Talent Wanted. For hazardous journey. Small wages, bitter cold, long months of complete darkness, constant danger, safe return doubtful. Honour and recognition in case of success.

Fridtjof Nansen crossed the Arctic, going places no human had ever been. Together with our users, we’re doing the same onchain: charting entirely new territory.

Nansen is the onchain analytics platform traders and funds use to see what’s actually happening on-chain. We label and track 500M+ blockchain addresses, the largest such dataset in the industry.

Our mission: Surface the signal and create winners.

This seat also comes with a defined runway: you’ll start as an IC, with a clear path to Engineering Manager within 12–18 months for the right person.

What you’ll do at Nansen

You’ll work with data engineers and ML engineers to build the data infrastructure that powers Nansen’s customer-facing analytics product.

• Design, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt
• Run the pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data every day
• Partner with crypto researchers, software engineers, and product to shape how data gets modeled, surfaced, and productized
• Own data quality, reliability, and observability end-to-end. At most analytics companies a wrong number is a support ticket. Here, it’s a position someone took.
• Mentor other data engineers and raise the technical bar across the team
• Use AI tools and agents to move faster and cut the busywork out of your day

What we’re looking for

• You’ve shipped and scaled high-performance data systems in production
• Deep expertise in SQL and Python, with real hands-on experience in dbt, ClickHouse, and Postgres
• Strong grasp of streaming data architectures, comfortable operating at genuine scale
• You work the full data stack: ingestion, transformation, storage, modeling, serving
• You already build with tools like Cursor, Claude Code, and MCPs
• You write clearly. This team is remote and async, so most decisions get made in writing
• Bonus: experience leading or managing projects in a smaller team, fluency in onchain data structures, Web3 technologies, and crypto markets

What we offer our crew

• Competitive salary. Meaningful equity. Real ownership in what you build
• Fully remote with support for in-person co-location
• Annual company retreat and team off-sites in Singapore, Bangkok, or Oslo, with flights and accommodation covered
• Unlimited AI tokens
• Your own OpenClaw for work
• Nansen Pro account: full access to the most detailed onchain data in the market
• Speed, ownership, curiosity, courage, transparency, simplicity
• A front-row seat (and a hand in building) the next chapter of finance

Work visa sponsorship is not provided for this role.

Safe return doubtful. Honour and recognition in case of success.

CSC Generation is building closed-loop decision systems that use machine learning to operate consumer businesses more intelligently.

We are starting with pricing and expanding into areas such as inventory, purchasing, promotions, marketing, and assortment.

The Role

You will help build systems that:

**estimate causal response + quantify uncertainty → choose actions → generate useful information → observe outcomes → update policies → evaluate challengers → deploy within guardrails**

We want to answer questions such as:

- What happens **because we change a price**, rather than simply what happens next?

- How should uncertainty affect a decision?

- When should the system exploit what it knows versus experiment to learn?

- Can we estimate the value of a challenger policy before fully deploying it?

- How do we optimize economic outcomes while respecting inventory, margin, vendor, customer, and operational constraints?

What You’ll Work On

Depending on your background, you may work across:

- causal and heterogeneous treatment-effect modeling;

- uncertainty estimation and calibration;

- contextual bandits, active learning, or sequential decision-making;

- policy learning and constrained optimization;

- counterfactual and off-policy evaluation;

- experimentation and champion/challenger systems;

- production ML infrastructure, monitoring, and automated deployment.

We care about selecting the right method, not using a particular framework.

What Success Looks Like

Success is not a better offline metric.

The systems you build should produce measurable economic lift in controlled experiments, generalize across businesses, learn from their own interventions, and safely automate an increasing share of real commercial decisions.

Over time, the goal is simple:

**the system should become better at operating the business because it has operated the business.**

What We’re Looking For

We care more about exceptional technical ability and judgment than matching a checklist.

Strong candidates will have experience in several of:

- machine learning and statistical modeling;

- causal inference and experimentation;

- recommendation, advertising, pricing, marketplace, credit, or other decision systems;

- bandits, reinforcement learning, optimization, or active learning;

- uncertainty estimation;

- counterfactual evaluation;

- production ML systems;

- Python, SQL, and large behavioral datasets.

Why This Role Is Different

Most ML systems learn from a dataset.

Here, **the decisions made by the model influence the data the model sees next**.

That creates a continuous loop:

**Decision → intervention → outcome → learning → better decision**

The long-term opportunity is to build that capability once and apply it across a portfolio of businesses and increasingly broad commercial decisions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!

Signifyd AI Lab (SAIL) builds the ML products behind Signifyd’s fraud and risk decisions. We improve the predictive performance of the models that decide e-commerce transactions at scale, we scale the ML capabilities of our Risk organization, and we push into the new markets and problem spaces that expand the market Signifyd can sell to.

Every space in this department is a mix of experimentation, code, and statistics.  We don’t create walls between the people who have the ideas and the people who build them. The team splits its time between near-term continuous model improvements and longer-horizon innovation bets to improve the company’s capabilities in 2027 and beyond.  These bets surface from the ground up in an environment where we believe those closest to the problems are best placed to understand how to solve them.

We’re hiring a manager to lead one of the teams in this department.

Who You Are

You are a hands-on Player-Coach who thrives in ambiguity—where the roadmap is a set of hypotheses, and the answer to “will this work?” is “we’ll know in three weeks.”

You bring:

Technical Credibility (The “Player”): You stay close enough to the work to have a grounded opinion. You read the code, inspect evaluation pipelines, and can immediately tell the difference between a statistical result that will hold up in production and one that just happened to look good on a single test window.

Leadership & Rigor (The “Coach”): You hold a high bar for evidence without becoming a bottleneck to experimentation. You mentor engineers to own their code quality, and you translate complex ML performance metrics into clear business outcomes for Risk leadership.

Executive Judgment: You know how to balance research bets against quarterly delivery, disagree and commit when decisions are made, and build an environment where well-documented negative experimental results are celebrated as real progress.

What You’ll Do

Lead and grow the team

• Guide career development, manage conflicts, and nurture a positive work environment.
• Develop career plans with team members, provide guidance on skill development, and follow up on their evolution.
• Engage in regular 1:1s, give constant feedback, and create a safe environment for open discussion — including the discussions that follow an experiment that didn’t work.
• Set clear goals, mentor the team, and foster a collaborative environment across a geographically distributed organization.
• Encourage a culture of learning and improvement, provide technical guidance, and support team members in both technical and soft skills.
• Conduct technical and hiring-manager interviews, train the team on interviewing techniques, and help us keep raising the bar as we grow.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

Run a portfolio of experiments, not a delivery queue

• Partner with your tech leads, who own and drive the technical roadmap for their areas. Your job is not to be the sole source of ideas — it is to pressure-test them, sharpen them, make sure the strongest ones get resourced, and make sure the people generating them have the room and the support to do it. When you do bring an idea, you bring it as a peer in the technical conversation.
• Make the calls the roadmap can’t make for you: which hypotheses get compute and headcount, which get another iteration, and which get a clear, documented “no.” A well-run negative result is a real outcome, and we treat it as one — but only if it’s declared, written down, and learned from.
• Manage the trade-off between a committed improvement target you must hit this year and research bets that may not pay off for several quarters. You will re-cut that budget as evidence arrives, and you’ll be able to explain the reasoning to both your team and your stakeholders.
• Bring rigor to how the team decides something worked. Offline results have to predict online behavior; a strong point estimate on a single evaluation window is a starting point, not a conclusion. You will be the person asking whether the improvement survives a rolling evaluation, whether it’s already captured by a change we shipped last month, and what would have to be true for it to be wrong.
• Own delivery on a cadence. Independent experimental workstreams have to converge into a release candidate, get evaluated end to end, and ship — including the hard call to leave a workstream out of a release when it isn’t carrying its weight.

Set direction from data, in partnership with Risk

• Work directly with our Risk partners as your primary stakeholders. Our commitments to them are explicit, measured, and written down; we deliver model performance, and they own thresholds, rules, and how decisions are applied to merchants.
• Operate with a high degree of autonomy. Our direction comes from measured performance against those commitments and from what our own experiments tell us, not from a product backlog handed to the team. You are expected to know what your team should be working on and to defend it, rather than wait to be told.
• Partner with our platform and infrastructure engineering teams on the feature systems, training pipelines, and experimentation tooling your team depends on — and be clear about where the boundary sits between what SAIL should own and what belongs to Engineering.
• Represent your team’s results to a broad audience: engineering leadership, Risk leaders, and the wider company.

What You’ll Need

• Roughly 5+ years in machine learning, data science, or ML-adjacent software engineering, including at least 3 years of people management — guiding career development, addressing conflicts, and building a healthy, high-performing team.
• Genuine depth in at least one of engineering and applied statistics, and real working competence in the other. We are not hiring a manager of analysts, and we are not hiring a manager of a pure software team. Our engineers train production models that decide serious traffic, and we expect their manager to be able to engage with that work at a technical level.
• Demonstrated ability to lead work under real uncertainty: setting a direction when the answer isn’t known yet, changing course when evidence says to, and communicating both without eroding your team’s confidence.
• Excellent written and verbal communication. Much of our decision-making happens in documents, and we expect managers to write well.
• Autonomy in recognizing priorities and evaluating the impact of outcomes, and comfort working without close supervision in a fast-moving environment.
• Commitment to quality. You take pride in work that excels in correctness, reproducibility, and reliability, and you set that standard for your team.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

Compensation:

In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.

