The Reddit Pro team’s mission is to empower brands, publishers, organizations and professionals to create engaging content for our communities while growing their presence on Reddit through Reddit Pro. Reddit Pro is an ongoing initiative that offers advanced tooling for businesses that unlocks the power of Reddit’s 100k active communities & conversations – where opinions are formed and decisions are made. Longer term, businesses will also be able to build on this deep relationship with their Reddit communities by leveraging complementary monetized solutions from Reddit.

This is a high impact role where you will be involved in technical & product strategy and have a chance to get in on the ground floor of a new product space. 

What You’ll Do:

• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
• Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor engineers on the team to grow their technical expertise.
• Contribute to strategic planning and decision-making processes for backend development.
• Move fast while balancing quality. We can’t afford extensive processes, and we also can’t afford show-stopping bugs. We need someone who can balance speed with quality while quickly building brand-new products.

Who You Might Be:

• BS degree in Computer Science, a similar technical field of study or equivalent practical experience
• 3+ years of industry experience in large-scale distributed systems. 
• 5+ years of hands-on, professional software development experience in one or more general purpose programming languages (Go, Python, Ruby, Java, C++)
• Experienced with GraphQL, REST, HTTP, Thrift basics, and the ability to design and implement maintainable APIs
• Experienced with distributed caching layers, and distributed large scale data storage systems like Cassandra.
• A track record of developing and improving highly scalable and reliable serving systems
• A track record of leading sized projects that require cross-team and cross-functional collaborations
• Strong organizational skills, the ability to prioritize tasks and to deliver projects on schedule
• Entrepreneurial spirit. You are self-directed, innovative, and biased towards action in fast-paced environments. You love to build new things and thrive in ambiguity and even failure
• Excellent communication skills. You partner effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Developer Platform team is building the future of Reddit: a future where third-party developers, moderators and everyday redditors can invent and ship brand-new apps, games and tools that create entirely new ways for communities to play, connect and get things done at reddit. We power everything from interactive custom posts and daily games to mod tooling and data products, giving builds the primitives they need to create entirely new kinds of  experiences on Reddit. 

Within Developer Platform, our Growth team focuses on helping redditors discover the right apps and games at the right time through ranking, notifications, and cross‑surface entry points, directly moving the needle on engagement and DAU for Dev Platform experiences. You’ll work end‑to‑end with a highly collaborative, cross‑functional group of engineers, PMs, designers, and data scientists who value impact, personal growth, openness, and kindness, and who ship quickly while holding a high bar for reliability and performance across Reddit’s web, mobile, and backend stack.

How You'll Have Impact

We are looking for a Staff Machine Learning Engineer to build the ranking and personalization systems that connect redditors with their next favorite game or app on Reddit. You will work closely with Product, Backend, Data Science, and Core Ranking/ML Platform teams to design and ship best-in-class ranking, retrieval, and experimentation systems that power discovery and re-engagement for Dev Platform experiences across feeds, surfaces, and notifications.

You will own problems end-to-end—from framing objectives and defining signals, to training and deploying models, to designing experiments and reading results—not just tuning existing knobs on mature systems. You’ll help define the ranking strategy for Developer Platform, stand up new ML models and feedback loops where none exist today, and turn noisy behavioral data into clear wins for users, creators, and developers.

This is a high-impact, 0→1 role where your work will directly shape how interactive apps and games show up on one of the largest sites in the world. You’ll set technical direction for Dev Platform ranking, raise the bar on relevance and system reliability, and mentor other engineers as we scale a team of builders who value impact, personal growth, openness, and kindness.

Languages: Go, Python, C++ or any object oriented programming language

Libraries: Baseplate, GraphQL

Databases: Redis, Postgres, Memcached 

Tools: Kubernetes, AWS

Tools: Kubernetes, Docker, AWS, GCP

What You’ll Do

• Design and ship next-generation ranking and personalization models that power discovery of Dev Platform apps and games across Reddit surfaces.
• Partner with ML, DS, and product to define signals, APIs, and feedback loops for building, deploying, and iterating on ranking models.
• Explore and productionize new retrieval, ranking, and experimentation approaches that unlock new Dev Platform experiences.
• Champion model quality, reproducibility, and experimentation best practices — including offline evaluation, A/B testing, and monitoring for model health and degradation
• Mentor engineers and lead technical discussions, shaping the long-term ranking and personalization modeling strategy for Dev Platform.

Who You Might Be

• 8+ years of experience building and deploying ML models in production, particularly in ranking or personalization modeling, large-scale representation learning, or recommender systems.
• Proven track record working on cross-functional product teams (PM, Design, DS, Eng) where you owned end-user outcomes, not just models or infra, and shipped features that moved core product metrics.
• Strong domain knowledge in modern ranking and personalization techniques: user/item embeddings, multi-task learning, sequential modeling, or similar approaches applied at scale.
• Experience designing and implementing performant, stable, and efficient ML or ranking systems (recommendation, ads, search, feed, or similar high-throughput decision systems).
• Strong organizational skills with the ability to prioritize, sequence, and de-risk work, keeping complex projects on schedule with a high attention to detail.
• BS in Computer Science or a related technical field, or equivalent practical experience.
• Comfortable with software engineering best practices: testing, code reviews, technical design docs, and clear documentation for other teams that depend on your systems.
• Entrepreneurial mindset: you are self-directed, comfortable in ambiguity, and biased toward action in fast-paced environments. You like 0→1 building, iteration, and learning from experiments and failures.
• Excellent communication skills: you collaborate effectively in a remote, cross-functional team, and can explain complex ML and ranking concepts to both technical and non-technical stakeholders.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

#LI-remote

The Home Experience team is responsible for one of the highest traffic pages on the platform: the Home feed on the Reddit apps and website. Home is both a destination and entrypoint for almost all Reddit journeys, and we know a smooth, intuitive, and delightful experience is critical to Reddit’s success and appeal. You’ll be working with the immense scale of hundreds of millions of users to help them explore Reddit and provide them with excellent feeds.

This role can be remote within the United States, Canada, or Europe, or can be a hybrid model if near an office. Offices are located in San Francisco, Los Angeles, Chicago, New York City, Toronto, London, Amsterdam, Madrid and Berlin. 

What You’ll Do:

• Be the technical lead for a high-caliber, inclusive team of engineers across the organization.
• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to design and build novel products and features that our users will love.
• Work alongside a team of thoughtful, fast-moving, and motivated engineers. Drive step-function improvements in developer workflows, implement best practices, and mentor engineers across the organization..
• Participate in the full development cycle: design, development, test, experimentation, analysis, and launch. You’ll be writing and reviewing code and design docs, giving feedback on product specs and mocks, and ensuring successful delivery of key projects.
• You will be a main driver in the planning, development, and implementation across Reddit’s Android architecture in conjunction with numerous partner teams, identifying and delivering on major opportunities.
• Enable a culture of metrics led execution, with a focus on operational excellence and system observability.
• Partner cross-functionally and with senior leadership on our strategic roadmap, driving engineering and product bets that will bring Home to the next level.

Who You Might Be:

• 8+ years of experience as a software engineer developing user-facing applications
• Fluency working with product metrics, designing and analyzing experiments with exposure to tools like BigQuery, HEX, Firebase, etc.
• Software development experience in Kotlin for Android, familiarity with GraphQL.
• Experience leveraging GenAI tools to increase software engineering productivity.
• Experience working with ML engineering teams and integrating ML solutions is a plus.
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule for the team.
• BS degree in Computer Science, similar technical field of study, or equivalent practical experience.
• Strong focus on user experience and usability. You are an undying advocate for the user, and you have a deep intuition for how people think and how they interact with software. Experience with social is a huge plus.
• Entrepreneurial spirit. You must be self-directed, innovative, and biased towards action. You live to build new things and thrive in ambiguity.
• Excellent communication skills. You must be able to collaborate with teams in a fully remote environment, and discuss complex topics with technical and non-technical audiences.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

The Contributions team is responsible for two of the most important actions on the platform: Posting and Commenting. We know that conversations are the lifeblood of Reddit, so we strive to ensure the content and the surrounding conversation is simple, expressive, intelligent, and modern. This is a high impact role where you will drive related technical & product strategy, operations, architecture, and execution for one of the largest sites in the world.

This role can be 100% remote within the United States or Canada. If you are located near an office, you’re welcome to work a hybrid schedule as well! 

What You’ll Do:

• Work cross-functionally, collaborate and partner with product, design, and other engineering counterparts to execute on product and business strategy and build novel products and features that our users will love.
• Contribute to the full development cycle: technical design, development, test, experimentation, analysis, and launch. You’ll be reviewing code and design docs, giving feedback on product specs and mocks.
• Participate with a team of thoughtful, fast-moving, and motivated engineers. Contribute to standards that improve developer workflows, recommend best practices, and help mentor engineers on the team to grow their technical expertise.
• Continuously learn and improve your technical and non-technical abilities.

Minimum Candidate Qualifications for this role:

• Minimum of 3+ years of post-internship, full-time, hands-on, professional software development experience developing user-facing iOS mobile native applications at scale, using Swift.
• Familiarity with software engineering best practices such as unit/integration/end-to-end testing, design documents, CI/CD, A/B testing, code reviews, and documentation
• Strong organizational skills, the ability to prioritize tasks and keep projects on schedule.
• Excellent communication skills. You collaborate effectively with teams in a fully remote environment and discuss complex topics with technical and non-technical audiences.
• BS degree in Computer Science, a similar technical field of study or equivalent practical, professional, hands-on experience.
• You love to build new things and thrive in ambiguity and even failure. You care about innovation. 
• Software development experience in one or more general-purpose programming languages; Swift (expertise required), Java, Python, Go, Rust, C++.
• Additional knowledge around GraphQL, REST, HTTP basics, and the ability to design maintainable APIs is a plus.

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Your Impact

Today, public safety officers spend up to 2/3 of their time on the job filling out paperwork (sometimes with paper, sometimes with floppy disks). Not only is this tedious for officers, but the never-ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities. Axon Records cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities.

On the Axon Records Discovery Squad, we’re building a high-performance, scalable search and insights platform to help law enforcement officers find accurate, relevant information for all of the questions they have on the job.

Imagine the year 2030. Advanced technology has automated more and more routine tasks to put officers back in the community, dramatically improving the quality and safety of our lives. Public safety officers have everything available at their fingertips- empowering them to seamlessly connect the dots and get the answers they need, when they need them, to most effectively protect life.

As a Senior Engineer on the Discovery Squad, you’ll work closely with software engineers, product managers and designers to ensure the Records data is easy for users to locate and analyze. You’ll work on major technical projects with large data volumes, lead the implementation of new features, and help shape our team culture and engineering processes.

Join us to work with a passionate, mission-driven group of folks who want to positively impact the lives of first responders and those that they serve.

What You’ll Do

Location: This role is based out of our Seattle or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Lead engineering architecture design reviews
• Set a high technical bar for the team through code and architecture design reviews
• Enjoys mentoring and growing engineers
• Working across teams with Product, Design, and Engineering to create integrated solutions that delight our customers
• Improve our Engineering process, including long-term thinking, sprint planning and stand-ups
• Building services that adhere to our high bar on availability and latency in this mission-critical space
• Working with the latest open source technologies

What You Bring

• Bachelor's Degree in Computer Science, Engineering, or related field
• 10+ years of professional software development experience
• Experience designing and delivering highly-available, scalable cloud-based systems
• Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar
• Experience working with ElasticSearch or other search engine technologies
• Experience with realtime streaming event log or messaging technologies, such as Kafka or ActiveMQ
• Experience working with SQL or NoSQL data stores
• Experience with Golang, GraphQL, and TypeScript programming is a plus

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 141,000 in the lowest geographic market and USD 225,600 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

Your Impact

Today, public safety officers spend up to 2/3 of their time on the job filling out paperwork (sometimes with paper, sometimes with floppy disks). Not only is this tedious for officers, but the never-ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities. Axon Records cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities.

On the Axon Records Discovery Squad, we’re building a high-performance, scalable search and insights platform to help law enforcement officers find accurate, relevant information for all of the questions they have on the job.

Imagine the year 2030. Advanced technology has automated more and more routine tasks to put officers back in the community, dramatically improving the quality and safety of our lives. Public safety officers have everything available at their fingertips- empowering them to seamlessly connect the dots and get the answers they need, when they need them, to most effectively protect life.

As a Senior Engineer on the Discovery Squad, you’ll work closely with software engineers, product managers and designers to ensure the Records data is easy for users to locate and analyze. You’ll work on major technical projects with large data volumes, lead the implementation of new features, and help shape our team culture and engineering processes.

Join us to work with a passionate, mission-driven group of folks who want to positively impact the lives of first responders and those that they serve.

