CircleCI Associate Rotation Program (CARP) — Cohort 2

Ship Smarter. Build Faster. Join the team that makes AI-written code actually work.

AI is writing code. A lot of it. But generating code and shipping reliable software are two very different things, and that gap is exactly where CircleCI lives. We're the CI/CD backbone that ensures AI-generated code gets tested, validated, and deployed safely at scale. If you want to build critical infrastructure at the intersection of AI and DevOps, you've found your people.

What is CARP?

The CircleCI Associate Rotation Program is a 12-month, 2-rotation deep-dive into engineering at a company where AI isn't a buzzword…it's the job! You'll rotate through real teams, own real work, and build real things that engineers at companies like yours use every single day. No coffee runs. No shadowing. Actual building.

You’re not just a builder, you’re an advocate. The future of work includes not just the ability to build alongside AI, but speak to the future among your peers and customers. Your work doesn’t end with your deliverable, it continues with your own feature, data, or product communication and advocacy!

12 months · 2 rotations · 1 career-defining move

Real Work. Real Impact.

Don't take our word for it — here's what Cohort 1 actually shipped:

• GTM & Customer Success: Built an AI enablement framework adopted by our Customer Success org, led cross-functional data alignment sessions at GTM events, and contributed directly to the FY26 account accuracy used by the Sales team.
• Product Engineering: Shipped a customer-facing credit comparison tool — available to users across all plans — that surfaces spending trends across billing periods. Real customers, real usage, from day one.
• Platform Engineering: Defined how CircleCI natively manages iOS code signing certificates, partnering across Engineering, Design, and Product to scope and deliver a foundational capability for mobile CI customers.
• Data & ML Engineering: Built a more reliable AI/ML signal flag that's now driving smarter customer engagement decisions and informing product roadmap prioritization across the org.
• Product Engineering: Shipped production features end-to-end — from implementing nav bar updates to building an entirely new CLI tool (Chunk CLI) that customers use in their workflows today.
• Revenue & Sales Ops: Analyzed historical lost deal data and built an AI-powered pipeline hygiene report that helps sales reps prioritize the deals most likely to convert — from raw data to a tool the Revenue team relies on.

You're the one if...

• You think of AI as a collaborator, not a threat
• You thrive in ambiguity and you see an unclear problem and think "ooh, interesting" not "I'll wait for instructions"
• You move fast, iterate faster, and ask for forgiveness over permission
• You have strong opinions, loosely held and you can defend your ideas in a room full of sharp engineers
• You're a recent grad ready to define what software development looks like in the AI era
• You genuinely love building things and want to see your work used in production, not a slide deck

The Engineering Track

This cohort is built for engineers. You'll rotate across our core technical teams, the folks keeping millions of builds humming and building the AI-native features that are changing how developers work. Here's what your rotation menu looks like:

🏗 Platform Engineering The foundation everything else runs on. You'll work on the systems that handle millions of AI-generated commits at a scale most engineers never get to touch.

• Design and build infrastructure that validates AI-written code at machine speed
• Work on intelligent resource allocation that adapts dynamically to AI workload patterns
• Help make sub-second response times the norm, not the goal
• Debug problems that literally no textbook covers yet

⚙️ Product Engineering Where the user-facing magic gets made. You'll build features that developers interact with every day, powered by AI, designed for speed.

• Build AI-powered features that predict build failures before they blow up
• Create natural language interfaces so developers can configure pipelines through conversation
• Ship seamless integrations with AI coding assistants like Cursor, Copilot, and Claude
• Turn vague product ideas into shipped code fast

📊 Data & ML Engineering Billions of build events. Real-time. You'll build the data systems that surface the insights our customers and product teams can't live without.

• Build pipelines processing billions of AI-generated build events in real time
• Develop ML models that identify patterns in how AI agents write, test, and break code
• Create analytics products that help customers understand their AI-augmented dev velocity
• Turn raw signal into decisions that actually move the needle

We Take AI Fluency Seriously

Not "have you used ChatGPT" seriously. We're talking about engineers who understand AI as a development paradigm, not just a productivity shortcut. Here's what being AI-fluent looks like at CircleCI:

• Use AI tools natively in your workflow — You prompt, iterate, and ship with AI assistance as a default, not an afterthought
• Understand the limitations — You know when AI-generated code needs extra scrutiny and why that matters at scale
• Think about AI as a system actor — You can reason about autonomous agents interacting with DevOps infrastructure
• Stay curious about what's next — The AI landscape changes weekly — you're keeping up, not catching up

What You Get

The Money & Gear

• $105,000 salary
• MacBook Pro + full tech stack access
• Latest AI tool subscriptions, including Cursor, Claude, and whatever comes out next that's worth it
• Health, dental, vision, unlimited PTO, wellness perks

The Growth

• Production AI/ML systems experience (not toy projects, real scale)
• Mentorship from engineers who've been building in this space before it was cool
• A network inside the AI + DevOps ecosystem that will follow you everywhere
• A genuine shot at a full-time role after your rotations wrap up

FAQs

Can I extend my rotation? Yes! During your second rotation, we'll explore whether additional 6-month rotation opportunities make sense for you and the team.