Base Salary Ranges by Pay Zone:

• Tier 1 (NYC/SF Bay Area/Seattle): $220,000 – $245,000 annually
• Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $210,000 – $235,000 annually
• Tier 3 (US - All Other): $200,000 – $225,000 annually

Equity: This role is eligible for a stock option grant of 5,000 stock options, based on the position level and internal compensation guidelines.

Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.

Signifyd’s Applicant Privacy Notice

AIP Publishing is a leading publisher of the physical sciences. Working with us means being part of a mission: to accelerate scientific discovery while reimagining the future of scholarly publishing.

AIP Publishing helps brilliant work make a global impact. We’re building a living network of knowledge to spark thinking, connect people, and drive new ways forward — empowering a vibrant global community using science for good. We foster a collaborative, creative atmosphere and encourage a workplace culture that maximizes individual contributions.

We’re always looking to evolve the ways we think and operate, and we actively encourage an environment where everybody feels comfortable, seen, and able to do their best work. We’re looking to hire and develop colleagues who are astute, flexible, and always striving to “solve better problems” through thoughtful consideration of individual, team, organizational, and customer impact.

The Cloud Infrastructure Engineer reporting to the Senior Manager, Infrastructure & Cloud Administration, is a strong troubleshooter who enjoys solving complex technical problems, thrives as part of a collaborative DevSecOps team, and is interested in leveraging automation and emerging AI technologies to improve operational efficiency. This position is directly responsible for cloud administration, infrastructure operations, security remediation, system reliability, and Level 3 technical support.

How you’ll make an impact:

Infrastructure Operations

• Manage patching, updates, and lifecycle for Azure VMs and cloud workloads (e.g., Azure Update Manager).
• Support remaining on-premises infrastructure through its planned transition to cloud.
• Maintain operational documentation, standards, and procedures.
• Coordinate with vendors and service providers to resolve infrastructure issues.

Level 3 Support and Incident Response

• Act as an escalation point for complex infrastructure issues, partnering with senior engineers on the hardest problems.
• Troubleshoot cloud, server, networking, identity, and application connectivity problems.
• Participate in root cause analysis and problem resolution efforts.
• Participate in major incident response and problem management activities.

Identity and Security

• Support Microsoft Entra ID administration and identity services.
• Assist with Conditional Access, MFA, RBAC, and security remediation activities.
• Partner with the Information Security team on vulnerability management and platform hardening initiatives.
• Actively participate in the team’s DevSecOps practices, including working with security on scanning pipelines and shift-left collaboration with Development.

Collaboration and Delivery

• Work closely with Infrastructure, Security, Development, and business stakeholders to support projects, operational initiatives, and continuous improvement efforts.
• Use Jira and Azure DevOps to track work, document activities, and contribute to team delivery objectives.
• Take part in the team’s daily DevSecOps working sessions and cross-functional syncs to stay aligned on security, delivery, and operational priorities.

Automation and Continuous Improvement

• Develop and maintain PowerShell scripts, automation solutions, and operational improvements.
• Identify opportunities to reduce manual operational effort.
• Leverage AI-assisted tools such as Claude and Azure AI capabilities to improve troubleshooting, documentation, and operational efficiency.
• Contribute to infrastructure modernization and cloud optimization initiatives.

What you’re great at:

• Strong troubleshooting and analytical skills.
• Understanding of networking, identity, and security fundamentals.
• Strong written and verbal communication skills.

What we’re looking for:

• 3–5 years of infrastructure, systems administration, or cloud operations experience.
• Hands-on experience administering Microsoft Azure environments.
• Experience supporting Windows Server environments.
• Experience with Microsoft 365 and Microsoft Entra ID.
• Experience with PowerShell scripting.
• Experience working within a cross-functional Cloud Operations or DevSecOps team.
• Experience using work management and collaboration platforms such as Jira.
• Availability to participate in occasional scheduled maintenance windows and after-hours response during major incidents or critical outages
• Azure Administrator Associate (AZ-104) certification is a plus.

Our excellent total rewards package includes:

• A remote workforce with staff based in NY, NJ, CT, MD, VA, PA, MA, RI, or Washington, DC, who meet in person for collaboration, training, strategic planning — and fun!
• Generous paid time off and paid sick and safe leave
• Flexible Work Schedule
• Competitive medical, dental and vision benefits
• Exceptional retirement benefits
• Monthly remote stipend
• Training and Tuition assistance
• Employee Assistance Program

Salary Range:

$125,000 - $135,000

At AIPP, we offer competitive compensation based on the role, experience, and other relevant factors. Under the New York Convenience Rule, all employees, regardless of their residence in other states, will be taxed at the New York State tax rate. Employees may also have additional state-specific tax obligations depending on where they live.

A wholly owned not-for-profit subsidiary of the American Institute of Physics (AIP), AIP Publishing’s mission is to advance, promote, and serve the physical sciences for the benefit of humanity by breaking barriers to open, fair research communication and empowering researchers to accelerate global progress. AIP Publishing supports the charitable, scientific, and educational purposes of AIP through scholarly publishing activities on its behalf and on behalf of our publishing partners. Our publishing portfolio includes digital books, AIP Conference Proceedings, and peer-reviewed journals across a spectrum of research areas, including our flagship titles Applied Physics Reviews, Applied Physics Letters, Journal of Applied Physics, and The Journal of Chemical Physics.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local law.

https://publishing.aip.org/privacy/

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

As an Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.

The role will be reporting to Engineering Manager,  Data Platform

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
• Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
• Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
• Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
• Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements

Qualifications:

• A proven ability to learn new technologies, frameworks, and problem domains
• A focus on solving big picture problems with a focus on product and the end user
• Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
• Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
• Strong familiarity with SQL with the ability to write and optimize queries
• Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
• Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
• Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
• Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
• Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
• (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
• (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
• (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

The Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink’s platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
• Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
• Write production Elixir and Python services for event processing, transformation, and routing
• Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
• Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
• Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
• Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

• Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
• Advanced SQL skills for data modeling, query optimization, and analytical workloads
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
• Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
• Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
• Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $130k CAD - $165k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

About CoLab

At CoLab, we help mechanical engineering teams bring life-changing products to market years sooner.

CoLab is the AI platform for driving stronger engineering decisions. Every design review in CoLab builds a knowledge repository of design feedback, decisions, and lessons learned - which AI agents draw from to flag issues on future designs before they compound. The more your team works in CoLab, the smarter it gets and the faster you arrive at the ideal design. Companies like Ford, Komatsu, and Johnson Controls use CoLab to catch issues earlier, eliminate rework cycles, and bring products to market faster.

Founded in St. John’s, Newfoundland, CoLab has grown quickly from our first customer in 2019 to a rapidly scaling company. We’ve recently been recognized on Deloitte’s Fast 50™ and Fast 500™, and named a Canadian company to watch by The Globe and Mail and Financial Post.

About the Role

We’re looking for a Senior Backend Developer to join our Build Operator team.

Operator isn’t a chatbot bolted onto our product. It’s becoming the intelligence layer across CoLab, helping engineering teams search company knowledge, surface design decisions, answer complex questions, and generate insights from years of engineering work.

You’ll join the team responsible for the backend systems that make this possible. That means building scalable retrieval pipelines, evolving our AI search infrastructure, integrating structured and unstructured engineering data, and developing the services that power intelligent experiences across the platform.

Over the next year, Operator will expand well beyond conversational search. You’ll help build capabilities like company-wide knowledge retrieval, dynamic reporting, AI-generated dashboards, and personalized engineering insights that become embedded throughout CoLab.

This is a role for someone who enjoys solving deep backend problems. You’ll spend far more time thinking about data architecture, search quality, retrieval systems, and scalable services than building user interfaces.

The work is complex and often ambiguous. This role exists because there often isn’t an existing pattern to follow.

Our Ideal Candidate

You’re an experienced backend engineer who enjoys building systems that make complex information useful.

You like thinking about how data is organized, retrieved, and transformed into something customers can trust. Whether you’re designing APIs, optimizing distributed systems, or improving search relevance, you care about building infrastructure that quietly powers exceptional product experiences.

You don’t need previous experience building AI products, but you’re excited about applying modern AI technologies to solve real customer problems.