What You’ll Do

Location: This role is based out of our Seattle or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Lead engineering architecture design reviews
• Set a high technical bar for the team through code and architecture design reviews
• Enjoys mentoring and growing engineers
• Working across teams with Product, Design, and Engineering to create integrated solutions that delight our customers
• Improve our Engineering process, including long-term thinking, sprint planning and stand-ups
• Building services that adhere to our high bar on availability and latency in this mission-critical space
• Working with the latest open source technologies

What You Bring

• Bachelor's Degree in Computer Science, Engineering, or related field
• 10+ years of professional software development experience
• Experience designing and delivering highly-available, scalable cloud-based systems
• Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar
• Experience working with ElasticSearch or other search engine technologies
• Experience with realtime streaming event log or messaging technologies, such as Kafka or ActiveMQ
• Experience working with SQL or NoSQL data stores
• Experience with Golang, GraphQL, and TypeScript programming is a plus

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 141,000 in the lowest geographic market and USD 225,600 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

Your Impact

Today, public safety officers spend up to 2/3 of their time on the job filling out paperwork (sometimes with paper, sometimes with floppy disks). Not only is this tedious for officers, but the never-ending pile of paperwork reduces the amount of time they can spend out in the field, protecting their communities. Axon Records cuts down on paperwork so that officers can spend more time prioritizing the safety of our communities.

On the Axon Records Discovery Squad, we’re building a high-performance, scalable search and insights platform to help law enforcement officers find accurate, relevant information for all of the questions they have on the job.

Imagine the year 2030. Advanced technology has automated more and more routine tasks to put officers back in the community, dramatically improving the quality and safety of our lives. Public safety officers have everything available at their fingertips- empowering them to seamlessly connect the dots and get the answers they need, when they need them, to most effectively protect life.

As a Senior Engineer on the Discovery Squad, you’ll work closely with software engineers, product managers and designers to ensure the Records data is easy for users to locate and analyze. You’ll work on major technical projects with large data volumes, lead the implementation of new features, and help shape our team culture and engineering processes.

Join us to work with a passionate, mission-driven group of folks who want to positively impact the lives of first responders and those that they serve.

What You’ll Do

Location: This role is based out of our Seattle or Boston office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

• Lead engineering architecture design reviews
• Set a high technical bar for the team through code and architecture design reviews
• Enjoys mentoring and growing engineers
• Working across teams with Product, Design, and Engineering to create integrated solutions that delight our customers
• Improve our Engineering process, including long-term thinking, sprint planning and stand-ups
• Building services that adhere to our high bar on availability and latency in this mission-critical space
• Working with the latest open source technologies

What You Bring

• Bachelor's Degree in Computer Science, Engineering, or related field
• 10+ years of professional software development experience
• Experience designing and delivering highly-available, scalable cloud-based systems
• Backend service experience in multiple, managed languages such as Java, Scala, Go, C#, or similar
• Experience working with ElasticSearch or other search engine technologies
• Experience with realtime streaming event log or messaging technologies, such as Kafka or ActiveMQ
• Experience working with SQL or NoSQL data stores
• Experience with Golang, GraphQL, and TypeScript programming is a plus

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

The Pay: Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The starting base pay for this role is between USD 141,000 in the lowest geographic market and USD 225,600 in the highest geographic market. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit www.axon.com/careers/benefits.

The Role:

We are looking for a skilled Lead Full-Stack Engineer (Tech Lead) to join our team. This role is both hands-on and leadership-oriented, requiring the ability to lead technical conversations, contribute to architectural decisions, and guide engineering efforts across the full stack. The ideal candidate will own end-to-end feature delivery, actively contribute to development, and play a key role in shaping technical direction by evaluating existing systems and driving architectural decisions that support future scalability. You will work closely with client stakeholders, product, and engineering teams, participating in ongoing discussions, providing technical insight, and ensuring alignment between business needs and technical execution.

Key Responsibilities:

• Own end-to-end feature delivery across the full stack (React, Node.js, database layer)
• Lead technical discussions with stakeholders and contribute to client-facing conversations around system design and implementation
• Design and drive architectural decisions including API design, data modeling, service boundaries, and caching strategies
• Evaluate existing systems and contribute to defining scalable, forward-looking solutions
• Set and maintain a high bar for code quality through reviews, tooling, and best practices
• Profile performance and debug issues across the stack, from browser to backend systems
• Design and maintain scalable search infrastructure, with a focus on Algolia
• Provide guidance to engineers and support coordination of development efforts across the team
• Participate in incident response, post-mortems, and long-term reliability improvements
• Collaborate cross-functionally with product, design, and leadership teams to deliver high-impact features

Requirements:

• 7+ years of experience in full-stack software engineering
• Proven ability to contribute to architectural decisions and system design in complex environments
• Hands-on experience leveraging AI tools (e.g., LLM-based assistants) to improve development workflows, including code generation, debugging, testing, and overall engineering efficiency
• Strong expertise in JavaScript and TypeScript
• Advanced experience with React (hooks, modern patterns, performance optimization)
• Strong backend development experience with Node.js
• Experience designing REST and/or GraphQL APIs
• Strong knowledge of relational databases (PostgreSQL preferred), including query optimization and indexing
• Experience with caching systems such as Redis
• Familiarity with authentication patterns (JWT, OAuth, session management)
• Experience with CI/CD pipelines and modern cloud environments (AWS, GCP, or Azure)
• Strong understanding of observability, logging, and system reliability
• Excellent communication skills with the ability to participate in technical discussions with both engineering teams and stakeholders

Nice to have:

• Strong hands-on experience with Algolia (highly preferred)
• Experience with Next.js, React Server Components, or micro-frontend architectures
• Experience with message queues (Kafka, RabbitMQ, SQS)
• Familiarity with serverless or edge runtimes
• Experience with Docker and containerized environments
• Exposure to Kubernetes or infrastructure-as-code tools (Terraform, Pulumi)
• Experience with domain-driven design or clean architecture principles
• Experience mentoring engineers or contributing to open-source projects

Location:

• Beverly Hills, CA (On-site 3 days per week)

Employment type:

• W2

What we offer:

• Unlimited PTO
• Health + Dental + Vision + Life Insurance
• Long Term disability + 401k Match
• Professional Development Opportunities

Expected Compensation

• 150k - 170k annual salary + benefits

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Role: Engineering Manager, Engineering Productivity & Cloud Infrastructure

Location: Hayes Valley, San Francisco, CA

Basic Job Details

• Job Type: Full Time
• Work Model: Hybrid
• Remote Days: Monday & Friday
• Office Days: Tuesday, Wednesday, Thursday

Job Description

We're looking for an Engineering Manager to lead our Engineering Productivity (EngProd) & Cloud Infrastructure team — the platform team whose customers are every other engineer at Baton, and the team responsible for our cloud infrastructure, security, and networking partnership with Ryder. You'll own the people, roadmap, and execution of EngProd as we scale from a small, scrappy infrastructure pod into the durable engineering-leverage function that powers a 50+ person engineering organization and Ryder's broader technology investments.

This role is equal parts people leader, technical strategist, and cross-functional operator. You'll coach and grow a tight-knit team of engineers, define and own a 12–18 month roadmap that compounds across every other pod (DaPla, ML, ProPla, Radius, CVIZ), and be the voice of Engineering productivity in baton engineering and cross-org planning. You'll inherit a real engineering function with momentum — and the opportunity to define what "world-class engineering productivity" looks like at the intersection of a fast-moving startup and a Fortune 500 company.

This is ideal for an experienced engineering leader who has come up through infrastructure / platform / devex / SRE, who genuinely loves building teams, and who is energized by making other engineers dramatically more effective.

Responsibilities

• People Leadership & Team Development:
  • Lead, mentor, and grow a team of high performing engineers.
  • Run performance reviews, calibration, career-path conversations, and PD chats. Set and hold a high bar.
  • Own hiring for the pod — partner with recruiting on sourcing, calibration, and closing top devops / platform / infra talent.
  • Build a culture of ownership, customer-empathy (engineering is your customer), and continuous improvement.
• Roadmap & Strategy:
  • Own the EngProd 12–18 month roadmap. Translate company-level OKRs into a prioritized backlog of investments.
  • Build a structured intake and prioritization process across pods, treating other engineering teams as customers with real needs and real tradeoffs.
  • Drive Engineering-as-a-Product thinking — every initiative should have a clear customer (another pod), a measurable outcome, and a leverage story that compounds across multiple pods.
  • Champion paved-road tooling and self-service over bespoke, one-off solutions — make the right way the easy way.
  • Champion measurement: stand up the Engineering Excellence KPIs, dashboards, and metrics that let Baton manage what it cares about (CI duration, deploy frequency, MTTR, cost per service, etc.).
• Execution & Cross-Org Communication:
  • Run sprint planning, project planning, and milestone tracking. Maintain a healthy roadmap and risk register.
  • Represent EngProd in EngStaff and cross-pod syncs. Communicate status, risks, and tradeoffs to executive stakeholders with clarity and confidence.
  • Partner with TPMs and peer engineering managers (DaPla, ML, ProPla, Radius, CVIZ) to negotiate scope, unblock dependencies, and deliver value.
• Technical Leadership:
  • Drive and review engineering specs. Weigh in on architectural decisions for CI/CD, testing infrastructure, observability, cloud infra, IaC, secrets/IAM, and developer tooling.
  • Own Ryder relationships for cloud infrastructure, security, and networking — navigating enterprise constraints while preserving startup velocity.
  • Partner with the Technical Support organization on issues and escalations
  • Stay technically credible enough to lead — without becoming the bottleneck. Empower senior engineers to own their domains.
  • Partner with our other Platform pods to ensure EngProd investments compound across the broader Baton platform.

Minimum Qualifications

• 8+ years of engineering experience, including 4+ years directly managing software / infra / devops / SRE engineers.
• Track record managing teams of 2–8 direct reports, including hiring, growing, and developing technical talent.
• Has owned a multi-quarter technical roadmap for an infrastructure, platform, devex, or SRE function in a high-growth environment.
• Strong technical foundation: cloud infrastructure (AWS), Kubernetes, CI/CD, observability tooling (Grafana / Prometheus / Sentry / DataDog), Python, and Infrastructure-as-Code (Pulumi / Terraform), Enterprise security experience.
• Demonstrated ability to lead a team that delivers reliably across quarters, with predictable velocity and clear stakeholder communication.
• Comfortable communicating technical strategy and tradeoffs to executive stakeholders.
• Experience operating in B2B SaaS or enterprise environments where reliability, scale, and customer SLAs matter.

Preferred Qualifications

• Background scaling EngProd / Developer Experience / Platform / SRE functions from small-but-scrappy to a durable, high leverage engineering org.
• Experience working inside a startup-within-an-enterprise (e.g. an acquired startup operating inside a Fortune 500).
• Experience in logistics, supply chain, or freight technology.
• Background in test infrastructure, deployment automation, or production reliability initiatives that measurably improved org-wide engineering velocity.
• Familiarity with Baton's tech stack: Python, FastAPI, GraphQL, Flink, Materialize, Debezium, Kafka, Pulumi, GitHub Actions.

The Perks

• Competitive Base Salary + Cash Bonus Structure
• Annual Company Bonus + Long Term Incentive Plan
• 401k with Matching
• Hybrid Work Schedule
• Hyper-Stable, publicly traded Enterprise
• Medical, Dental, and Vision Health Coverage
• Employee Stock Purchase Program (15% discount to market value)
• Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco, CA

Compensation Range: The annual base salary range for this position is $250,000 - $300,000. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus.

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Full-Stack Software Engineer - Factory Operating System

Compensation: Competitive base + meaningful equity
Location: El Segundo, CA
Work Policy: On-site
Work Authorization: U.S. Person required due to ITAR
Team: Second software engineering hire

Who are we?

Rangeview is building the foundry system that will reindustrialize America.

We design and operate advanced investment casting systems for aerospace, defense, and energy applications by combining automation, software-driven process control, materials science, and hands-on foundry execution.

We are reinventing how critical metal parts are made by modernizing legacy manufacturing environments and building a factory that can scale with safety, precision, and speed.

What’s in it for you?

This is a rare chance to be the second software engineer on a team building the software layer that runs a real factory.

You will help build Rangeview’s Factory Operating System: the internal platform that connects production workflows, part tracking, quality traceability, telemetry, equipment integrations, and real-time factory operations.

This is not a narrow web app role; you will work across frontend, backend, infrastructure, data modeling, observability, telemetry, and occasionally embedded or hardware-adjacent systems. Your work will directly affect how aerospace hardware moves through the factory floor.

You’ll have high ownership, low bureaucracy, and the chance to shape systems that matter in the physical world.

What will you do?