You likely won’t enjoy this role if:

• You prefer working primarily on frontend applications
• You want highly defined requirements before starting work
• You’d rather optimize existing systems than design entirely new capabilities

You’ll thrive if:

• You enjoy designing backend systems from first principles
• You like difficult infrastructure and data problems
• You’re curious about AI, search, and knowledge systems
• You balance technical excellence with pragmatism and collaboration

Job Responsibilities

• Design and build the backend services that power Operator
• Develop scalable retrieval systems that connect engineering knowledge across design reviews, notebooks, search, and other product surfaces
• Build APIs and services that enable AI-powered experiences throughout the platform
• Improve search quality, data pipelines, and knowledge retrieval performance
• Expand Operator’s capabilities to support intelligent reporting, dashboards, and engineering insights
• Design systems that organize company knowledge across business units, engineering domains, and manufacturing processes
• Collaborate closely with AI, Product, Design, and Engineering to deliver customer-facing capabilities
• Improve reliability, observability, and performance across backend infrastructure
• Mentor teammates through architecture discussions, code reviews, and technical leadership

Qualifications

• 7+ years building production backend software
• Strong experience with Python and modern backend development
• Experience building APIs, distributed systems, and cloud-native applications
• Strong understanding of databases, system architecture, and scalable backend design
• Experience working with structured and unstructured data
• Comfortable making architectural decisions in evolving product environments
• Excellent communication skills with both technical and non-technical teammates

Bonus Points

• Experience building AI-powered applications or LLM workflows
• Experience with retrieval systems, semantic search, or RAG architectures
• Experience with vector databases or search infrastructure (TurboPuffer experience is a plus)
• Experience with embeddings, ranking, or information retrieval
• Experience with event-driven architectures
• Experience building enterprise SaaS platforms

The Extra Details

• This is a full-time, permanent position with competitive compensation and stock options
• We offer extended health benefits, unlimited paid vacation, and RRSP matching
• Our headquarters are in St. John’s, Newfoundland, with flexible hybrid and remote options. This role can be performed remotely from anywhere in Canada.

Equity Note

Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications. We encourage you to help us break that statistic and apply even if you don’t meet every single qualification–your potential is what matters most to us.

Why NeuraFlash, Part of Accenture:

At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you’re developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you’re ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you.

The ideal MuleSoft TA will be responsible for writing clean and flawless code to produce fully functional modules or apps according to the requirements, as part of day-to-day work. You will lead a team of developers to provide the best-in-class MuleSoft implementation solutions.

Responsibilities:

• You will execute MuleSoft implementations for customers and start on your journey to internalize business outcomes and business context relevance to MuleSoft implementation methodologies and approaches
• You should have MuleSoft technical certifications and fully ramp-on technology and implementation methodologies knowledge
• Should develop subject matter expertise on project deliverables and contribute to internal knowledge exchange
• Be a mentor and provide guidance to junior Services team members and help to build out our services organization
• Continue to lead technical teams through multi-phased delivery projects and provide hands-on delivery guidance to influence standards for development, governance, and operational life cycle
• Evangelize, train, coach, and mentor Services team members on hard technical skills and soft skills
• You should have prior experience in designing, developing, securing, and managing APIs via API Gateways and Proxies
• You should also be experienced in handling design patterns with MuleSoft integrations and Salesforce
• MuleSoft API development experience on Anypoint platform, building complex flows with Anypoint studio, complex data weave transformation, experience with different connectors like Salesforce, DB, error handling, experience with Munit, API design, development, and tuning

Requirement:

• 5 to 10 years experience leading integration teams and architecting solutions
• Preferred experience with Java and Salesforce in a development or configuration capacity
• Should have experience with various MuleSoft connectors for e.g SAP, Salesforce, Netsuite, File, Database etc.
• Working knowledge of on-premise/cloud-based infrastructures, SDLC pipelines, and deployments/configuration
• Demonstrated ability to effectively architect solutions within a diverse technical team of client, SIs, contractors, and internal teams
• Demonstrated expertise in architecting, implementing, and supporting enterprise-grade technical solutions
• MuleSoft Platform Development/Architecture - Participate in creation of technical stories to support functional user stories
• Work as a MuleSoft developer in addition to being client facing for any MuleSoft related questions

Certifications:

• MuleSoft Developer Level 1 (Mule 4)
• Preferred : MuleSoft Certified Architect

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted on 8/14/2026 and open for at least 3 days.

California Annual Salary Range

$94,400 to $266,300 USD

Cleveland Annual Salary Range

$87,400 to $213,000 USD

Colorado Annual Salary Range

$94,400 to $230,000 USD

District of Columbia Annual Salary Range

$100,500 to $245,000 USD

Illinois Annual Salary Range

$87,400 to $230,000 USD

Maryland Annual Salary Range

$94,400 to $230,000 USD

Massachusetts Annual Salary Range

$94,400 to $245,000 USD

Minnesota Annual Salary Range

$94,400 to $230,000 USD

New York / New Jersey Annual Salary Range

$87,400 to $266,300 USD

Washington Annual Salary Range

$100,500 to $245,000 USD

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

What’s it like to be a part of NeuraFlash, Part of Accenture?

• Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you’re one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we’re focused on keeping everyone connected and unified as one team.
• Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don’t mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients.
• Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn’t possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done
• Collaboration: You have a voice here!  If you work with a team of smart people like we do, it’s a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving.  Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small.
• Celebrate Often: We take our work seriously, but we don’t take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don’t forget to slow down and celebrate the big things and the small things together.

Join Our Mission

Learnlight is an EdTech company that believes in putting people first. We take every opportunity to do that with enthusiasm, initiative, and commitment. We find joy and deep satisfaction in delighting our clients, empowering our learners, and helping our team to excel in everything they do.

Our mission is to help organizations develop human skills to understand, empathize, and connect effectively with others in the global workplace. We exist to close the gap between strategy and execution by building communication skills that make companies collaborate more effectively: language, cultural intelligence and interpersonal fluency. We do this through a combination of best-in-class trainers and a leading, AI-powered platform. Combined with a long-term, sustainable approach, we aim to safeguard our people, the communities we serve, and our planet.

Your Career Opportunity

In this exciting new career opportunity, you’ll be reporting to the Engineering Manager on full-time hours and working from home remotely.

As a Frontend Software Engineer, you’ll have a direct impact on developing and maintaining complex web applications using React.js and other front-end technologies.

Collaborating with colleagues from our Innovation Department, you will:

• Develop and maintain complex, high-quality web applications using React.js and modern front-end technologies

• Work closely with designers and backend teams to deliver responsive, user-friendly, and visually polished interface

• Write clean, well-structured, and scalable code following best practices and documentation standards

• Optimize application performance to ensure speed, scalability, and a smooth user experience

• Troubleshoot, debug, and resolve issues throughout development, testing, and deployment

• Mentor junior developers and stay current with emerging front-end trends to guide technical direction

What You’ll Offer

• Advanced level of English, with strong communication skills

• At least 5 years of professional experience with React.js

• Strong proficiency in JavaScript, HTML, and CSS

• Hands-on experience working with GraphQL or RESTful APIs, and developing responsive user interfaces

• Familiarity with Agile/Kanban methodologies and tools such as Atlassian Cloud

• A strong understanding of web accessibility (WCAG) and the ability to create inclusive, user-friendly digital experiences for everyone

• Experience with state management libraries (e.g., Redux, MobX) and testing frameworks such as Jest, Enzyme, or Cypress is a plus

What We Offer

• Work-Life Balance: Benefit from our remote work from home culture, with options to collaborate with colleagues in regional offices (if applicable). Enjoy generous paid time off including public and personal holidays and two company-wide days off per year to recharge.

• Learning & Development: Access to language learning, masterclasses and professional development opportunities with a culture of coaching and constructive feedback.

• Community Events: Make new friends and connect with colleagues at virtual wellbeing sessions, team-building activities and informal social clubs.

• Cultural Collaboration: Our Intercultural Assessment provides valuable insights to help you build collaboration across diverse cultures.

• Recommend a Friend: Earn a bonus by referring talented professionals to join Learnlight through our referral program (conditions apply).

• Regardless of gender, religion, ethnicity, sexual orientation, age or disability, we are proud to welcome, and support, new talent from all communities. Click to learn more about our Diversity, Equity, Inclusion Workplace Certification and commitments.

Ready to Join Us?

Our colleagues – also known as Learnlighters - live by our values of enthusiasm, initiative and commitment. We review applications regularly and interviews are being scheduled now, so we encourage you to apply as soon as possible. Learnlight is a global company and we look for English communication skills for effective collaboration - please apply with your résumé in English.

The personal data you provide will be processed by Learnlight in order to manage your candidacy for the corporate selection processes that fit your profile. Under the legal conditions, you have the right to access, rectify and delete the data, to limit its processing, to oppose its processing and to its portability to our address (Calle de las Huertas 11, 28012 - Madrid) or to the email address privacy(at)learnlight.com. You can find more information in the Privacy Policy of our website https://www.learnlight.com/en/privacy-policy/

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About Omnidian

Omnidian, Inc. is a fast-growing Series C tech-enabled service company revolutionizing performance assurance for the distributed solar and energy storage industries.  Omnidian is building a more sustainable future for the planet through our passionate teams, our innovative technology, and by creating an amazing customer experience. We are a certified B Corp, headquartered in Seattle, WA

The Job

As a Senior Salesforce Developer – Field Service at Omnidian, you will design, develop, and optimize Salesforce Field Service solutions that power our technician experience and field operations. You’ll leverage the latest Salesforce AI capabilities to automate workflows, improve technician productivity, and enhance customer experiences while building scalable, secure, and maintainable platform solutions.

You are a hands-on Salesforce engineer with deep expertise in Field Service who embraces AI-assisted development and modern engineering practices. You’ll partner closely with Product, Operations, Customer Experience, and Engineering teams to deliver intelligent solutions that improve scheduling, dispatching, work execution, and operational efficiency.

What You’ll Do

At Omnidian we believe in trust and autonomy. How you create an impact is ultimately up to you. Here is an outline of some of the things you’ll be doing:

Salesforce Field Service Development

• Design, develop, and maintain scalable Salesforce Field Service solutions using native platform capabilities and custom development.
• Configure and customize Field Service functionality, including Work Orders, Service Appointments, Service Resources, Service Territories, Work Types, Scheduling Policies, Dispatcher Console, and Field Service Mobile.
• Build modern Lightning Web Components (LWC), Apex services, Flows, and Platform Events that support technician and dispatcher experiences.
• Develop mobile-first solutions that improve field technician productivity and customer service.

AI-Driven Engineering

• Leverage AI-assisted development tools to accelerate software delivery, improve code quality, and automate repetitive development tasks.
• Design and implement AI-powered Salesforce solutions using capabilities such as Agentforce, Einstein AI, Prompt Builder, and Model Builder where appropriate.
• Build intelligent automations that improve technician recommendations, work order routing, knowledge retrieval, and operational decision-making.
• Evaluate emerging Salesforce AI capabilities and recommend practical use cases that improve business outcomes.
• Partner with Product and Operations teams to identify opportunities where AI can reduce manual effort and improve field service efficiency.

Platform Engineering

• Develop high-quality solutions using Apex, Lightning Web Components, SOQL, Flow, Platform Events, and Custom Metadata.
• Balance declarative configuration with custom development to build scalable, maintainable solutions.
• Ensure applications meet Salesforce best practices for security, performance, scalability, and governor limits.
• Perform code reviews, maintain automated testing, and contribute to engineering standards and platform quality.

Integrations & Automation

• Build and maintain integrations between Salesforce Field Service and enterprise applications using REST APIs, event-driven architectures, and platform-native integration capabilities.
• Design reliable automation that supports scheduling, dispatching, technician workflows, and customer communications.
• Collaborate with cross-functional teams to improve operational processes through intelligent automation and platform enhancements.

Who You Are

• You’re an experienced Salesforce developer with deep expertise in Salesforce Field Service and Service Cloud.
• You have embraced AI-assisted software development and use modern AI tools to improve engineering productivity and solution quality.
• You understand how AI can enhance business workflows and customer experiences - not just generate code.
• You know when to configure Salesforce, when to build custom solutions, and when AI capabilities can deliver business value.
• You enjoy solving complex technical challenges while keeping user experience and operational efficiency at the center of your decisions.
• You collaborate effectively across engineering and business teams and communicate technical concepts clearly.
• You mentor teammates, promote engineering best practices, and continuously improve how software is built and delivered.

Experience You’ll Need

• 5+ years of hands-on Salesforce development experience with Service Cloud and Salesforce Field Service.
• Strong experience customizing Field Service capabilities, including Work Orders, Service Appointments, Service Resources, Service Territories, Dispatcher Console, Scheduling Policies, and Field Service Mobile.
• Proficiency in Apex, Lightning Web Components (LWC), SOQL, Flow, Platform Events, and Custom Metadata.
• Experience building integrations using REST APIs and Salesforce integration patterns.
• Demonstrated experience using AI-assisted software development tools (such as GitHub Claude Code, OpenAI Codex, or similar) to improve development velocity, testing, documentation, and code quality.
• Experience designing or implementing Salesforce AI capabilities such as Agentforce, Einstein AI, Prompt Builder, or AI-powered automation.
• Strong understanding of Salesforce security, governor limits, data modeling, and platform architecture.
• Experience working in Git-based, source-driven development environments with modern CI/CD practices.
• Proven ability to own features from design through deployment and production support.

Experience That’s a Plus

• Salesforce Field Service Consultant certification.
• Salesforce Platform Developer II certification.
• Experience implementing Agentforce for customer service or field service use cases.
• Experience building AI-powered technician assistants, intelligent scheduling, or knowledge retrieval solutions.
• Experience integrating Salesforce with ERP, telephony, GIS, or customer communication platforms.
• Experience with MCP, or enterprise AI integration patterns.
• Experience in renewable energy, utilities, asset management, or home services industries.
• Experience working in high-growth SaaS or technology organizations.

Work-Life & Culture

• We provide outstanding benefits including family medical, dental, vision, disability, 401(k) administration and $1k match per year and thoughtful paid time off
• We offer 12 weeks of paid parental leave to all FTE employees (birthing and non-birthing) after 1 year, and four-week paid sabbatical leave after four years
• We offer a competitive total compensation package that includes monthly health insurance premiums, bonuses and long-term stock options for every employee
• We love to lift each other up through company-wide slack channels such as #puppiesandpets, #omnidian-wellness, #praiseandbooms and #sustainablefuture
• We have affinity groups to help employees feel seen and supported, such as Rainbow Array, Black Lights Matter, Neurospicy R Us, Puente and more.
• We are a passionate, mission driven team that believes in collaboration, mutual respect and trust. For examples, come Discover our Story!

Grow with Us

• We mentor and invest in our employees and prioritize them for future opportunities. Check out our Instagram reels to see a few career journey examples, or this Omnidian Career Experience overview on YouTube.
• Internal candidates: Check out our advice on Internal Transfer: Job Application Process; Alums, email us after you apply.
• Here are the roles in this career track:
  • Staff Developer
  • Principal Developer
• We’re a fast-growing growth company, which means we’re constantly reinventing processes, adding new products, and asking people to use all of their skills and talents. That means there’s going to be a lot of opportunities for you to grow, which also means you will likely be stretched in ways you’ve never experienced in a job before. If you are resilient, determined, and not afraid of a big challenge, come apply.

Privacy

California-based candidates: To understand more about the data we collect and process as part of your application, please view our California Job Candidate Privacy Policy. https://www.omnidian.com/privacy-policy-ca-candidates/

Diversity and Inclusion

We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our customers. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. We value diversity and inclusion and are committed to ensuring our hiring and retention practices, as well as our office culture, reflects this value.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Omnidian is an equal opportunity employer.  We are committed to diversity in the workplace.  We make employment decisions on the basis of merit and business need.  We hire without consideration to age, ancestry, citizenship, disability, gender expression, gender identity, marital status, national origin, political activity or affiliation, race, religion, sexual orientation, veteran status, or any other basis protected by law.

We invite you to be part of our mission to create a workplace that is inclusive and welcoming to all.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

CodePath is the largest educator of college computer science students in the country. We’ve trained over 40,000 students from 1,000+ universities, and our partners include Amazon, Google, and other leading technology companies. We’ve spent nearly a decade training the next generation of technical talent, and we just launched a $150M initiative with Anthropic, building one of the most ambitious AI workforce programs in the world.

We’re now expanding into new markets and scaling our team so we can move at the speed AI is transforming the workforce. People joining CodePath now will have the opportunity to help architect the next frontier of our work.

We believe technical skill is the fastest way to turn raw talent into real opportunity. We train the engineers the AI era runs on, building toward millions of learners, hundreds of millions in revenue, and billions in economic impact. If you want to own something and be part of a 0-to-1 journey at an organization moving at the speed of AI, this is the place to build it.

About the Role

Location: Remote, United States, Europe, Canada or LATAM

Role-Type: Full-Time

Reports To: VP of Engineering

Compensation: $170,000 to $190,000 per year for US based applicants. Adjusted contingent on location for applicants based in Canada, LATAM, and Europe.

CodePath’s educational programs run on our sophisticated learning platform, a set of Ruby-based applications with functionality spanning admissions, course delivery, grading, career coaching, and reporting.

We’re looking for a Staff Software Engineer who can lead at multiple levels at once: the architecture, the product direction, the team’s capacity, and the longer arc of where we’re going. You’ll move fluidly across the full technical stack, from infrastructure decisions to greenfield product work.

This is a high-ownership role. You’ll work directly with stakeholders to understand what students and staff actually need, participate in deciding what gets built, and then lead the execution. You won’t be handed a ticket queue. You’ll shape the work.