• Architect, build, and maintain Rangeview's Factory Operating System across the full stack: frontend (TypeScript, React, MUI) and backend (ASP.NET, Entity Framework, Hot Chocolate, PostgreSQL)
• Build systems for part tracking, quality traceability, telemetry, and real-time factory operations
• Design performant GraphQL APIs and relational database schemas for complex manufacturing workflows
• Instrument manufacturing systems with logging, metrics, tracing, alerting, and observability
• Occasionally write embedded software and attach microcontrollers to integrate factory-floor equipment with the Factory Operating System, working closely with mechanical and mechatronics engineers
• Build quick, high-leverage internal tools that remove friction for operators, engineers, and the rest of the team
• Develop scheduling and optimization systems for production workflows (OR-Tools)

What will you need?

• Strong full-stack software engineering fundamentals
• Experience with a strongly typed backend language (C#, Java, Go, Rust, or similar)
• Experience with React + TypeScript
• Fluent use of AI coding tools as part of your daily workflow, paired with the judgment to own the engineering decisions behind what they produce
• Comfort moving across frontend, backend, infrastructure, and hardware-adjacent work
• High ownership and autonomy once a module or problem is defined
• Strong data modeling judgment for messy, real-world operational systems
• A reliability-first mindset where correctness matters from the beginning
• Strong engineering judgment over narrow tool familiarity
• Interest in building systems that connect software to real-world operations

Multipliers

• MES or ERP software experience
• Manufacturing, aerospace, industrial automation, or regulated domain experience
• Familiarity with CQRS or Domain-Driven Design
• Experience with time-series databases, real-time data processing, or production observability
• Experience with embedded systems, industrial protocols, IoT devices, or telemetry systems
• Experience standing up and operating on-prem infrastructure

Compliance

Rangeview is a DDTC-registered, ITAR-compliant business. To conform to U.S. Government export regulations, applicants must be a U.S. citizen or national, U.S. lawful permanent resident, refugee under 8 U.S.C. § 1157, or asylee under 8 U.S.C. § 1158.

Rangeview is an Equal Opportunity Employer.

WHAT IS BOX? 

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

WHY BOX NEEDS YOU

You will work on problems that matter to the company, with executive air cover to actually change how things run. You will get to put modern AI into production behind real workflows, not demos. And you will do it inside an IT organization that treats engineering excellence, security, and business outcomes as the same job — not competing ones.

We are looking for an AI Business Automation Engineer to embed directly with functional Subject Matter Experts across Box — Finance, Legal, People, GTM, Customer Success, and beyond — to identify business processes ripe for reinvention and rebuild them with an AI-first mindset. You will sit shoulder-to-shoulder with the people doing the work, deeply understand their workflows, and then design, prototype, and deliver the technical solutions that transform how those teams operate.

This role lives inside IT and carries the full weight of our infrastructure, data, integration, automation, and information security standards. The work spans the stack: one week you may be wiring an AI agent into a Finance close process, the next you may be redesigning a Legal intake workflow as an agentic system, and the next standing up a secure data pipeline so a GTM team can automate customer intelligence workflows. If you are energized by the intersection of business problems, modern AI, and pragmatic engineering — and you want your code in production, not in slideware — this is the role.

WHAT YOU'LL DO 

• Partner directly with functional SMEs to map current-state processes, identify friction and waste, and co-design AI-first reinventions that materially change how the work gets done.

• Translate business requirements into clear technical specifications, architecture diagrams, and delivery plans, then build the agentic solution end-to-end alongside teammates and senior engineers.

• Prototype rapidly using Python and modern AI tooling (LLM APIs, RAG patterns, agent frameworks, workflow orchestration) to validate ideas before scaling them into production.

• Build and maintain integrations between Box’s core SaaS systems (Box, Workday, Salesforce, NetSuite, Atlassian, BigQuery, etc.) using APIs, iPaaS platforms, and custom services.

• Design and implement automations that retire manual work, replace brittle scripts, and unlock capacity for the business.

• Own the data plumbing — pipelines, models, access patterns — that makes AI solutions trustworthy and operable.

• Apply security, privacy, and compliance controls from day one: data classification, least-privilege access, secrets management, auditability, and responsible AI guardrails.

• Operate what you build: monitoring, runbooks, incident response, and continuous improvement based on real usage.

• Evangelize what’s possible. Bring SMEs along the journey so they become co-owners of the AI-first future, not passive recipients of it.

WHO YOU ARE 

We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box.

• 2-3+ years of hands-on engineering experience in IT or software engineering roles, with a track record of shipping production code that real users depend on.

• Deep experience with agentic coding platforms like Claude Code, Cursor, and Codex, as well as experience building custom agents that leverage MCP servers and CLIs

• Working proficiency in Python (or equivalent in Go, TypeScript, Java) — you write clean, tested, maintainable code and are comfortable contributing to a real codebase, not just notebooks.

• Demonstrated ability to translate business problems into technical specs and delivered software. You can write a clear design doc, build the thing, and explain it to a non-technical partner.

• Working knowledge across several of the following, with depth in at least one: cloud infrastructure (GCP preferred), data engineering (SQL, warehouses, pipelines), integration patterns (REST, GraphQL, webhooks, event-driven, iPaaS like Workato/SnapLogic), automation tooling, and IAM.

• Familiarity with information security fundamentals — authn/authz, encryption, secrets handling, and safe data practices — and a willingness to learn what it takes to build systems that pass an audit.

• Hands-on experience applying modern AI to real problems: LLM APIs, prompt engineering, retrieval-augmented generation, or building at least one AI-driven workflow, prototype, or agent.

• Experience with agent frameworks (LangGraph, OpenAI Agent SDK, Claude Agent SDK, etc.), MCP, or building tool-using systems at scale.

• Strong product instincts and a bias for shipping. You know when to deliver a thin slice and learn versus when to invest in something more durable.

• Excellent communication skills. You build trust with non-technical partners and write specs, docs, and updates that travel without you in the room.

Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week.Your Recruiter will share more about how we work and company culture during the hiring process.

At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply!

EQUAL OPPORTUNITY

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience.

Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form. Reasonable accommodations may include scheduling adjustments, document dictation and beyond.

Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here. 

For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here.

About FourKites

FourKites is the leading supply chain visibility platform, helping companies transform their logistics operations through real-time tracking, predictive intelligence, and AI-powered automation. As we expand our portfolio with agentic AI capabilities that autonomously optimize supply chain decisions, we're transforming from a visibility platform into an intelligent orchestration system that drives measurable business outcomes for the world's most recognized brands.

Whether it's medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

About the Role

We're seeking an experienced Associate Director of Customer Engineering to lead our technical integration team in delivering complex, enterprise-grade integrations for Fortune 500 customers. You'll manage a team of Integration Consultants who work directly with customers to implement and integrate our AI-powered supply chain visibility platform with existing enterprise systems such as SAP, Oracle, Blue Yonder, Manhattan, and other TMS/WMS/ERP solutions.

This is a customer-facing, hands-on technical leadership position reporting to the Director of Engineering. You'll be a player/coach with the ability to manage a diverse team of onshore and offshore consultants while participating in hands-on technical work to lead by example. You'll work in close partnership with our Professional Services organization to ensure seamless integration delivery across our traditional visibility solutions and emerging agentic AI capabilities.

As we scale our integration capabilities to support increasingly sophisticated AI-powered workflows, autonomous decision-making systems, and real-time data orchestration, you'll play a critical role in building team expertise, establishing best practices, and ensuring integration excellence across our growing customer base.

What you'll be doing:

Integration Delivery Excellence

• Lead successful execution of integration workstreams on implementations for new and existing Fortune 500 customers across Order Visibility, Inventory Visibility, Transportation Management, and AI-powered automation solutions
• Ensure integrations support both traditional visibility features and emerging AI capabilities including agentic workflows, autonomous decision-making, and predictive analytics
• Act as project sponsor on technically complex implementations requiring advanced integration architecture with ERP systems (SAP, Oracle, Blue Yonder, Manhattan), OMS, WMS, TMS, and YMS platforms
• Support team to clear technical roadblocks, acting as point of escalation internally and externally for integration challenges
• Deliver real-time and batch integrations enabling seamless data flow across customer enterprise systems with focus on data quality, reliability, and scalability

Team Leadership & Development

• Directly manage, coach, motivate and mentor a team of onshore and offshore Integration Consultants, providing technology leadership to foster collaboration, productivity, efficiency and agility
• Create clear goals for team members, fostering accountability and ownership for quality of delivered integrations
• Develop team capability in emerging technologies including AI/ML integrations, modern APIs, cloud-native architectures, and event-driven patterns
• Plan, delegate, and track task assignments while managing team resource capacity and utilization across concurrent customer projects
• Participate in hands-on technical work to lead by example, maintain technical credibility, and mentor consultants on complex integration scenarios

Integration Strategy & Best Practices

• Shape and drive integration team growth strategy in alignment with product roadmap, customer needs, and FourKites' AI transformation
• Establish and evolve integration best practices, reusable patterns, and standardized components for common integration scenarios
• Collaborate with and train consultants on internal tool usage, technical roadblock mitigation, and process improvements
• Develop comprehensive documentation and knowledge sharing for internal teams, implementation partners, and customers
• Define and track metrics providing insight into team productivity, velocity, integration quality, and customer satisfaction

Cross-Functional Collaboration

• Partner closely with Professional Services, Product, Engineering, and Customer Success teams to ensure seamless delivery
• Collaborate with Product and Engineering to assess technical impact of product requirement changes and provide integration implementation feedback
• Work with Professional Services leadership to ensure integrated delivery approach, smooth handoffs, and aligned customer expectations
• Provide technical consultation during pre-sales for complex integration scenarios, helping scope and position integration solutions
• Ensure all technical work is properly scoped, identifying risks and partnering internally and externally for project success
• Translate technical integration capabilities into customer business value and contribute to solution positioning

About the Team

The Customer Engineering team is the technical backbone of FourKites' customer implementations, enabling Fortune 500 companies to connect our AI-powered platform with their enterprise systems. Working in close partnership with Professional Services, the team architects and delivers complex integrations spanning ERP, OMS, WMS, and TMS platforms—turning data silos into unified supply chain intelligence. As FourKites evolves toward AI-first solutions with agentic capabilities, this team plays a critical role in ensuring seamless data flow, integration reliability, and technical excellence that powers autonomous decision-making and real-time orchestration.

Who you are:

Experience & Leadership

• 5+ years in technical leadership and people management, preferably in Agile environments
• 8+ years in customer-facing technical consulting or integration engineering
• Proven track record managing diverse teams of onshore and offshore technical consultants
• Experience leading integration delivery for enterprise SaaS implementations with demonstrated success delivering on-time, high-quality integrations

Technical & Integration Expertise

• Bachelor's or Master's degree in Computer Science, Engineering, Math or equivalent
• Deep understanding of leading TMS/WMS/ERP systems: SAP, Oracle, Blue Yonder (JDA), Manhattan, MercuryGate, BluJay
• Strong knowledge of communication protocols: FTP, SFTP, HTTP, HTTPS, AS2
• Expert-level understanding of web service calls: REST APIs, SOAP, GraphQL
• Proficiency with file structures and data formats: XML, EDI (X12, EDIFACT), JSON, flat files, CSV
• Experience with modern integration platforms and middleware (MuleSoft, Dell Boomi, Informatica, or similar preferred)
• Understanding of cloud platforms (AWS, Azure, GCP) and cloud-native integration patterns
• Familiarity with data transformation, mapping, and ETL/ELT processes
• Knowledge of authentication/authorization protocols (OAuth, API keys, certificates)

Supply Chain & Domain Knowledge (Required)

• Experience in logistics, supply chain, or transportation technology required
• Understanding of supply chain data flows: orders, shipments, inventory, tracking events, delivery confirmations
• Familiarity with supply chain visibility, control tower, or real-time tracking solutions
• Knowledge of transportation management, warehouse management, or order management business processes

Strategic & Collaboration Skills

• Ability to define and track metrics for team productivity, velocity, and integration quality
• Strong project management skills with ability to prioritize across multiple concurrent projects and competing demands
• Excellent communication skills with both technical and business stakeholders at enterprise-level clients
• Proven ability to troubleshoot complex technical issues and find creative solutions
• Experience collaborating with Product and Engineering teams on technical requirements and roadmap influence
• Strong critical thinking and problem-solving skills with ability to work in fast-paced, agile environments

Additional qualifications:

• You've led integration teams through technology transformations (API modernization, cloud migration, platform evolution)
• You balance technical depth with team leadership—you can architect solutions and develop people
• You're excited about AI/ML integration challenges and building team capability in emerging technologies
• You understand that great integrations aren't just about data transfer—they enable business outcomes and customer value
• You've built integration best practices and reusable patterns that scale across multiple customers
• You thrive in environments where you partner closely with Professional Services, Product, and Engineering
• You're comfortable being hands-on when needed while also providing strategic direction for the team

Travel Requirement: Up to 25% (customer sites, critical implementations, team locations)

Location: Chicago (preferred) or remote with regular Chicago travel

Compensation

The expected annual base salary range for this role is $140,000 – $170,000. Actual compensation will be determined based on several factors, including but not limited to experience, qualifications, skills, and business needs. In addition to base salary, this position is eligible for bonus and incentive compensation as well as participation in FourKites' employee stock option program.

Benefits

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to generous PTO and standard holidays. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. We're always listening for new ways to support everyone in and out of the office.

Benefits include:

• Medical, Dental & Vision benefits starting on first day of employment
• 401k Retirement savings with employer match
• Bonus and incentive compensation as well as employee stock option program
• Employer paid life insurance and short term disability insurance
• Generous PTO, global recharge days, and volunteer days
• Paid parental leave for all parents
• Family planning and inclusive wellbeing resources
• Technology reimbursement
• Commuter benefits for in-office employees (Chicago)
• Annual Wellness Stipend
• Ongoing learning & development opportunities

About FourKites

FourKites, the leader in AI-driven supply chain transformation for global enterprises and pioneer of real-time visibility, turns supply chain data into automated action. FourKites Intelligent Control Tower® breaks down enterprise silos by creating a real-time digital twin of orders, shipments, inventory and assets. This comprehensive view, combined with AI-powered digital workers, enables companies to prevent disruptions, automate routine tasks and optimize performance across their supply chain. FourKites processes over 3.2 million supply chain events daily — from purchase orders to final delivery — helping 1,600-plus global brands prevent disruptions, make faster decisions and move from reactive tracking to proactive supply chain orchestration. For more information, visit www.fourkites.com.

If you are a California resident, here is our California Applicant Privacy Notice. If you are a European Union resident, here is our EU Applicant Privacy Notice.

FourKites is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you're excited about this role but don't meet every requirement, we encourage you to apply.

We are looking for talented individuals who are motivated by the opportunity to have an outsized impact on not just their company, but the healthcare industry at large.

What you’ll do

• Design, build, and scale software systems to support our rapidly growing product and customer base. This is a generalist role with opportunities to contribute on both the backend and frontend. Depending on the team, this role may focus more heavily on particular parts of the stack with the ability to specialize - let us know what excites you!
• Use AI and LLMs to accelerate your impact and power innovative product features.
• Own projects end-to-end by collaborating closely with the Product, Design, and Client Solutions teams, including scoping, design, implementation, and rollout.
• Work with fellow engineers to raise the bar on our internal Engineering systems and processes, including testing, deployment, observability, and agentic coding.
• Participate in on-call rotations to support production systems.

Qualifications

• B.S. or higher in computer science or a relevant field, or equivalent industry experience
• 3+ years of professional software engineering experience
• Experience with modern programming languages, such as TypeScript, Python, Golang, etc.
• Experience developing software for cloud environments
• Product-engineering mindset: able to balance technical quality with velocity and user value
• Inspired by our mission to improve healthcare through technology
• Self-starter with a strong desire to learn and grow

Bonus Points

• Experience with TypeScript, NodeJS, React, GraphQL, AWS, PostgreSQL, or Terraform
• Experience building software in the health-tech or healthcare space
• Experience at early stage software companies
• Leverages agentic coding tools to accelerate time-to-value
• Built and operated LLM-powered products and systems

Benefits

• 100% paid employee health benefit options (including medical, dental, and vision)
• 401(k) with employer funded match
• Unlimited Vacation
• Commuter Benefits
• Paid parental leave
• Catered lunch on Fridays
• Wellness stipend
• Great Place to Work Certified

The annual salary range for the target level for this role is $130,000 - $160,000 + equity + benefits, including medical, dental, and vision.

About the Team:

Our diverse Product & Engineering team values innovation, collaboration, and the continuous improvement of our platform. We offer a dynamic work environment where employees can grow and thrive while working on cutting-edge technology that shapes the future of AI and search.

At AlphaSense, we believe that diverse experiences and perspectives are critical to our success. We are committed to creating an inclusive workplace where all employees feel valued and empowered to be their authentic selves.

About the Role: 

We are looking for a Staff Software Engineer to join the Expert Research mission that drives all expert call services at AlphaSense. We're a collaborative group of full-stack teams responsible for everything from the internal systems that support 9,000+ monthly expert calls to enhancing how users engage with this content in the AlphaSense frontend. Our tech stack includes Ruby on Rails, TypeScript, Vue.js, and React.

As part of our team, you’ll help streamline workflows for over 250 analysts, integrate third-party data sources, create new content flywheels to expand our world-class expert library, collaborate with our ML teams to embed AI into the product, and contribute to the frontends relied upon by tens of thousands of users every day.

Who You Are:

• 10+ years of software development experience building highly reliable, mission-critical software.
• A strong foundation in computer science fundamentals, such as algorithmic complexity, asynchronicity, and distributed computing.
• Good Knowledge on design and architecture concepts.
• Familiarity with Agile software development processes and software testing.
• Experience in shipping pragmatic and high quality solutions with a sense of urgency
• Track record of technical leadership across teams without formal people management.
• Comfortable operating in ambiguity and driving clarity where none exists.
• Ability and desire to work in an open and team-oriented environment.

What You’ll Do: 

• Build robust, well-designed and effective software that solves complex problems.
• Test, review and deploy code quickly. We deploy over 10 times per day and manage major releases with feature flags rather than coordinated deployments.
• Research, learn and share new techniques for solving complex engineering problems. We’re a highly collaborative team and we push each other to find better solutions every day.
• Write tools and develop practices for the engineering team. From GraphQL-to-Typescript compilers to fully automated deployments, we take the time to invest heavily in our own productivity.
• Own projects from end-to-end. On a given day you might be building a system to measure search engine performance, reworking an integration with a telephony provider, or designing a UI component library.
• Analyze and design solutions to business problems. Companies that throw solutions over the wall to engineers are wasting half their abilities. At AlphaSense, you’ll be fully involved in determining what to do, not just doing it.
• Mentor senior engineers, shape technical culture, and raise expectations for system design and execution.
• Contribute to long-term technical strategy while remaining hands-on with critical implementations.

ABOUT THE ROLE

We are looking for a talented Sr. GenAI Engineer who sits at the intersection of knowledge engineering, agentic AI, and data intelligence. In this role you will design and operate AI agents that traverse, reason over, and enrich large-scale knowledge graphs — then extend that context dynamically using live data sources such as the web, enterprise APIs, and structured databases.

The ideal candidate is deeply comfortable with graph data models, LLM orchestration frameworks, and retrieval-augmented pipelines. Bonus points if you have experience working in trade-craft or intelligence-adjacent environments where provenance, precision, and adversarial robustness are non-negotiable.

KEY RESPONSIBILITIES

Knowledge Graph Engineering

• Design, build and maintain large-scale property graphs and RDF triplestores (Neo4j, Amazon Neptune, Stardog, or equivalent).
• Develop and govern ontologies, taxonomies, and entity-relationship schemas that reflect real-world domain semantics.
• Implement graph ingestion pipelines that extract, transform, and link entities from structured, semi-structured, and unstructured data.
• Optimise graph traversal queries (Cypher, SPARQL, Gremlin) for sub-second response at production scale.
• Train and deploy graph neural networks (GNNs) for node classification, link prediction, and subgraph retrieval - Maintain model retraining workflows triggered by graph drift or coverage degradation.

Agentic AI Systems

• Architect and implement autonomous agents that plan multi-step reasoning chains over knowledge graph data using LLMs (GPT-4o, Claude, Gemini, or open-source equivalents).
• Build graph-aware Retrieval-Augmented Generation (RAG) pipelines that blend structured graph context with unstructured document retrieval.
• Design tool-use and function-calling layers so agents can query live data sources — web search, REST/GraphQL APIs, relational databases — to extend or verify graph knowledge.
• Implement agent memory, reflection, and self-correction loops to improve reliability over multi-hop tasks.

Context Enrichment & Data Fusion

• Integrate web scraping, news feeds, and open-source intelligence (OSINT) sources to keep the knowledge graph current.
• Build entity resolution and deduplication components that merge data from heterogeneous sources into a consistent graph.
• Develop confidence-scoring and provenance-tracking mechanisms so downstream consumers understand the reliability of any piece of context.

MLOps & Production Readiness

• Package agents as scalable microservices; instruments with observability tooling (tracing, latency, token cost).
• Collaborate with platform engineers to deploy workloads on cloud-native infrastructure (AWS / GCP / Azure).
• Maintain evaluation harnesses that measure agent accuracy, hallucination rate, and graph coverage over time.

REQUIRED SKILLS & EXPERIENCE

• 5 + years of professional software engineering with strong Python (or Java / Kotlin) proficiency.
• Hands-on production experience with at least one major graph database — Neo4j, Amazon Neptune, TigerGraph, or comparable.
• Demonstrated knowledge of graph query languages like Cypher, SPARQL, or Gremlin — at production query complexity.
• Direct experience building LLM-powered agents or pipelines using frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or Semantic Kernel.
• Solid understanding of RAG architectures: chunking strategies, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, and re-ranking.
• Familiarity with prompt engineering, few-shot learning, and LLM evaluation techniques.
• Experience integrating external data sources via APIs, web scraping (Playwright / Scrapy), or streaming pipelines (Kafka / Kinesis).
• Working knowledge of containerisation (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with graph export formats - at least one GraphML, RDF/OWL, or JSON-LDExperience integrating GNN-derived features into vector stores or RAG pipelines

PREFERRED QUALIFICATIONS

• Advanced degree (MS / PhD) in Computer Science, Information Science, Computational Linguistics, or a related field.
• Experience in intelligence, defence, or trade-craft environments — working with OSINT, link analysis, entity disambiguation, or signals intelligence data.
• Understanding of access-control models for sensitive graph data (need-to-know, compartmentalisation, provenance labelling).
• Familiarity with knowledge representation standards like OWL, SHACL, RDF-star, JSON-LD, W3C PROV.
• Experience with fine-tuning or instruction-tuning open-source LLMs (Llama, Mistral, Falcon) for domain-specific tasks.
• Background in network-analysis algorithms: centrality, community detection, path-finding, anomaly detection on graphs.
• Contributions to open-source graph or GenAI projects; published research or technical blog presence.
• Active or adjudicatable security clearance (Secret or above) — strongly preferred for trade-craft assignments.

About the Role

Our Machine Learning Engineering team powers personalized experiences for hundreds of millions of customers across thousands of brands. As a Senior Machine Learning Engineer, you will play a critical role in building, scaling, and operating production-grade ML systems that drive real-time personalization across the Attentive platform.

What You’ll Accomplish

• You have a proven track record of building systems that maintain a high bar of quality
• You deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniques
• You are a collaborator, technical leader, and a great communicator
• You are constantly improving the quality of the project you are working on, both via direct contributions as well as long-term advocacy for larger-scale changes
• You are enthusiastic about the high impact, fast-paced work environment of an late-stage startup
• 10+ years experience is ideal

Your Expertise

• You have worked professionally building systems for 6+ years with experience on a single system long enough to see the consequences of your decisions
• Experience with TensorFlow/Pytorch, xgboost, pandas, matplotlib, SQL, Spark or similar tools
• You have proficiency or experience with Python
• You have extensive experience using machine learning and data analysis, or similar, to build scalable systems and data-driven products, working with cross-functional teams
• You have a proven track record of building scalable, efficient, automated processes for large-scale data analyses, model development, model validation, and model implementation from modern research
• You have led cross-functional machine learning projects across teams

What We Use

• Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS
• Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
• Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
• Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
• Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace 🤗, PyTorch, TensorFlow, and Pandas

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

For US based applicants:

• The US base salary range for this full-time position is $320,000 - $360,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

#LI-EF1

By applying for this position, your data will be processed as per Attentive's Privacy Policy.

Meet our software engineers!

About the role

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
• Carve out your own area of expertise and influence product decisions
• Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy

We're looking for someone who has:

• A Bachelor's degree in Computer Science, Software Engineering, or equivalent
• 3+ years of experience shipping complex software
• Demonstrated ability to be a self-starter and can quickly become comfortable with new technical tools
• Designed efficient and effective solutions to a wide range of engineering challenges
• Proven ability to take initiative in a fast-paced environment

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)
• Experience writing Python, C++, Javascript, or Golang

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.

About the job

Onapsis is on a mission to safeguard the most critical business applications that business depends on daily. Over 20% of the Fortune 100 rely on Onapsis to secure their business-critical applications and ensure they are compliant and available. 

We are looking for self-motivated and enthusiastic Software Engineers who want to make an impact in the cybersecurity space by continuing to advance, maintain, and enhance our platform features in the areas of Threat Detection & Response, Vulnerability Management, and Compliance Automation. 

What you will be doing, your legacy: 

Working with leadership, product management, and the Onapsis research team. You will be engaged in evaluating, scoping, proposing, and building features to fulfill business solution requirements to protect our customers. Work collaboratively within a team of cybersecurity researchers, engineers, and product managers to iterate toward product definition and realization. Additionally, you will be working with the Architecture team to take the platform to the next level of maturity in terms of technologies and architecture design while advancing our quality engineering processes to deliver high-quality products and services while also working closely with security and IT professionals to ensure safe and secure systems architectures are followed. 