The ideal candidate for this role is a web engineer inspired by potential projects like these:

• Building brand-new functionality in Rails and beyond to create sophisticated and powerful new tools for our users and extend our reach to new kinds of learners we’ve never been able to serve before

• Reimagining core platform components as we migrate them from Sinatra to Rails

• Integrating AI/ML technology into our platform to support mastery-driven, adaptive learning

• Scaling a system that has helped tens of thousands of students to help hundreds of thousands more

Key Activities

• Architect and build web applications across Ruby on Rails, Sinatra/Padrino, and Django that directly support our mission

• Make consequential technical decisions on infrastructure, data modeling, API design, and emerging technologies with full ownership of the tradeoffs

• Set the code quality bar through reviews, architectural guidance, and constructive feedback

• Write automated tests that reflect real edge cases, not just coverage targets

• Identify performance bottlenecks and systemic issues before they become outages

• Mentor other engineers and raise the technical ceiling of the team

Qualifications

• 10+ years of software engineering experience, including at least 5 years with Ruby on Rails

• Familiarity with Claude Code or similar development tools and related best practices

• A systems-thinking orientation: you consider scalability, maintainability, and failure modes before writing a line of code

• Strong PostgreSQL and database design skills, including experience with complex queries, indexing strategies, and schema evolution

• Reasonable working familiarity with the full web stack, from infrastructure to CSS

• Demonstrated ability to lead technical decisions in a small, autonomous team environment

• Strong written and verbal communication. You can explain a technical tradeoff to a non-engineer without losing what actually matters

• Passion for education and desire to make a positive impact

Nice to haves

• Familiarity with higher education or edtech

• Direct experience working with LLMs and generative AI in production

• Familiarity with Docker, Ansible, and/or Terraform

• Experience deploying on GCP

Full-Time Employee Benefits:

This is a 100% remote position! CodePath prioritizes employee well-being with a competitive benefits package to support your health, financial security, and work-life balance.

• Health & Wellness: Medical, dental, and vision insurance (90% employer-covered for employees and dependents), employer-funded healthcare reimbursement, FSAs, and Employee Assistance Program

• Financial Security: 401(k), employer-paid life & disability insurance, and identity theft protection

• Work-Life Balance: Generous PTO, paid holidays, 10 weeks of fully paid parental leave, and an annual year-end company closure (Dec 24 – Jan 2)

• Professional Growth: $1,000 annual professional development stipend and home office setup support

• ​​Student Loan Forgiveness: CodePath is a qualifying employer for Public Service Loan Forgiveness (PSLF), helping employees manage student loan debt

• Additional Perks: Pet wellness plans, legal services, home/auto insurance discounts, and exclusive marketplace savings

Pay range

$170,000—$190,000 USD

Who We Are

At Firstup, our mission is to improve the employee experience at every moment that matters, large and small. As the communication pipeline for the world’s workforce, we now serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily.

Our employees are experts in the employee experience, workforce communications and technology.

Joining Firstup means joining a movement to make work better for every worker. As the world’s first intelligent communication platform, Firstup meaningfully engages employees at every moment from hire to retire, and delivers engagement insights to help companies support, promote and retain their talent. Our movement has taken root and is evident in our world-class customer base. Now we need your help. Ready to make a difference in the world?

Job Summary

We’re looking for a Senior Full Stack Engineer who thrives at the intersection of craft and scale. You’ll design and deliver large-scale, multi-tenant cloud services — with a relentless focus on availability, fault-tolerance, and elegant architecture. You’ll set the bar for engineering quality and help elevate those around you.

Responsibilities

• Core Engineering & Ownership: Build and own scalable SaaS applications end-to-end — frontend, backend, and data layers. Write production-grade code that is reliable, readable, efficient, and testable. Raise the bar through thoughtful code reviews and comprehensive documentation.

• System Architecture: Design future-ready architectures and proactively close gaps before they become problems.

• Performance & Reliability: Drive system availability and performance — investigate, analyze, and resolve reliability issues across the stack. Recognize opportunities and advocate for better performance and efficiency of software, systems, and processes across teams.

• Shift Left Testing & Quality: You champion a rigorous ‘shift-left’ quality culture, embedding comprehensive testing—unit, integration, and contract—early and continuously in the development lifecycle, not as an afterthought.

• AI Integration: Leverage and advocate for AI-assisted tools (e.g., GitHub Copilot, Claude) to accelerate development while maintaining rigorous engineering judgment and accountability for code correctness.

• Leadership: Drive team-wide best practices, conduct quality code reviews, and mentor engineers to elevate overall engineering quality.

• Collaboration (Product & Design): Partner with Product and Design to translate requirements into intuitive UI, making informed technical trade-offs in the face of ambiguity.

• Collaboration (Engineering Standards): Champion engineering best practices across teams and collaborate on solving complex, high-impact problems.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related field, or equivalent experience.

• 5+ years building reliable, performant applications and microservices in production environments. Proven full stack fluency - you’re comfortable across frontend, backend, and the database layer.

• A polyglot mindset — you evolve with the tech. Familiarity with Ruby on Rails, TypeScript, Node.js, or React.js is a strong plus.

• Proven full-stack experience across frontend (React.js), backend, and database layers.

• Technical depth in at least one engineering domain: distributed systems, multi-tenant SaaS, application databases, networking, security, serverless, event streaming, or similar.

• A genuine drive to build beautiful, intuitive products with the customer always in focus. Innate curiosity — you love learning and have a desire to teach and lift others. Strong communication skills and openness to collaborative idea-sharing across teams.

Preferred Qualifications:

• Core Stack Experience: Familiarity with Ruby (including Ruby on Rails), TypeScript, Node.js, or React.js is a strong plus.

$120,000 - $190,000 a year

Firstup expects the base salary for this role to be between $120,000-$190,000. The starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

Why Firstup?

Because you care - about people, the work you do, and the connections you make. Work is such a large part of life; it only makes sense to make it awesome.

If you want to engage brilliant minds in a high-growth and inclusive environment where ideas are rewarded regardless of who they come from, join us. This is a rapidly changing space so if you thrive on ambiguity, are hungry for a challenge, and have the guts to speak your mind, you could be a perfect fit.

We offer an excellent PTO program, great health benefits, a casual and friendly environment, remote work, and a leadership team who truly believes in your growth – both personally and professionally.

Firstup is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state or local laws.

#LI-TM1

#LI-Remote

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

Recovering entrepreneur? Frustrated with bureaucracy? Want to write the roadmap, not inherit one?

We’re hiring across multiple levels and verticals. The nice thing about growing 30%+ at ~$2B ARR is that we need great engineers everywhere, and we have the room to shape the role around the right person. You build like a founder. We give you the platform to do it at scale.

About the role:

Samsara (NYSE: IOT) sits at the center of hardware, software, AI, and the physical world. The platform processes 25+ trillion data points annually from IoT sensors, cameras, and connected devices across thousands of organizations, and that dataset is compounding: it grew from 4 trillion to 25+ trillion in four years. We’re still early in turning that data into the products that will define how physical operations run, and we’re hiring the engineers who will build what comes next.

We’re approaching ~$2B ARR growing 30%+ year over year, with 96% of our largest customers on two or more products. The fastest-growing divisions at Samsara are tackling the hardest, most ambiguous problems at the company: building new products from scratch, applying AI and ML to massive real-world datasets, and shipping capabilities that change how organizations maintain equipment, manage fleets, and run day-to-day operations. Most of this work is zero-to-one, at billion-dollar scale.

We’re looking for software engineers who want to define what ships next. Leveling is broad and flexible: we’re hiring from Senior through Staff+, across platform and product, and we’re open to shaping scope around the right person’s strengths and interests. That window won’t stay open long.

This role is remote and open to candidates residing in the US. Relocation assistance will not be provided for this role.

You should apply if:

• You want to impact the industries that run our world. The software you build will have real-world stakes: helping keep the lights on, getting food into grocery stores, keeping workers safe. What ships here isn’t metrics on a dashboard. It shows up on the loading dock, the job site, and the dispatch floor.
• You want to build, not maintain. Samsara is in full growth mode. We’re building new systems from scratch, not babysitting old ones. You’d own entire problem spaces end to end, with the autonomy to set direction from day one.
• You want to work where AI meets the physical world. Samsara has spent a decade building the largest proprietary dataset for physical operations. More connected assets generate more data, more data trains better models, better models drive more value, and more value wins more assets. The market and the opportunity here are what set us apart, not just the models.
• You believe customers are more than a number. Samsara engineers have a rare closeness to end users. You’ll participate in customer interviews, collaborate with product managers and customer success, and use that context to build products that solve real problems operators face every day.
• You have the curiosity and drive to figure it out. We’re looking for people who take pride in their work and get things done at all costs. The engineers who thrive here don’t wait to be told what to build. They define it, ship it, and own the outcome. The rate-limiting step on our teams isn’t tooling or process. It’s ambition.