Requirements:

• 2+ years of professional software engineering experience
• 1+ years of programming experience with Python
• 1+ years of experience contributing to the system design or architecture (architecture, design patterns, reliability, and scaling) of new and current systems
• Bachelor’s Degree in Systems Engineering, Computer Science or related field, or relevant work experience.
• Experience building APIs (REST, GraphQL, Django, Flask)
• Experience developing in Linux environment
• Knowledge of test-driven development (TDD), CI / CD tooling, and Agile methodologies
• Experience with Asynchronous tasks/queues. (Celery, AMQP, MQTT, Redis)
• Experience with Relational databases and ORMs (we use PostgreSQL and SQLAlchemy).
• Experience troubleshooting production environments using observability and monitoring tools

Desired skills or interests in:

• Container technology, i.e., Docker, Kubernetes
• Security software development best practices
• Cloud-native application development and Cloud Technologies 
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Experience with distributed computing and enterprise-wide systems
• Experience in communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy

What we offer: 

• A role in shaping the future of protecting the most critical applications that run the world's business and a career that grows as the company grows.
• A unique culture of high achievement and teamwork.
• Supportive and humble colleagues are some of the space's top problem solvers and innovators.
• Financial security through competitive compensation and incentives.
• A comprehensive benefits plan, including medical, dental, vision, disability, life insurance, and a 401K.
• Unlimited paid time off.

Location: Dallas Mid-Cities - Hybrid 1-2 days per week in office, so candidates must be commutable to Mid-Cities / Dallas, Texas - This is not a remote-only opportunity.

About our Company:

Onapsis is a proven market leader that protects the most critical applications that run your business.  Only Onapsis delivers the actionable intelligence, automated governance, continuous monitoring, and secure change capabilities required by cross-functional teams to optimize workflows and automate manual tasks so they can embrace and accelerate SAP and Oracle E-Business Suite (EBS) modernization, cloud, IoT, and mobility initiatives while keeping the most vital systems and data protected and compliant.

Headquartered in Boston, MA, and with regional offices in DFW Metroplex, Heidelberg, Germany, Bucharest, Romania and Buenos Aires, Argentina, Onapsis proudly serves more than 300 of the world’s leading brands and organizations, including many of the Global 2000.

#LI-AC1

#Hybrid

Role Description: 

Defense Unicorns is seeking a Senior Full-Stack Engineer to join our Fleet team, focused on building and evolving Fleet Management and Edge Management capabilities within the UDS platform.

This role is centered on developing complex, data-driven interfaces that allow users to understand, manage, and operate distributed systems across edge and remote environments. These are not simple CRUD interfaces—they are operational control surfaces for real-world systems.

You will own and drive the frontend experience, while working across the stack to ensure tight alignment between UI behavior, APIs, and underlying system capabilities.

You’ll collaborate closely with backend engineers, platform engineers, and designers to build responsive, reliable, and intuitive experiences on top of complex APIs and distributed system state.

While frontend-focused, this role requires strong full-stack awareness—understanding how data flows through systems, how APIs are designed, and how frontend decisions impact system behavior, especially in asynchronous and distributed environments.

What You’ll Work On:

• Building interfaces for managing individual assets and large fleets of systems
• Designing and implementing data-rich UIs that reflect real-time and distributed system state
• Developing workflows for deploying, updating, and monitoring systems across environments
• Handling complex state management and asynchronous data flows
• Integrating frontend applications with backend APIs and platform services
• Improving usability and clarity for technically complex operations
• Partnering with UX to translate complex system behavior into intuitive user experiences

Responsibilities: 

• Design and build scalable, maintainable frontend applications
• Collaborate with product, UX, and backend engineers to define and implement features
• Translate complex backend capabilities into clear and usable interfaces
• Write clean, testable, and well-structured code
• Develop and maintain automated tests (unit, integration, and end-to-end)
• Contribute to frontend architecture and technical decisions
• Identify and improve performance, reliability, and usability issues
• Work effectively in a remote, asynchronous environment

Travel Expectations/Requirements: 0-5%

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. 

Preferred Experience and Qualifications:

• 5+ years of experience in frontend or fullstack development
• Strong proficiency with modern frontend frameworks (Svelte or React preferred; Angular or similar frameworks acceptable)
• Strong familiarity with modern frontend tooling and build system best practices
• Experience with testing strategies across frontend applications
• Experience building data-intensive or state-heavy applications
• Strong understanding of API design and integration (REST, GraphQL, etc.)
• Experience working closely with backend systems and distributed architectures
• Strong problem-solving skills and ability to navigate complex systems
• Excellent communication and collaboration skills

Nice to Have:

• Experience building interfaces for infrastructure, DevOps, or platform systems
• Familiarity with Kubernetes, containers, or distributed systems concepts
• Experience designing for constrained or unreliable network environments
• Contributions to open source or developer tooling projects
• Experience with CI/CD and deployment pipelines

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning pipelines and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at customer sites at Schofield Barracks in Oߵahu, Hawaiߵi. You will be expected to travel up to 30% of the time, including some international travel.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience 
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, data science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes [K8s], cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $175,000–$205,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands—increasing reliability and performance while lowering costs and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Machine Learning Engineer at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to both the customer-driven projects and the enduring products of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will inform, envision, and help extend Striveworks’ core software products. You will work alongside data scientists, software engineers, and DevOps engineers to transform machine learning models into operational capabilities.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome-driven and are passionate about applying both software engineering and data science to solve real-world problems. You know that building customer-centric solutions, communicating clearly, and capturing repeatable value into productized capabilities are all important. 

Your day-to-day will include:

• Developing machine learning models and custom analytics that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data engineering and analytic pipelines
• Envisioning, specifying, and, at times, designing and implementing core product functionality
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

We value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, or a related discipline and 2+ years of relevant experience
• Experience contributing to data-centric systems (e.g., data engineering, data cleaning, ETL pipelines, machine learning, and other production analytics)
• Proficiency in software engineering fundamentals to include algorithms, data structures, design patterns, and at least one systems programming language (e.g., Go, Rust, C++, Java, Scala, etc.)
• Proficiency in Python and exposure to libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to modern software engineering tools and processes (Agile, version control, issue tracking, CI/CD, debugging, etc.)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree in data science, machine learning, computer science, or a related discipline
• Excellence in Python and deep knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Knowledge of relevant architectures and design patterns for client-server systems (e.g., asynchronous programming, REST, GraphQL, React, Vue, Angular)
• Experience implementing and deploying software into containerized or cloud environments (e.g., Docker, Kubernetes, infrastructure as code, major cloud architectures)
• Experience with machine learning applied to imagery and/or video data
• Experience building agentic systems, agentic workflows, or AI agents
• Experience defining, scoping, planning, and delivering complex technical solutions
• Experience delivering technology solutions in secure government environments

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Check us out on Built In!

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Senior Software Engineer, Android

San Mateo, CA

As a Senior Software Engineer, you have hands-on technical expertise, ingenuity, and excellent communication skills. You will use your deep understanding of Android native development, system internals, and telemetry frameworks to help pave the way for future innovation on our platforms.

You will contribute to critical infrastructure systems for our mobile applications, including telemetry and logging solutions, before transitioning to UI implementation for our next-generation cross-platform mobile application, applying industry standard best practices to deliver fluid, performant experiences with maximum extensibility.

Responsibilities:

• Design and implement comprehensive telemetry, logging, and diagnostic systems for mobile applications, ensuring robust monitoring and analytics capabilities.

• Build and integrate frameworks to streamline development across mobile and console teams, enhancing efficiency and collaboration.

• Development of mobile applications using Agile methodologies like Scrum, delivering iterative improvements and meeting project milestones.

• Develop and maintain high-quality applications using both Android native technologies and React Native, ensuring they are production-ready and meet performance standards.

• Implement reusable components and infrastructure, focusing on scalability and maintainability. Apply architectural patterns like MVC, MVVM, and MVP.

• Collaborate closely with international teams of UI designers and product managers (USA, Japan, UK) to translate requirements into actionable work packages, creating engaging mobile user experiences.

• Identify performance bottlenecks through telemetry data and craft solutions to improve customer delight.

Required Qualifications:

• Genuine passion for crafting seamless, reliable mobile experiences, prioritizing both system performance and user experience.

• Bachelor's or Master's degree in Computer Science or a related field or equivalent practical experience.

• 5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio.

• Proven experience implementing telemetry, analytics, and logging solutions in production mobile applications.

• Deep understanding of Android system internals, debugging tools, and performance profiling methodologies.

• Experience with modern JavaScript frameworks such as React/React Native, Angular, or similar technologies for building responsive interfaces and dynamic applications.

• Strong understanding of mobile landscapes, architectures, and trends in Android development, including emerging technologies.

• Proven experience with Agile development methodologies, such as Scrum.

• Demonstrated ability to measure and optimize application performance, with expertise in metrics collection and analysis.

Desired Qualifications:

• Experience with enterprise telemetry and monitoring platforms.

• Knowledge of data serialization formats and efficient data transmission protocols.

• Experience with React Native bridge development and native module creation.

• Experience with open-source contributions, especially library development.

• Experience in developing multi-threaded applications with a strong understanding of concurrency and synchronization.

• Proficiency in designing and implementing GraphQL APIs.

• Understanding of privacy compliance considerations for data collection.

Senior Software Engineer, Android

San Mateo, CA

As a Senior Software Engineer, you have hands-on technical expertise, ingenuity, and excellent communication skills. You will use your deep understanding of Android native development, system internals, and telemetry frameworks to help pave the way for future innovation on our platforms.

You will contribute to critical infrastructure systems for our mobile applications, including telemetry and logging solutions, before transitioning to UI implementation for our next-generation cross-platform mobile application, applying industry standard best practices to deliver fluid, performant experiences with maximum extensibility.

Responsibilities:

• Design and implement comprehensive telemetry, logging, and diagnostic systems for mobile applications, ensuring robust monitoring and analytics capabilities.

• Build and integrate frameworks to streamline development across mobile and console teams, enhancing efficiency and collaboration.

• Development of mobile applications using Agile methodologies like Scrum, delivering iterative improvements and meeting project milestones.

• Develop and maintain high-quality applications using both Android native technologies and React Native, ensuring they are production-ready and meet performance standards.

• Implement reusable components and infrastructure, focusing on scalability and maintainability. Apply architectural patterns like MVC, MVVM, and MVP.

• Collaborate closely with international teams of UI designers and product managers (USA, Japan, UK) to translate requirements into actionable work packages, creating engaging mobile user experiences.

• Identify performance bottlenecks through telemetry data and craft solutions to improve customer delight.

Required Qualifications:

• Genuine passion for crafting seamless, reliable mobile experiences, prioritizing both system performance and user experience.

• Bachelor's or Master's degree in Computer Science or a related field or equivalent practical experience.

• 5+ years of experience in Android native development with strong expertise in Java/Kotlin and Android Studio.

• Proven experience implementing telemetry, analytics, and logging solutions in production mobile applications.

• Deep understanding of Android system internals, debugging tools, and performance profiling methodologies.

• Experience with modern JavaScript frameworks such as React/React Native, Angular, or similar technologies for building responsive interfaces and dynamic applications.

• Strong understanding of mobile landscapes, architectures, and trends in Android development, including emerging technologies.

• Proven experience with Agile development methodologies, such as Scrum.

• Demonstrated ability to measure and optimize application performance, with expertise in metrics collection and analysis.

Desired Qualifications:

• Experience with enterprise telemetry and monitoring platforms.

• Knowledge of data serialization formats and efficient data transmission protocols.

• Experience with React Native bridge development and native module creation.

• Experience with open-source contributions, especially library development.

• Experience in developing multi-threaded applications with a strong understanding of concurrency and synchronization.

• Proficiency in designing and implementing GraphQL APIs.

• Understanding of privacy compliance considerations for data collection.

ABOUT THIS ROLE

As a Software Engineer III for our Core Services, you will play a critical role in developing solutions with a team of talented and experienced software engineers. You will be responsible for designing and implementing projects to unlock the power of the LVT Hardware Platform. Your software will be deployed to the cloud with a high degree of reliability and security. You will be an influencer for our engineering culture and quickly establish yourself as a natural go-to thought leader among your more senior peers in the organization. 

ROLE RESPONSIBILITIES

• Technical Expertise: Master the use of our core technologies, and be an advocate for best practices in cloud software and AI assisted development. Stay up to date with advancements in the field and proactively identify opportunities to leverage new technologies for improved product development.
• Technical Leadership: Contribute to the development, implementation, and maintenance of backend services. In addition to being a high-velocity producer, be a prominent influencer in defining the engineering culture within your team, including its technical direction, methodologies and best practices, and robust engineering design.
• Cross-Functional Collaboration: Collaborate with cross-functional teams such as Product Management, Quality Assurance, and DevOps to execute projects while ensuring seamless integration. Foster effective communication channels and promote a culture of collaboration and knowledge sharing.

OUR IDEAL CANDIDATE

• Engineering Experience: 7+ years of engineering experience
• Technical Stack: Proficiency in TypeScript, Node.js/NestJS, Protobuf, AWS, GraphQL
• Strategic Thinking: Demonstrated ability to think strategically and make data-driven decisions.  Experience in developing and executing strategic plans that meet business needs.
• Education: Degree in Computer Science, Engineering, or a related field, or equivalent experience

ABOUT THIS ROLE

As a Software Development Engineer in Test (SDET III), you will be a pillar of our Software Quality team, ensuring the performance and reliability of an AI-driven platform that operates in the real world. You will partner with engineers and product managers to architect scalable automation frameworks and drive a culture of technical excellence. We are looking for a high-level individual contributor who doesn't just find bugs, but engineers the infrastructure that prevents them.

This role is based in-office out of our Headquarters in American Fork, Utah.

ROLE RESPONSIBILITIES

• Framework Architecture: Design, implement, and maintain scalable automation frameworks from scratch for UI (web/mobile), API, and backend services.

• Technical Leadership: Lead quality initiatives for complex, multi-service projects, providing architectural guidance and performing deep-dive code reviews for test code.

• CI/CD Integration: Own the integration of automated test suites into DevOps pipelines to ensure seamless execution and rapid feedback loops for the engineering team.

• Root Cause Analysis: Debug complex distributed systems to identify root causes across application code, infrastructure, and network configurations.

• Performance & Reliability: Design and execute sophisticated load, stress, and performance tests to ensure system stability under peak traffic and real-world conditions.

• Tooling Development: Build custom internal tools and dashboards to improve developer productivity, test data management, and environment orchestration.

• Test Case Management: Strategize and maintain comprehensive test coverage, utilizing manual testing only where automation is not feasible or effective.

• Cross-Functional Collaboration: Partner with stakeholders to define quality metrics and ensure all applications meet LVT’s high standards before deployment.

OUR IDEAL CANDIDATE

• Technical Education: Holds a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.

• Programming Mastery: Expert-level proficiency in at least one major language (e.g., Python or TypeScript) with a focus on writing clean, maintainable, and DRY code.

• Automation Expertise: 5+ years of hands-on experience with modern tools like Playwright, Selenium, or Appium, and API frameworks such as PyTest.

• Architecture Knowledge: Deep understanding of microservices, REST/GraphQL APIs, and the communication protocols of distributed systems.

• DevOps Proficiency: Experienced with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP), including managing CI/CD tools like GitHub Actions or Jenkins.

• Data Savvy: Advanced SQL skills and experience testing NoSQL databases such as MongoDB or DynamoDB.

• Security & Observability Mindset: Familiarity with automated security scanning (SAST/DAST) and monitoring stacks like ELK, Splunk, or Datadog.

• Mentorship: A proven track record of mentoring junior-to-mid-level SDETs and fostering a culture of technical rigor and excellence.

Job Title: Software Engineer
Employment Status: Exempt
Office Hours: Monday - Friday; hybrid schedule
Location: Boston, Massachusetts
Compensation: $130,000 - $150,000 base salary + bonus + equity
*compensation dependent on related experience level

About Ketryx:

Ketryx is an AI software platform that enables healthcare life sciences companies to ship life-saving regulated products in weeks instead of years.

Exploding product complexity is burying companies in compliance paperwork and blocking innovation. Our AI software removes this friction, dissolving the historical tradeoff between innovation and compliance, and enables regulated industries to innovate at the pace of modern software.

Just two years since launch, Ketryx already touches the lives of 25M patients and powers 3 of the world’s top 5 MedTech companies and 25% of the Fortune 500 MedTech market. Backed by Lightspeed Ventures, our founders are the former Head of AI at Amgen and CTO of Wolfram Cloud.

Healthcare and life sciences is just the beginning for us. Automotive, aerospace, energy — if it’s regulated, it’s because society decided it matters. These products move humanity, shape our future, and are safety-critical. Come join us and help build the AI platform to power safe innovation.

About the Role:

Join us in an exciting opportunity as a Software Engineer, where you will become an integral part of an extraordinary team of engineers dedicated to shaping the future of software at Ketryx. In this dynamic role, you will contribute to a small, highly motivated team, actively steering projects to successful completion. 

In this role, you will play a pivotal role in shaping the technological landscape, assuming ownership of critical technology decisions and roadmaps. With a self-starting attitude and a robust hands-on mentality, you will be at the forefront of tackling complex problems and driving innovation. Embracing agile working models, you will foster ideation, envision future possibilities, and address detailed improvements concurrently, contributing to Ketryx's commitment to reinventing how medical device manufacturers bring life-saving innovations to market. If you're reliable, detail-oriented, and ready to contribute to a global team, you could be a part of our mission to create safe and reliable medical software!

About You:

The ideal candidate is someone who possesses a deep passion for software and a profound desire to contribute to enhancing patient treatments through technological innovation. Your innate inquisitiveness, coupled with an unwavering enthusiasm for challenging assumptions, sets you apart. With excellent communication skills in both spoken and written English, you thrive in collaborative environments, where the exchange of ideas is paramount.

As a self-starter, you relish the opportunity to excel in a fast-paced startup environment, taking ownership of technology decisions and roadmaps. Your commitment to driving innovation aligns seamlessly with the ethos of our team, making you an invaluable asset in shaping the future of software at Ketryx. You are driven by a genuine love for software, a desire to improve patient outcomes, and the excitement of navigating cutting-edge challenges.

Responsibilities:

• Engage in customer interactions, collect feedback to build/design new prototypes and shape, plan and build product features together with our designers, product managers and other stakeholders
• Build features end to end, including backend and database work, with a strong focus on the user interface and user experience
• Collaborate closely with other team members in the Boston office (including Pre-Sales, Sales, Post-Sales, and Marketing) to shape and build product improvements (across the whole product)
• Build accessible user interfaces with React (NextJS), Tailwind, JollyUI (shadcn) and React Aria
• Establish and maintain good UI development practise in our codebase, while shaping out a well-documented component library with our design team
• Refactor and improve existing user interfaces, ideally by extracting and re-using common components
• Support and mentor other team members to help them build better UI
• Provide technical support to customers, collaborating with the Client Operations team

Required Skills:

• Ability to work in a fast moving startup environment, taking ownership of product features and pushing them forward
• 3+ years of full-time industry experience building frontend web applications in a production environment
• Very good understanding of using TypeScript (2+ years) with React (3+ years)
• Good understanding of using React Aria or an equivalent library for building accessible React components
• Experience in either building a design system and/or using an existing component library
• Experience using Tailwind with React

Preferred Skills:

• Good understanding of GraphQL and fragments
• Prior experience with logging tools such as AWS CloudWatch and Sentry
• Prior experience building AI related UI, particularly for large language models (e.g. Chat interfaces, builtin AI interactions)
• Additional full stack experience, e.g. working in a NextJS / express backend, working with a SQL database

Keywords: engineer, fullstack, full-stack, full stack, frontend, front-end, front end, back-end, back end, backend

Your Role

We’re looking for a Quality Assurance Engineer I to join our new team dedicated to building a world-class mobile experience for the parents of athletes using Hudl. You’ll help us launch and scale a brand-new platform that keeps parents connected to their athlete’s journey, ensuring every highlight, schedule update, and memory is delivered flawlessly. In this role, you’ll lead testing efforts within your squad, focusing on both prevention and efficiency to ensure our users have a seamless experience.

As a Quality Assurance Engineer I, you’ll:

• Champion the parent experience. You’ll be the voice of quality for our new mobile platform, ensuring that the parents of athletes have a seamless, reliable experience when engaging with their child’s sports world.
• Drive mobile-first strategy. You’ll attend all squad ceremonies to voice quality concerns, helping the team understand the unique impact of mobile features and the APIs that they rely on, ensuring that manual and automated testing are core to every ticket.
• Test and iterate rapidly. You’ll use a mix of automation, exploratory, and manual testing to validate healthy merges and successful releases, ensuring that sub-defects are caught and closed before they ever reach a parent’s device.
• Collaborate with your squad. You’ll be a vocal advocate for quality in all scrum ceremonies, helping your team understand the impact of defects and ensuring we solve the right problems for our users.

For this role, we're currently considering candidates who live within a commuting distance of our offices in Lincoln or Omaha, Nebraska. But with our flexible work policy, there aren't any current requirements for the number of days you come to the office.

Must-Haves

• Relevant education. A STEM bachelor's degree or equivalent experience.
• A problem solver. You can navigate technical and squad challenges comfortably, even when facing changing deadlines in a fast-paced environment.
• Technical. You have basic coding knowledge in Python or other programming languages and are comfortable with automated testing tools.
• User-focused. You think critically about the user experience and can empathize with those who depend on our tools every day.
• Team player. You work effectively with global teams and demonstrate empathy, kindness and strong communication skills in everything you do.

Nice-to-Haves

• AI tool exposure. Curiosity and exposure to leveraging AI tools (such as LLMs, specialized coding assistants, or test data generators) to increase efficiency in documentation, test case creation, or initial failure diagnosis.
• Mobile testing exposure. You have experience testing iOS or Android applications and an understanding of mobile-specific performance, UI nuances and automation using Appium, Detox, and/or React Native tooling and the associated APIs that apps rely on (protocols such as GraphQL, REST, etc.).
• Naturally curious. You enjoy thinking outside the box and exploring creative ways to break software to make it stronger.
• A constant learner. You’re passionate about professional development and always looking for new areas to grow your skills.
• Agile fluency. Experience working within a Scrum framework and participating in sprint ceremonies will help you jump right in.

Our Role

• Champion work-life harmony. We’ll give you the flexibility you need in your work life (e.g., flexible vacation time, company-wide holidays and timeout (meeting-free) days, remote work options and more) so you can enjoy your personal life too.
• Guarantee autonomy. We have an open, honest culture and we trust our people from day one. Your team will support you, but you’ll own your work and have the agency to try new ideas. 
• Encourage career growth. We’re lifelong learners who encourage professional development. We’ll give you tons of resources and opportunities to keep growing.
• Provide an environment to help you succeed. We've invested in our offices, designing incredible spaces with our employees in mind. But whether you’re at the office or working remotely, we’ll provide you the tech stack and hardware to do your best work.
• Support your mental and physical health. We care about our employees’ wellbeing. Our Employee Assistance Program, employee resource groups and fitness partner Peerfit have you covered.
• Cover your medical insurance. We have multiple plans to pick from to ensure you’ll have the coverage you (and your dependents) want, including vision, dental, fertility healthcare and family forming benefits.
• Contribute to your 401(K). Yep, that’s free money. We’ll match up to 4% of your own contribution.

Compensation

You will be a key member of our backend team and determine the core infrastructure of our next generation platforms and services to enhance our PlayStation ecosystem. 

Responsibilities: 

• Contribute to the development of backend systems that power the PlayStation platform as part of a collaborative Scrum team.
• Work closely with other developers and teams to support the design and implementation of platform services.
• Build and maintain scalable services using Node.js and TypeScript/JavaScript.
• Write clean, maintainable, and well-tested code, including unit tests for features and bug fixes.
• Assist in troubleshooting, debugging, and resolving technical issues.
• Participate in code reviews and contribute to improving overall code quality.
• Create and maintain technical documentation for your work.
• Continuously learn and grow by engaging with senior engineers and adopting best practices in software development.

Required Qualifications: 

• Bachelor’s degree in Computer Science or related field, or equivalent.
• 3+ years of experience in backend or full-stack development.
• Direct experience with Node.js, JavaScript, and/or TypeScript.
• Knowledge of RESTful APIs and general web service principles.
• Familiarity Exposure to cloud technologies such as AWS, Azure, or GCP.
• Strong problem-solving and communication skills, with an eagerness to learn and take feedback.
• Comfortable working in a collaborative, agile team environment.
• Experience working with GraphQL or RESTful APIs.
• Knowledge of version control systems such as Git and familiarity with pull request workflows.
• Interest in CI/CD pipelines and understanding the basics of automated builds or testing.
• Awareness of monitoring tools or performance metrics for backend services.
• Familiarity with frontend frameworks or Server-Side Rendering (SSR) tools such as Next.js is a plus.
• Coursework or exposure to software testing, data structures, or distributed systems concepts.
• Familiarity with other Server Side Languages

Software Engineer II (Frontend), Social  

Rancho Bernardo, CA
Must relocate to Los Angeles, Orange County, or San Diego area.