In this role, you will:

• Take ownership of technically complex, mission-critical areas and run with them. We want to point you in a direction and show up to the demo meeting impressed, not spend our weeks managing the details.
• Define and drive technical strategy for new products and platform capabilities, from backend services and APIs to the customer-facing UI.
• Design and ship full-stack features end to end. You’ll work across backend, frontend, and potentially mobile to deliver AI-powered products that solve real operational problems.
• Partner with product, design, and customer-facing teams to translate ambiguous, real-world problems into clear technical plans and measurable outcomes.
• Build and scale the systems behind AI-driven products, including data ingestion, APIs, and the workflows that put intelligence into the hands of operators.
• Raise the bar for the engineers around you through code reviews, design reviews, technical mentorship, and by setting a standard for quality, velocity, and craft.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Minimum requirements for the role:

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• 8+ years of experience in software design and development, including building and operating production systems at scale.
• Strong full-stack fundamentals. You’re comfortable working across backend services, APIs, and frontend (web or mobile) to ship complete products.
• Proficiency in modern languages and frameworks (Go, Python, TypeScript/JavaScript, React, or similar).
• Demonstrated experience leading cross-team or cross-org projects from inception through rollout, including managing ambiguity, driving alignment, and delivering measurable impact.
• Experience building AI-powered or data-driven products. You don’t need to train models, but you know how to take AI capabilities and turn them into products customers love.
• Strong communication skills and the ability to translate between technical and non-technical stakeholders.
• A track record of building: zero-to-one products, systems you left in a meaningfully better place, or hard problems you refused to let stay unsolved.

An ideal candidate also has:

• Experience shipping AI-powered features in production, whether that’s LLM-based products, agentic workflows, recommendation systems, or other customer-facing AI.
• Comfort with modern AI-augmented development workflows (Cursor, LLMs, etc.) to multiply your output and accelerate delivery.
• Background working with real-world operational data (telematics, sensor data, work orders, inspections) or a strong interest in learning the domain.
• A proven track record of mentoring senior engineers and influencing engineering culture, standards, and best practices beyond a single team.
• Side projects, open-source contributions, or other signals of curiosity and drive outside the scope of your day job.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary

$142,800—$184,800 CAD

Total Rewards

At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.

Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Belonging at Samsara

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Our Commitment to Authenticity

We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.

Description:

Structural Integrity Associates, Inc. (SIA) is currently seeking an experienced Engineering Consultant to fill a position in the Management of Aging Piping (MAP) Programs group. This group provides engineering and consulting services for most phases of above-ground piping, buried piping, and underground asset integrity programs. The successful candidate will be responsible for providing subject matter expertise related to Balance of Plant (BOP) Asset Life Cycle Management.

The ideal candidate will possess a solid understanding of BWR and/or PWR systems, experience supporting utility-side Flow Accelerated Corrosion (FAC) or BOP program ownership, and the ability to translate degradation mechanisms into actionable engineering recommendations. Additionally, the ideal candidate will contribute as a Subject Matter Expert (SME) in inspection and degradation assessment/evaluation.

This position is based out of our Denver, CO office but remote work may also be considered.

Primary Responsibilities:

• Provide engineering support for FAC program implementation, including inspection planning, evaluation of degradation mechanisms, and wall-thinning assessments.
• Perform flaw evaluations and support application of ASME Code Case N-513 for buried and above-ground piping systems.
• Contribute to the development, integration, and implementation of Aging Management Programs (AMPs) for license renewal and subsequent license renewal.
• Analyze system and component integrity across BOP applications, with a focus on risk-informed programmatic decision-making.
• Interface with and contribute to the enhancement of MAPPro software tools related to corrosion, FAC, flaw analysis, and cathodic protection.
• Support or lead proposals, scoping efforts, and client engagement activities aligned with SIA’s strategic growth areas.
• Collaborate with colleagues across SIA’s Nuclear business unit to develop and implement turnkey solutions that span FAC, CP, flaw evaluation, soil corrosivity, and program management.
• Develop client relationships and provide on-time, high quality deliverables.

Required Skills/Qualifications:

• BS in Mechanical, Nuclear Engineering or similar discipline. Master’s degree, PMP, and/or MBA desired.

• Professional Engineering (PE) Licensure or ability to obtain PE license desired.

• 7+ years of relevant experience in engineering program support for operating nuclear plants.

• Demonstrated experience with FAC programs, such as FAC Manager, CHECWORKS, or equivalent software, and nuclear plant BOP systems.

• Working knowledge of ASME Section XI and Code Case N-513, including flaw acceptance criteria and evaluation methodologies.

• Experience developing or implementing AMPs in support of License Renewal (LR) or Subsequent License Renewal (SLR).

• Familiarity with MAPPro or similar asset management software platforms preferred.

• Advanced knowledge of related engineering standards, techniques and criteria and ability to interpret and apply codes, regulations, and industry best practices.

• Broad understanding of BWR and/or PWR systems and familiarity with proper remediation tactics.

• Proficient in writing and reviewing technical reports and proposals, with exceptional verbal and written communication skills

• Proficiency with Microsoft office applications, including Word and Excel

• Ability to travel up to 15% or more, upon request

• Previous Business Development experience preferred

• US Citizen or Permanent Residency

Competencies

• Strong client interface to both foster new and strengthen existing relationships
• Ability to identify and capitalize on areas for market growth for both products and services
• Ability to grasp and tackle complex assignments
• Ability to provide expert technical consultation to other engineers and management
• Strong planning and project management skills
• Strong technical and organizational leadership skills
• Good oral and written communication skills, including ability to deliver presentations confidently
• Strong problem identification and problem resolution skills
• Must be a self-starter, able to think independently, and budget time among multiple tasks
• Ability to process information quickly and effectively manage multiple tasks
• Equally effective working independently or in team environment of technical experts and ability to work with all levels of staff and management

Pay Range:

The expected pay range for this position in Denver, CO is $104,100 to $130,100. Exact pay will be commensurate with experience and location.

Export Control Notice:

Certain positions at SIA may require access to information and technology which is subject to Export Administration Regulations 15 CFR 730-774, including those of the US Department of Energy (DOE) in 10 CFR 810 and Nuclear Regulatory Commission (NRC) 10 CFR Part 110. Hiring decisions for such positions must comply with these regulations and may result in SIA limiting its consideration of foreign nationals who are citizens of countries that are not on the DOE’s Generally Authorized Destinations List: https://www.ecfr.gov/current/title-10/chapter-III/part-810/appendix-Appendix%20A%20to%20Part%20810.

About Us:

SIA is an engineering consulting firm serving various industries including Nuclear Power, Energy Services, Pipeline Integrity, and Critical Infrastructure. Join a team of internationally recognized experts in a culture based on knowledge, excellence, and respect for one another. Our employees are members of a distinct community of internationally respected professionals committed to quality, engineering innovation and a shared goal of building a safer world.

Why Work at SIA?

SIA offers a competitive salary and performance-based bonus program. Our retirement benefits include a Traditional 401k, Roth 401k, and an employer match. To help employees maintain a work-life balance, SIA also offers various paid time off including vacation, floating holidays, sick time, and parental leave.

Our employees also enjoy a comprehensive benefits program that includes the following:

• Medical, dental, and vision insurance
• Life Insurance and AD&D
• Short-term and long-term disability
• Health Savings Account with employer contribution
• Flexible Spending Account for health care and dependent care
• ID theft protection and credit monitoring

Structural Integrity Associates, Inc. is an equal opportunity employer.

www.structint.com

SIA does not welcome third-party recruiters, employment agencies, headhunters, etc. Please do not reach out to SIA employees requesting a call, sit down, meeting, or email response.

Candidate information may be verified during the hiring process. Inaccurate, deceptive, or mass-generated applications may be disqualified from consideration.

At Structural Integrity Associates (SI Solutions), we solve complex engineering, materials, inspection, and operational challenges across the nuclear industry. Our teams support both the operating fleet and advanced reactor developers through integrated engineering, inspection, chemistry, vibration, digital solutions, aging management, and analytical services.

We are seeking a Senior Commercial Grade Dedication & Software Qualification Engineer responsible for ensuring commercially developed software, digital engineering tools, instrumentation, sensors, data acquisition systems, AI-enabled applications, and related hardware are suitable for use in nuclear safety-related applications through Commercial Grade Dedication (CGD), software qualification, and NQA-1 compliant processes.

As the technical authority, this role partners closely with Engineering, Digital Engineering, Inspection, NDE, Materials, QA, IT, and project teams to implement scalable software quality and commercial dedication programs.

Primary Responsibilities:

Commercial Grade Dedication

• Develop dedication plans consistent with NQA-1, NEI 14-05A, EPRI guidance, NRC guidance, and 10 CFR 50 Appendix B.
• Determine safety significance or function, identify critical characteristics, establish acceptance criteria, and select appropriate acceptance methods.
• Prepare and review CGD technical evaluations, acceptance plans, and final dedication packages, and work with QA to obtain approval.
• Evaluate supplier documentation, objective evidence of quality, procurement requirements, test records, certificates, and documentation gaps.
• Support supplier audits and surveys, documentation receipt, functional testing, engineering independent review, software V&V.
• Support supplier qualification, procurement engineering, corrective action reporting, and QA record development.

Software Quality

• Lead qualification of commercial software including engineering analysis software, inspection software, data analytics tools, cloud-based platforms, and AI-assisted engineering applications.
  • Core activities include software V&V, lifecycle reviews, configuration/version/change management, installation/operational/performance qualification, information assurance and cyber security considerations, and documentation reviews.
  • Establish software intended use, limitations, safety significance, acceptance basis, approved configurations, and qualification records.
  • Review software problem reports, corrective actions, release notes, patches, and version changes for impact on qualified use.