The Software Engineer II role will design and develop solutions for PlayStation features on the PS5, mobile, and other supported platforms. They will provide strong technical knowledge, experience, and implementation efforts across all supported platforms. The ideal candidate will come from a strong object-oriented development background and be passionate about client applications and web technologies.

Responsibilities:

• Build and develop complex projects across mobile, console, and supported platforms, enhancing efficiency and collaboration.
• Develop and maintain high-quality front-end applications using React Native, ensuring they are production-ready and meet performance standards.
• Create and deploy adaptable UI elements for multiple platforms, emphasizing scalability and ease of maintenance, while incorporating architectural frameworks such as MVC, MVVM, and MVP.
• Develop unit and integration tests and conduct code reviews to ensure high-quality code and seamless functionality.
• Maintain clear, concise documentation of system architecture, codebase, and development processes.
• Develop using Agile methodologies such as Scrum to deliver iterative improvements and achieve breakthroughs.
• Collaborate closely with international teams of UI designers and product managers (USA, Japan, UK) to translate requirements into actionable work packages, creating engaging mobile user experiences.
• Represent the team in technical forums by presenting designs, sharing knowledge, and contributing insights to other Sony software development groups.

Required Qualifications:

• Bachelor’s degree in Computer Science or equivalent.
• Genuine passion for crafting seamless, intuitive user experiences that prioritize usability and performance.
• 2+ years of experience crafting single-page web applications or mobile applications.
• Hands-on experience with modern JavaScript frameworks such as React/React Native, Angular, or similar technologies to build flexible interfaces and engaging applications.
• Proficient knowledge of mobile environments, structures, and advancements in iOS and Android programming, including emerging innovations.
• Strong analytical and problem-solving skills, emphasizing effective and scalable solutions.
• Excellent verbal and written communication skills, with an ability to collaborate effectively in a team environment.
• Experience collaborating on cloud-deployed services that host APIs and backend processes interacting with data storage and caching layers, event buses, and other services.

Desired Qualifications:

• Proven experience with Agile development methodologies, such as Scrum.
• Proven skill in evaluating and improving UI and application performance, with a focus on UI response time and network optimization.
• Skilled in developing multi-threaded applications with a deep understanding of concurrency and synchronization.
• Experience in working with C++ and C# on multi-threaded applications.
• Proficiency in designing and implementing GraphQL APIs.
• Experience with cloud services and serverless architectures.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Prior experience with system monitoring, performance tuning, and debugging in production environments.

Why PlayStation?

PlayStation isn’t just the Best Place to Play — it’s also the Best Place to Work. Today, we’re recognized as a global leader in entertainment, producing the PlayStation family of products and services, including PlayStation®5, PlayStation®Plus, and acclaimed PlayStation software titles from PlayStation Studios, and more.  PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team.  The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Corporation.

Senior Manager, Software Engineering (Client Platform)

San Mateo, CA - Hybrid 

PlayStation is building the future of connected gaming experiences through a unified platform powering services and experiences across consoles, clients, and the cloud. We are seeking a Senior Software Engineering Manager to lead our Client Experiences team. You’ll own the technical strategy, people leadership, and execution, scaling them from 0→1 and 1→N. You’ll manage managers and senior ICs, partner with Product, Design, Research and Security, and set a culture of high‑velocity delivery with reliability and safety.

Responsibilities

• Lead and grow a dedicated client engineering team, ensuring delivery on roadmaps that prioritize user delight, modularity, multi-platform architecture, and global scalability.

• Evangelize the multi-platform strategy across PlayStation by partnering closely with engineering leaders across platforms and client teams to align on integration, adoption, and long-term technical direction.

• Multi-surface architecture: strike the right balance between native excellence and shared code; build a coherent design system and navigation model that spans phone, tablet, desktop, and web.

• Build and lead high‑impact teams (hiring, coaching, performance, career paths); manage managers and staff engineers. Mentor and coach engineers to grow their careers, fostering a culture of technical excellence, inclusivity, and innovation.

• Own the Platform: Define the North Star platform architecture, set Performance and Reliability KPIs, and Release Engineering specifics to ship predictably. 

• Culture & process: set clear operating rhythms, foster autonomy with accountability, and raise the bar on engineering quality. Be a champion of advocating AI first team mindset.

• Collaborate with global teams across San Mateo, Tokyo, London, and more to drive consistent adoption and integration of platform services.

• Partner with leadership and stakeholders to translate strategic priorities into executable technical roadmaps that advance the PlayStation ecosystem.

• Drive continuous improvement in developer tooling, CI/CD pipelines, service performance, and observability to accelerate the developer experience.
  

Required Qualifications

• BS/MS in Computer Science or equivalent. 

• 5+ years leading client/mobile/web teams in engineering leadership roles; 2+ years managing managers and senior/staff ICs.

• Track record shipping large‑scale native apps and/or complex web apps with strict performance, reliability, and privacy requirements. Prior experience in releasing globally distributed applications impacting millions of users.

• Strong technical background in software development with proven success building and shipping mobile and desktop applications

• Experience with React Native and Native mobile technologies iOS/iPadOS, with broader familiarity with desktop architecture, such as Windows and MacOS. 

• Track record of recruiting, scaling, and retaining engineering talent in a high-growth environment. Demonstrated success in coaching and mentoring engineers, balancing delivery with individual growth.

• Excellent leadership and communication skills, with the ability to work effectively across functions

• Successfully promoted a culture of belonging and engineering excellence

Desired Qualifications

• Depth in at least two of: Swift/Kotlin, TypeScript/React, language stacks. 

• Familiarity with iOS/Android or MacOS/Windows OS platforms.

• Knowledge of GraphQL, including schema design and federation is a plus

• Familiarity with CI/CD pipelines, service observability (metrics, logging, tracing), and production incident management. 

Equal Opportunity Statement:

Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.

Software Engineer II (Frontend), Social  

Rancho Bernardo, CA
Must relocate to Los Angeles, Orange County, or San Diego area.

The Software Engineer II role will design and develop solutions for PlayStation features on the PS5, mobile, and other supported platforms. They will provide strong technical knowledge, experience, and implementation efforts across all supported platforms. The ideal candidate will come from a strong object-oriented development background and be passionate about client applications and web technologies.

Responsibilities:

• Build and develop complex projects across mobile, console, and supported platforms, enhancing efficiency and collaboration.
• Develop and maintain high-quality front-end applications using React Native, ensuring they are production-ready and meet performance standards.
• Create and deploy adaptable UI elements for multiple platforms, emphasizing scalability and ease of maintenance, while incorporating architectural frameworks such as MVC, MVVM, and MVP.
• Develop unit and integration tests and conduct code reviews to ensure high-quality code and seamless functionality.
• Maintain clear, concise documentation of system architecture, codebase, and development processes.
• Develop using Agile methodologies such as Scrum to deliver iterative improvements and achieve breakthroughs.
• Collaborate closely with international teams of UI designers and product managers (USA, Japan, UK) to translate requirements into actionable work packages, creating engaging mobile user experiences.
• Represent the team in technical forums by presenting designs, sharing knowledge, and contributing insights to other Sony software development groups.

Required Qualifications:

• Bachelor’s degree in Computer Science or equivalent.
• Genuine passion for crafting seamless, intuitive user experiences that prioritize usability and performance.
• 2+ years of experience crafting single-page web applications or mobile applications.
• Hands-on experience with modern JavaScript frameworks such as React/React Native, Angular, or similar technologies to build flexible interfaces and engaging applications.
• Proficient knowledge of mobile environments, structures, and advancements in iOS and Android programming, including emerging innovations.
• Strong analytical and problem-solving skills, emphasizing effective and scalable solutions.
• Excellent verbal and written communication skills, with an ability to collaborate effectively in a team environment.
• Experience collaborating on cloud-deployed services that host APIs and backend processes interacting with data storage and caching layers, event buses, and other services.

Desired Qualifications:

• Proven experience with Agile development methodologies, such as Scrum.
• Proven skill in evaluating and improving UI and application performance, with a focus on UI response time and network optimization.
• Skilled in developing multi-threaded applications with a deep understanding of concurrency and synchronization.
• Experience in working with C++ and C# on multi-threaded applications.
• Proficiency in designing and implementing GraphQL APIs.
• Experience with cloud services and serverless architectures.
• Familiarity with CI/CD pipelines and automated deployment processes.
• Prior experience with system monitoring, performance tuning, and debugging in production environments.

Software Engineer II

Madison, WI

Playstation is looking for a Software Engineer to build our next-generation technologies and applications in the growing Madison, WI campus. We apply modern web technologies and methodologies to build an outstanding commerce platform and a customer experience filled with delight. The ideal candidate will come from an object-oriented development background, and be passionate about front end web technologies. Are you ready for a rare opportunity to deliver high-quality, thoroughly tested code at one of the world’s most recognizable brands? We’re doing really cool things with web technologies like React, React Native, and more to keep PlayStation the #1 gaming platform in the world.

Yes! There is a Sony Playstation office in Madison, WI! We are located in the heart of downtown right near the Capitol Square with an outstanding view of the east side and many great restaurants and social opportunities right outside the door.

This is a hybrid role. We offer a flexible work-from-home policy. In-person meetings may sometimes be required. Otherwise, you can work in the office as much or as little as you prefer. We also host many social and team bonding events in our Madison campus.

The team

This team focuses on building client application experiences for PlayStation consoles, websites, mobile applications and beyond. These features serve millions of users around the world. If you strive for outstanding UX, improving performance for a fast experience, and the blend of games and technology, please apply.

Responsibilities:

• Develop, test and document business critical features and applications
• Work with Product Owners and Product Managers to understand feature requirements, capture technical requirements and craft solutions for components and applications for the PlayStation ecosystem
• Passionate about quality and strives to improve processes, proposes standard methodologies and drives their usage within the teams
• Developing JavaScript-based applications for PlayStation gaming consoles, web, mobile and future flagship Sony devices and services
• Building digital commerce solutions for PlayStation games, media content, subscription services and more
• Write robust unit and component tests to ensure reliability and prevent regressions.
• Work quickly and optimally in a fast-paced ever-evolving environment
• Work independently and collaborate with internal and external engineers
• Work with other team members by reviewing and giving feedback on pull requests and design plans
• Define and refine technical approaches that support performance, accessibility, and scalability.
• Exercise your feature building capabilities and collaborate within your team to optimize existing solutions as well
• Deploying platform experiences through CI/CD pipelines
• Monitoring software releases, analyze telemetry, and adapt to production data
• Continuously learn, experiment, and bring forward innovative ideas — participate in Hackathons and Café Days to help shape the future of PlayStation experiences.

Required Qualifications:

• Bachelor's degree or equivalent, or 3+ years of relevant work experience instead of a degree
• 2-3 years of building product experiences with proficiencies in UI technologies
• A passion for robust sustainable and high-quality code
• Excellent communication and collaboration skills
• Strong technical, analytical, and problem-solving skills
• Capable of producing detailed design and development documentation

Preferred Qualifications:

• Using HTML, CSS, the JavaScript ecosystem and familiarity with popular frameworks like React, Angular, Jest, and TypeScript
• Familiarity with Java and Spring Boot is a bonus
• Familiarity with GraphQL, REST APIs, and containerization tools such as Docker.
• Understanding of build pipelines and CI/CD standards, especially across multiple platforms.
• Experience working with performance optimization, accessibility, and responsive design principles.
• Curiosity about AI-assisted development tools or automation that improves developer efficiency

About the role

We are looking for bright engineers interested in designing elegant solutions to difficult problems for our defense customers. In this role, you will predominantly support our defense business units, focusing on the Axion and Acuity product lines.

Our software engineers work across our suite of products, tackling difficult full-stack, infrastructure, robotics, and computer vision problems. At Applied Intuition, we encourage engineers to take ownership over technical and product decisions, interact closely with defense stakeholders to collect feedback, and contribute to a mission-driven team culture.

At Applied Intuition, you will:

• Develop and scale Axion and/or Acuity products to support mission-critical defense autonomy workflows.
• Work across our entire stack to build new features for off-road navigation, sensor fusion, and mission planning.
• Have an unparalleled opportunity to work with domain experts across a variety of fields: robotics engineers, computer vision specialists, and defense industry veterans.
• Collaborate directly with the warfighter and allies to understand operational requirements and deploy software to the edge.
• Carve out your own area of expertise and influence the product roadmap for our defense business unit.

We're looking for someone who has:

• 2+ years of experience shipping complex, high-reliability software.
• Demonstrated ability to be a self-starter and can quickly become comfortable with new technical tools.
• Designed efficient and effective solutions to a wide range of engineering challenges (e.g., real-time systems, data pipelines, or complex UI/UX).
• Proven ability to take initiative in a fast-paced environment.

Travel Requirements

• Occasional travel required (approx. 10–20%) for demonstrations, integration, or customer engagement

Security Clearance

• Must be a U.S. Citizen
• Must be eligible for a U.S. SECRET clearance with Special Access Program (SAP) eligibility

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes).
• Experience with robotics middlewares (such as ROS/ROS2) or military-specific standards (e.g., JAUS, UCS).
• Experience modeling physical problems, sensor simulation, or working with geospatial data.
• Prior experience working on Department of Defense projects or in a regulated environment.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 to $190,000 USD annually.

About the Opportunity

As a Full Stack Engineer on our growing EV team, you will be responsible for developing our backend services while maintaining a high security posture within our growing infrastructure. Working directly with other engineers, you will develop new services/products that EnergyHub is building in the connected EV space, engaging drivers and OEMs on new initiatives that help the proliferation of EVs worldwide.

This role is a full-stack role, giving candidates the opportunity to build services, APIs, and front-end user interfaces for drivers and clients to interact with.

Main Responsibilities: What you’ll do

• Develop and maintain the backend services of our EV platform, ensuring that all components work together seamlessly.
• Integrate with third-party APIs to implement external services into our platform, enhancing OEM partners and other external solutions.
• Manage ingestion and storage of multivariate data sets that can scale to millions of users/connected vehicles.
• Build and enhance data lakes to provide additional data analysis for different services and consumers.
• Develop services to interact with connected vehicles at scale.
• Develop and maintain front end “web apps” to provide UIs for our various different products and services.
• Ensure proper security and data protection policies, procedures, and monitoring are in place.
• Design, develop, and maintain third-party accessible APIs for data ingest/egress within the platform.
• Write and maintain technical documentation.
• Drive and embody the “Dev Owns Quality” culture.
• Other duties as assigned

Required Skills and Experience: What you need

• 3+ years professional software engineering experience, preferably in a small to medium-sized team, with a proven exceptional ability as a FullStack engineer or similar role.
• Strong comfortability with Kotlin/Java and familiarity with web services and RESTful APIs using Spring.
• Expertise in API ingestion and data normalization processes.
• Experience with front end languages, such as React/Typescript.
• Experience with containerized systems.
• Knowledge of modern security best practices, authentication/authorization frameworks, and system/API hardening.

Preferred Skills and Experience: Nice-to-haves

• Experience with AWS or other cloud providers.
• Experience with GraphQL.
• Typical development tools and processes (automated testing, continuous integration/deployment, monitoring systems)
• Experience with Event-Driven systems and data processing pipelines (Kafka, SNS/SQS, Kinesis, S3, etc)

About The Role

This is a C++ backend engineering role on a team building AI-driven power-user applications in the CAD/CAM space. You'll work closely with product engineering to integrate CAM and CAD libraries into our web-product via C++ powered web-services.

The ideal candidate is a CAD/CAM industry veteran or backend engineer with experience writing modern C++. Prior experience with writing and deploying C++ gRPC services or experience deploying C++ services and/or writing CAD/CAM applications is required. If you’re a team player who is happy to be the C++ subject-matter-expert on our team, we would love to bring you on board!

About The Team

We're a team of developers who genuinely love what we do. We're passionate about building great products and obsess over the details that make software feel right.

We're also the kind of people who get excited about stepping outside our comfort zones. Whether it's picking up a new technology, diving into an unfamiliar domain, or tackling a gnarly technical challenge, we see those moments as opportunities to grow. If you're the type who lights up when facing a hard problem rather than shying away from it, you'll fit right in.

At ReCAM, we are building new, automation-first, computer-aided manufacturing (CAM) applications. It’s early stage, which means we ship fast and adapt as we learn from user testing. At the same time, we strive for the kind of technical excellence that enables rapid development. If you enjoy building new and cool software – and the occasional game session – you’ll love it here!

Our Ideal Candidate

• You love working with C++ and are happy to share your knowledge with others
• You’ve either build C++ web services before, or are up for the challenge
• You care about code-standards and building team-wide practices that elevate code quality and engineering culture
• You are independent, eager to learn and take ownership, enthusiastic about technology and development
• You know your stuff, but are not scared to admit knowledge gaps and accept constructive criticism
• You believe in collaboration and engaging in technical reasoning to establish team-wide software engineering standards
• You can engage in thoughtful peer review of others' work

Required Qualifications

• Bachelors in CS and 4+ years in industry, or equivalent work experience
• Professional experience with modern C++17/20 (4+ years)
• Familiarity with CMake and C++ package managers like conan/vcpck
• Strong systems programming fundamentals: memory management, multithreading, performance profiling, debugging, etc.
• Prior experience working on teams building C++ codebases and maintaining them over time, or alternately, proven experience contributing to open-source C++ libraries with other contributors
• Prior experience with designing APIs (RPC, REST or GraphQL) and a sense for what constitutes good API design in one or more of these paradigms
• Familiarity with cloud providers like AWS (preferred), Azure or GCP and containerized deployment solutions like EC2/ECS/EKS or equivalent.
• Understanding of DevOps/SRE principles like continuous delivery, CI/CD pipelines, deployment environments, IaC, telemetry, observability, capacity planning, etc.
• Understand proper usage of git and docker/containers

Nice-To-Have's

• Experience writing and deploying C++ gRPC services in cloud environments
• Prior experience with geometric kernels like OCCT/OpenCASCADE (preferred), Parasolid, ACIS or similar is highly desirable
• Prior experience working with G-code, toolpaths or machining simulation will be a major advantage
• Experience with OpenGL/WebGL, three.js and/or 3D rendering in the browser
• Prior start-up, early-stage or greenfield experience
• Personal projects/portfolio you would love to share and talk about

Compensation Range: Annual salary for this position is expected to be between $93,734 to $140,601, plus participation in our annual bonus plan and long term incentive plan. The actual pay may be higher depending on your qualifications and experience. 

Interview Process

• Recruiter connection
• Hiring manager screen
• Coderpad/take-home assessment
• Interview panel (4 rounds):
  • 30 min: Product demo and alignment with product team  
  • 45 min: Technical Round 1 - C++/CAD/CAM
  • 15 min: Break
  • 45 min: Technical Round 2 – Backend Engineering
  • 1 hour: System design panel
  • 15 min: Time for candidate questions

You'll get a chance to meet the whole team you'd be working with daily.

About Re:Build Manufacturing

Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America’s next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We demonstrate deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential.

Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We’ve assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we’re employing their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment.

The BIG payoff

We are a company who is going to make a difference in the industries and the communities in which we choose to operate.  Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company!  We want to work with people that reflect the communities in which we operate.

Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason.

Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

About Boulder

Boulder Care is an award-winning digital clinic for addiction medicine, recognized for both innovation and high quality of patient care. Founded in 2017 by CEO Stephanie Strong, our mission is to improve the lives of people with substance use disorders through compassionate, evidence-based care.

We provide Boulder patients with a fully virtual, multidisciplinary care team—including medical providers and peer recovery specialists—who deliver personalized treatment, including medication for opioid use disorder (MOUD) and ongoing support. Our approach is grounded in clinical excellence, patient-centered care, and a commitment to reducing barriers to recovery. Boulder partners with leading health plans, employers, and community organizations to ensure that our services are accessible and covered for the people who need them most.

Named by Fortune as one of the Best Workplaces in Healthcare, Boulder fosters a culture of kindness, respect, and meaningful work that delivers outstanding patient outcomes and moves the addiction medicine industry forward.

About this role

We’re looking for a Senior Full-Stack Software Engineer to help shape the direction of our platform and elevate the impact of our engineering team. This role offers meaningful influence and scope: shipping features that improve patients’ lives, strengthening the reliability of our systems, and moving our product forward in close partnership with Product, Design, Data, and Clinical teams.

You’ll build across our stack (React, React Native, NestJS, GraphQL, Postgres) ) and cloud-based systems (AWS) to remove friction from care, support clinicians at scale, and ensure patients remain at the center of every experience we deliver.

What you’ll do

Ship high-quality features that improve patient care

• Build reliable, well-tested software across our apps and backend that helps patients access treatment and enables care teams to work efficiently.
• Break down problems, propose thoughtful, well-scoped solutions, and deliver code that’s maintainable and scalable.
• Participate in code reviews, document your work, and contribute to a high bar for quality.
• Make pragmatic build-versus-buy recommendations.

Strengthen the stability and performance of our systems

• Identify and fix bugs, performance issues, and sources of tech debt that slow us down.
• Contribute to shared infrastructure, cloud architecture, testing patterns, and monitoring so the platform stays fast and dependable.
• Use AI-assisted development tools thoughtfully to improve engineering velocity, code quality, and problem-solving while maintaining strong judgment around security, privacy, and maintainability.
• Support incident response when needed.

Own your work from idea through iteration

• Help shape scopes, execute with focus, and use data and feedback to refine shipped features.
• Communicate tradeoffs early and ensure your work moves smoothly from concept to delivery.

Impact you’ll have

• Ship durable, high-quality features that meaningfully improve patient care and team effectiveness.
• Make the platform more reliable, scalable, and easier to build on over time.
• Reduce complexity and ambiguity by collaborating closely with cross-functional partners.
• Elevate engineering practices through strong technical judgment, thoughtful tradeoffs, and example-setting work.

What you bring

• 5-8+ years of professional software engineering experience, including meaningful ownership of production systems
  • Years of experience are a guideline. We care more about demonstrated impact and scope.
• Strong proficiency in TypeScript and modern JavaScript (ES6+), with expertise building full-stack applications.
• Hands-on experience across multiple layers of the stack: React or React Native on the front-end, and NestJS/GraphQL services on the back-end, and cloud infrastructure (AWS) or platform services.
• A track record of shipping well-scoped, high-quality features with clear attention to reliability, maintainability, and performance.
• Experience improving systems beyond your own code and contributing to testing patterns, monitoring, cloud infrastructure, or developer tooling.
• Hands-on experience using AI tools in the software development lifecycle, and curiosity about applying AI pragmatically to build better products and internal workflows.
• Comfortable working in a fast-moving, iterative environment balancing delivery speed with long-term technical health.
• Clear, thoughtful communication and the ability to collaborate effectively with Product, Design, Data, and Clinical Ops partners.
• Strong ownership and accountability: you stay engaged through delivery, surface risks early, and ensure shipped work solves the right problem.
• Curiosity, empathy, and a desire to build software that directly improves patient lives.

If this role excites you but your background doesn’t align perfectly with every qualification, we still encourage you to apply! We value demonstrated impact, growth potential, and diverse experiences.

Interview process

• Recruiter screen (20min)
• Hiring manager interview (45min)
• Pair programming exercise (75min)
• Architectural exercise (60min)
• Team meet & greet

Expected hours of work
This is a full-time remote position expected to work 40 hours between Monday-Friday during standard business hours. Team members may work with their managers to adjust work hours to suit the needs of the position.

Compensation

The starting pay range for this position is $145,000 - $170,000 per year; base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements including a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave).

Perks and benefits

• Contribute to meaningful, life-saving work!
• Comprehensive medical, dental, vision, and short-term disability benefits designed to take care of our employees and their families 
• Mental Health Services via insurance coverage, including Talkspace, and EAP for continuous care
• 4 weeks of vacation accrued per calendar year with a tenured increase to 5 weeks at 2 years of employment
• Sick leave accrued at 1 hr for every 30 hrs paid
• 9 Paid Holidays per year
• 12 weeks of 100% paid parental leave for the birth or adoption of a child (after 6 months of employment)
• 401(k) retirement savings
• Remote friendly with hardware provided to complete your work duties

Why work at Boulder?
We offer a unique opportunity to combine your technical expertise with meaningful impact. Here’s why joining our team is a decision that matters:

Mission-driven innovation
Work on life-changing digital solutions that improve access to addiction treatment. Boulder’s program achieves 90% patient retention in the first month and 70% retention over 12 months, three times the industry average.

Collaborative and thoughtful team
Join a diverse group of expert clinicians, technologists, researchers, and strategists, all aligned under a common mission. Boulder’s engineering leadership has built scalable products and services that reach tens of thousands of patients while maintaining the intimacy required for patient care.

Opportunity for growth
As a Series-C-stage, venture-funded company, we're scaling rapidly with support from world-class investors. You’ll have the chance to shape innovative technology while growing your career in a mission-oriented environment.

Social and economic impact
Be part of transforming healthcare by helping patients, providers, and payers. Boulder Care not only improves patient outcomes but also reduces healthcare costs, addressing a $1.5 trillion societal issue tied to opioid addiction.

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

llinois Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Illinois if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Illinois Salary Range: $140,000 - $190,000 (80/20 split)

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Massachusetts Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Massachusetts if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Massachusetts Salary Range: $153,000 - $207,000 (80/20 split)

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Washington D.C. Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Washington D.C. if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Washington D.C. Salary Range: $153,000 - $207,000 (80/20 split)

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Washington Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Washington if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Washington Salary Range: $153,000 - $207,000 (80/20 split)

About the Opportunity

We are hiring a Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.