Sensors & Instrumentation

• Support dedication and qualification of pressure, temperature, vibration, strain, flow, and monitoring instrumentation.
  • Activities include critical characteristic identification, environmental qualification review, calibration requirements, functional testing, supplier evaluation, and technical acceptance testing.
  • Define measurement range, accuracy, response time, environmental limits, failure modes, and safety-function performance requirements.
  • Review M&TE, calibration traceability, test procedures, test setup adequacy, test results, and acceptance records.

Required Skills/Qualifications:

• Bachelor’s degree in Engineering, Computer Engineering, Engineering Technology, Physical Sciences, Quality Assurance, or related technical field
• Minimum of 10 years of nuclear industry experience with significant focus on Commercial Grade Dedication (CGD) and NQA-1 implementation
• Demonstrated hands-on experience performing Commercial Grade Dedication
• Strong working knowledge of NQA-1, 10 CFR 50 Appendix B, NEI 14-05A, software V&V, configuration management, supplier qualification, and corrective action programs.
• Experience qualifying commercial software and supporting nuclear engineering organizations.
• Strong technical writing, communication, and organizational skills
• Ability to manage multiple priorities in a fast-paced technical environment
• Ability to travel (~15%) to support client meetings, project execution, audits, surveillance, and surveys

Desired Skills/Qualifications:

• Experience qualifying engineering software: ANSYS, Abaqus, Mathcad, MATLAB, or similar tools.
• Familiarity with 10 CFR Part 21 is desired
• Experience with software lifecycle management, configuration control, or software change evaluation.
• Experience with instrumentation, sensors, PLCs, embedded systems, or data acquisition systems.
• Experience with digital engineering platforms, cloud-based tools, or AI-assisted engineering applications.
• Lead Auditor certification.
• Experience with EPRI software programs, EPRI CGD guidance, or similar nuclear industry guidance.
• Knowledge of IEEE software quality standards.

Why This Role

This role offers the opportunity to support operating nuclear plants and advanced reactor developers while helping shape practical CGD and software approaches for emerging digital technologies.

The expected salary range for this role is $125,800 - $188,100. Exact pay will be commensurate with location, experience, and qualifications.

Candidate information may be verified during the hiring process. Inaccurate, deceptive, or mass-generated applications may be disqualified from consideration.

About Gusto

At Gusto, we’re on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

We’re hiring engineers to join our Risk Engineering team, which works on core platform capabilities, improves our existing systems for extensibility and scalability, and builds the future of Gusto’s Risk system. As a Senior Software Engineer, you’ll lead well-scoped — and sometimes technically or organizationally complex projects end-to-end: driving technical design, partnering with product, design, and data teams to plan and deliver, and writing the code that powers core experiences. You’ll be a domain expert other engineers turn to, and you’ll set the technical example for your team. If you’re interested in building elegant software with far-reaching effects in our modern economy, join us!

About the Team:

In order to enable growth for Gusto and our customers, the Risk org is responsible for defining best-in-class user experiences in order to mitigate financial and reputation risk. This team within our Risk Org is responsible for building the infrastructure for a.) bad actor platform capabilities to prevent fraudsters from abusing Gusto’s platform while improving false positive rate and, b.) the credit underwriting and collections platform to enable faster and greater access to credit while minimizing financial loss.

Here’s what you’ll do day-to-day:

• Design, build, and test infrastructure capabilities that enable the Risk team to efficiently build unique, custom-tailored experiences for existing and emerging Risk products
• Lead well-scoped, sometimes complex projects end-to-end  from technical design through rollout partnering with Engineering, Product Management, Design, Data Science, and Operations
• Help scale one of the largest Ruby/Rails and TypeScript/React applications in the world
• Serve as a domain expert other engineers consult on for Risk platform capabilities
• Set expectations with stakeholders on project timelines, communicating updates and changes as the project progresses
• Mentor engineers earlier in their careers and contribute to a healthy, high-performing team
• Identify and execute on technical debt and quality improvements within your project’s domain
• Participate in an on-call rotation, respond to reliability, security, and performance incidents, and prioritize postmortem action items
• Improve the productivity and happiness of your team with the tools, patterns, and documentation you build

Here’s what we’re looking for:

• 8+ years of Software Develop Experience
• Experience applying AI tools to accelerate development, testing, and documentation  and directing, reviewing, and correcting AI-generated work based on your own understanding of the system
• Experience designing, building, and testing production-quality code and architecture for projects that may be technically or organizationally complex
• Experience owning a project end-to-end from technical design through rollout while coordinating with product, design, and data partners
• Comfortable setting technical direction for a project and making tradeoffs between competing priorities (e.g. customer needs vs. technical needs, short-term vs. long-term)
• An aptitude and interest in bringing clarity and simplicity to complex and ambiguous problems
• Ability to communicate technical complexity and help facilitate informed tradeoffs
• Enthusiasm for a collaborative, test-driven environment
• Able to build maintainable, structured, well-documented code
• Experience building fault-tolerant, reliable software

Our cash compensation amount for this role is targeted at $150,000-$170,000 /yr in Denver & most remote locations, and $185,000-$205,000 /yr for San Francisco, Seattle & New York. Final offer amounts are determined by multiple factors, including candidate experience and expertise, and may vary from the amounts listed above.

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The same office expectations apply to all Symmetry roles, Gusto’s subsidiary, whose physical office is in Scottsdale.

Note: The San Francisco office expectations encompass both the San Francisco and San Jose metro areas.

When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required. This includes non-office days for hybrid employees.

Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.

Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.

Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.

Personal information collected and processed as part of your Gusto application will be subject to Gusto’s Applicant Privacy Notice.

At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy.

Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here!

Signifyd AI Lab (SAIL) builds the ML products behind Signifyd’s fraud and risk decisions. We improve the predictive performance of the models that decide e-commerce transactions at scale, we scale the ML capabilities of our Risk organization, and we push into the new markets and problem spaces that expand the market Signifyd can sell to.

Every space in this department is a mix of experimentation, code, and statistics.  We don’t create walls between the people who have the ideas and the people who build them. The team splits its time between near-term continuous model improvements and longer-horizon innovation bets to improve the company’s capabilities in 2027 and beyond.  These bets surface from the ground up in an environment where we believe those closest to the problems are best placed to understand how to solve them.

We’re hiring a manager to lead one of the teams in this department.

Who You Are

You are a hands-on Player-Coach who thrives in ambiguity—where the roadmap is a set of hypotheses, and the answer to “will this work?” is “we’ll know in three weeks.”

You bring:

Technical Credibility (The “Player”): You stay close enough to the work to have a grounded opinion. You read the code, inspect evaluation pipelines, and can immediately tell the difference between a statistical result that will hold up in production and one that just happened to look good on a single test window.

Leadership & Rigor (The “Coach”): You hold a high bar for evidence without becoming a bottleneck to experimentation. You mentor engineers to own their code quality, and you translate complex ML performance metrics into clear business outcomes for Risk leadership.

Executive Judgment: You know how to balance research bets against quarterly delivery, disagree and commit when decisions are made, and build an environment where well-documented negative experimental results are celebrated as real progress.

What You’ll Do

Lead and grow the team

• Guide career development, manage conflicts, and nurture a positive work environment.
• Develop career plans with team members, provide guidance on skill development, and follow up on their evolution.
• Engage in regular 1:1s, give constant feedback, and create a safe environment for open discussion — including the discussions that follow an experiment that didn’t work.
• Set clear goals, mentor the team, and foster a collaborative environment across a geographically distributed organization.
• Encourage a culture of learning and improvement, provide technical guidance, and support team members in both technical and soft skills.
• Conduct technical and hiring-manager interviews, train the team on interviewing techniques, and help us keep raising the bar as we grow.
• Identify and address gaps in team capabilities and processes to enhance team efficiency and success.

Run a portfolio of experiments, not a delivery queue

• Partner with your tech leads, who own and drive the technical roadmap for their areas. Your job is not to be the sole source of ideas — it is to pressure-test them, sharpen them, make sure the strongest ones get resourced, and make sure the people generating them have the room and the support to do it. When you do bring an idea, you bring it as a peer in the technical conversation.
• Make the calls the roadmap can’t make for you: which hypotheses get compute and headcount, which get another iteration, and which get a clear, documented “no.” A well-run negative result is a real outcome, and we treat it as one — but only if it’s declared, written down, and learned from.
• Manage the trade-off between a committed improvement target you must hit this year and research bets that may not pay off for several quarters. You will re-cut that budget as evidence arrives, and you’ll be able to explain the reasoning to both your team and your stakeholders.
• Bring rigor to how the team decides something worked. Offline results have to predict online behavior; a strong point estimate on a single evaluation window is a starting point, not a conclusion. You will be the person asking whether the improvement survives a rolling evaluation, whether it’s already captured by a change we shipped last month, and what would have to be true for it to be wrong.
• Own delivery on a cadence. Independent experimental workstreams have to converge into a release candidate, get evaluated end to end, and ship — including the hard call to leave a workstream out of a release when it isn’t carrying its weight.

Set direction from data, in partnership with Risk

• Work directly with our Risk partners as your primary stakeholders. Our commitments to them are explicit, measured, and written down; we deliver model performance, and they own thresholds, rules, and how decisions are applied to merchants.
• Operate with a high degree of autonomy. Our direction comes from measured performance against those commitments and from what our own experiments tell us, not from a product backlog handed to the team. You are expected to know what your team should be working on and to defend it, rather than wait to be told.
• Partner with our platform and infrastructure engineering teams on the feature systems, training pipelines, and experimentation tooling your team depends on — and be clear about where the boundary sits between what SAIL should own and what belongs to Engineering.
• Represent your team’s results to a broad audience: engineering leadership, Risk leaders, and the wider company.

What You’ll Need

• Roughly 5+ years in machine learning, data science, or ML-adjacent software engineering, including at least 3 years of people management — guiding career development, addressing conflicts, and building a healthy, high-performing team.
• Genuine depth in at least one of engineering and applied statistics, and real working competence in the other. We are not hiring a manager of analysts, and we are not hiring a manager of a pure software team. Our engineers train production models that decide serious traffic, and we expect their manager to be able to engage with that work at a technical level.
• Demonstrated ability to lead work under real uncertainty: setting a direction when the answer isn’t known yet, changing course when evidence says to, and communicating both without eroding your team’s confidence.
• Excellent written and verbal communication. Much of our decision-making happens in documents, and we expect managers to write well.
• Autonomy in recognizing priorities and evaluating the impact of outcomes, and comfort working without close supervision in a fast-moving environment.
• Commitment to quality. You take pride in work that excels in correctness, reproducibility, and reliability, and you set that standard for your team.

#LI-Remote

Benefits in our US offices:

• Discretionary Time Off Policy (Unlimited!)
• 401K Match
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Health Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Account (FSA)
• Short Term and Long Term Disability Insurance
• Life Insurance
• Company Social Events
• Signifyd Swag

Compensation:

In the United States, each work location is assigned a specific pay zone, which determines the salary range for a given position. The starting base salary for the selected candidate will be based on a variety of factors, including job-related skills, experience, qualifications, geographic location, and current market conditions.

Base Salary Ranges by Pay Zone:

• Tier 1 (NYC/SF Bay Area/Seattle): $220,000 – $245,000 annually
• Tier 2 (DC Metro/Austin/Chicago/Denver/Boston/Los Angeles/San Diego): $210,000 – $235,000 annually
• Tier 3 (US - All Other): $200,000 – $225,000 annually

Equity: This role is eligible for a stock option grant of 5,000 stock options, based on the position level and internal compensation guidelines.

Bonus: This role is eligible for an annual performance bonus of up to 10% of base salary.

Signifyd’s Applicant Privacy Notice

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

As an Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.

The role will be reporting to Engineering Manager,  Data Platform

Responsibilities:

• Support the design and delivery of data ingestion pipeline and infrastructure
• Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
• Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
• Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
• Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
• Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
• Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
• Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements

Qualifications:

• A proven ability to learn new technologies, frameworks, and problem domains
• A focus on solving big picture problems with a focus on product and the end user
• Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
• Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
• Strong familiarity with SQL with the ability to write and optimize queries
• Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
• Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
• Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
• Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
• Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
• (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
• (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
• (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar

The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.

The Data Engineer, Event Data will join a newly formed team responsible for building the systems that ingest, process, and serve the massive volume of client and internal event data that powers Movable Ink’s platform. This is a ground-floor opportunity to shape the architecture of a critical data domain, working with modern streaming technologies, analytical databases, and Elixir and Python to solve problems at billions-event scale. You will help define how event data flows through the platform, making it faster, more reliable, and highly available for teams and clients across the organization.

Responsibilities:

• Design, build, and maintain event streaming pipelines that ingest data from client systems, internal services, and third-party sources into the data platform
• Develop and operate analytical databases and data models optimized for high-volume event data queries and low-latency access
• Write production Elixir and Python services for event processing, transformation, and routing
• Integrate legacy event pipelines with modern streaming infrastructure, designing migration paths that minimize risk and disruption to downstream consumers
• Build and maintain monitoring, alerting, and observability tooling for event data systems, ensuring pipeline health, data freshness, and SLA compliance
• Define and enforce event schemas, data contracts, and quality standards in partnership with producing and consuming teams
• Collaborate with the data platform, product engineering, and analytics teams to understand data needs and deliver reliable event data products
• Participate in system design reviews and help establish best practices for the Events Data team

Qualifications:

• Strong proficiency in Elixir and/or Python as a primary programming language for building application connectors, data services and pipeline components
• Advanced SQL skills for data modeling, query optimization, and analytical workloads
• Hands-on experience with columnar/OLAP (Online Analytical Processing) databases at production scale
• Experience with stream processing frameworks and message brokers such as Apache Flink, Kafka, Pulsar, or Kinesis; Flink experience is a strong plus
• Demonstrated ability to integrate and migrate systems, bridging legacy and modern architectures
• Proven track record of operationalizing data pipelines, including building monitoring, alerting, SLA dashboards, and runbooks for production systems
• Experience designing and operating data systems on AWS; GCP experience is a plus
• Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
• Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
• Experience with retail events data such as clickstream, purchase events, or product interaction data is a plus

Experience with Databricks, Flink and message brokers such as Kafka, Pulsar, or Kinesis is a plus

The base pay range for this position is $130k CAD - $165k CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.

Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.

We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.

The Python Software Foundation (PSF) is hiring a contract Sustainability Engineer, PyPI reporting to the PSF’s Director of Engineering. The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. In support of our mission, the PSF manages the infrastructure that provides resources and downloads on python.org, documentation on docs.python.org, packages on pypi.org, and more.

Overview

This role will be focused on building features in Warehouse, PyPI’s codebase. The goal is straightforward: make PyPI financially sustainable so it doesn’t depend entirely on donations and sponsorships. We launched PyPI organization accounts in 2025 as our first revenue stream, so there’s already some groundwork laid.

Most of your time goes to shipping features that help sustain PyPI and the PSF. You’ll write Python, work with the packaging ecosystem’s standards process when new features need upstream changes, and deal with the unglamorous parts: billing integrations, access control edge cases, storage and CDN costs.

The tricky part isn’t technical. It’s figuring out what PyPI can offer to free users as well as organizations. You’ll be part of those decisions, which means understanding what commercial tools offer, what enterprises actually need, and how to generate revenue while keeping the PSF’s mission first. PyPI is free infrastructure that millions of people depend on. We have an opportunity to make it more powerful for organizations, which will help sustain the foundation, as well as free users.

Core Responsibilities

• Build and ship features in Warehouse, PyPI’s codebase
• Billing integrations, access control, storage and CDN work
• Write Python, review PRs, ship user-facing changes
• Coordinate with the Infrastructure Engineer on deployment, scaling, and operational concerns
• Collaborate with PSF and PyPI security engineers on security-related features and concerns
• Work closely with the PyPI Support Specialist to address PyPI Organizations, user-reported security concerns and escalate issues appropriately
• Interface with PyPI stakeholders about user and community needs
• Occasional on-call responsibilities, shared with the Engineering team as it relates to PyPI

Product Work

• Help decide what PyPI offers to free users and organizations
• Research what commercial offerings provide and where PyPI fits
• Talk to enterprise users and translate their needs into features worth building
• Balance revenue goals with PyPI’s mission as free infrastructure

Standards & Ecosystem

• Work with the packaging ecosystem’s standards process when features need upstream changes
• Coordinate with Packaging Council and other packaging stakeholders

Qualifications

Solid Python experience, comfort with web frameworks, and enough frontend knowledge to ship user-facing features end-to-end. Familiarity with Python packaging and infrastructure concerns like object storage and CDN architecture. Product instincts help since you’ll talk to enterprise users and translate their problems into features worth building. Experience working with open source communities is a plus.

Required: Proficiency with Python web frameworks, base understanding of HTML/CSS/JavaScript, software testing.

Desired: Proficiency with PostgreSQL, proficiency in HTML/CSS/JavaScript, and the Pyramid web framework, Python 3.14+, Pytest, object storage

Details

• Location: Global remote, US-based candidates strongly preferred; regular collaboration with US timezones required. Exceptional international candidates may be considered under a contractor agreement.
• Compensation: $75-$180K for US employees (based on experience), or a comparable contractor rate for international candidates. US employees are eligible for healthcare and other benefits; contractor engagements do not include benefits.
• Type: Fixed-term (Full-time, 1 year), with possibility of renewal

The Python Software Foundation is a US 501©(3) non-profit corporation that holds the intellectual property rights behind the Python programming language. We also run the PyCon US conference annually, support other Python conferences/workshops around the world, and fund Python-related development with our grants program. To see more info about the PSF, check out our Annual Impact Report and public records.

We believe that the future of open source must include everyone. We welcome all job-seekers regardless of race, color, ethnicity, religion, age, sexual orientation, gender identity or expression, national origin, physical appearance, body size, socio-economic, veteran or disability status. Python is a global community and the PSF aims to support a safe environment for all. More information can be found on our Code of Conduct page.