Is there a path to full-time? Absolutely. Based on your contributions and growth, we actively discuss full-time indefinite placement. We want to keep people who want to stay.

Do I have to be in San Francisco? Yes — this is an in-person role. You'll be in our SF headquarters at least Tuesday, Wednesday, and Thursday each week. We believe in the energy of working alongside your team, especially early in your career.

Ready?

By 2030, most code will be AI-generated. The question is who ensures it actually works. That's us. Come build it with us.

Program Dates: August 3, 2026 - July 30, 2027 

Location: San Francisco, CA (in-person; AI still needs humans nearby) 

Application Deadline: June 30, 2026

About Hightouch

Hightouch is the modern AI platform for marketing and growth teams. Our AI agents reimagine marketing workflows, allowing marketers to create content, plan campaigns, and execute strategies with transformational velocity and performance.

Hightouch is a rare company built on the intersection of two fundamental technological shifts: advances in LLMs and agentic AI, and the creation and rapid adoption of cloud data warehouses like Snowflake and Databricks. Building on these tailwinds, we’ve become a leader in AI marketing and partner with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Our team focuses on making a meaningful impact for our customers. We approach challenges with first-principles thinking, move quickly and efficiently, and treat each other with compassion and kindness. We look for team members who are strong communicators, have a growth mindset, and are motivated and persistent in achieving our goals.

About the Role

We are looking for a Staff AI Productivity Engineer to accelerate how our engineering organization works with AI coding tools. This is a hands-on technical role focused on building infrastructure, tooling, and documentation that makes AI agents dramatically more effective across our codebase.

AI tools are evolving rapidly, and we believe the companies that invest in making agents truly productive - not just available - will have a significant advantage. You'll own this problem end-to-end: from setting up cloud development environments where agents can run autonomously, to building MCP integrations that give agents access to our internal systems, to creating the documentation and context that helps agents understand how we build software.

You’ll have the hands-on acumen to do a lot of the heavy lifting yourself and the leadership skills to drive cross-team efforts to raise the bar everywhere. This role is a companion role to our Developer Productivity role but has a distinct focus: while Dev Productivity owns the build/test/deploy pipeline, you'll own the AI-assisted development experience. An exceptional candidate could wear both hats.

Some of the problems we’ll be working on include:

• Own the agentic development environment: Ensure agents can operate in independent cloud-based development environments, execute our full test suites, examine build results visually, etc
• Build our tooling integrations: Build MCP server integrations that connect our agents to the systems needed to build and debug software, such as CircleCI, Slack, Datadog, Github, etc
• Documentation and context: Own our repo-wide agents.md file and work with teams to ensure our library of agent guidance and skills is continually pushing the bar. Ensure our conventions and package structures are exposed in ways that agents can effectively use
• Enablement: Work with our engineers to understand where agents are struggling and address root causes such as better docs, tooling access, etc. Develop tooling for non-engineers to make simple visual updates to our application
• Serve as a “PM” for internal AI agents: Consistently keep us on the leading edge of AI productivity trends by staying abreast of what is state-of-the-art in industry and driving those improvements across Hightouch

We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $320,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation in the form of ISO options, and offer early exercise and a 10 year post-termination exercise window.

About You

You are an engineer with a passion for solving hard technical problems that generate real value for customers. You’re motivated by high ownership and are comfortable in a fast-paced, startup environment.

Must have

• Strong software engineering fundamentals—you can dive into complex backend code and understand it quickly
• Deep hands-on experience with AI coding agents (Claude Code, Cursor, Copilot, Devin, or similar)
• Experience writing effective agent documentation, custom instructions, or context files that meaningfully improved agent output
• Track record of building developer tools or infrastructure that other engineers actually use
• Comfortable working across the stack: you'll touch CI/CD, cloud infrastructure, internal tooling, and application code

Nice to have

• Experience building or contributing to MCP servers or similar agent-tooling integrations
• Background in developer productivity, platform engineering, or developer experience roles
• Experience with our stack: TypeScript/JavaScript monorepos, Go, GraphQL
• You've set up sandboxed or containerized development environments at scale

Interview Process

Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don’t ask you to write code to solve technical brainteasers that don’t appear in your day to day job.

• Apply: Curl jobapi.hightouchdata.com on port 13784 and have followed those instructions before applying. It'll only take a minute!
• Recruiter Screen [30m]: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit
• System Design Screen [45m]: Designing a data processing feature end-to-end
• AI Skills Interview [60m]: We’ll dive into how you leverage AI and how you’ve helped others do the same
• Hiring Manager Interview [45m]: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles
• System Design Interview [90m]: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. As a Staff Software Engineer, you will define and drive both the architectural roadmap and implementation of core platforms and software systems. You will be responsible for providing high-level vision and driving adoption across the engineering org for orchestration, data abstraction, data pipelines, identity & access management, and underlying cloud infrastructure.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

Impact and Responsibilities:

• Architectural Vision: You will drive the design and implementation of foundational systems, acting as a bridge between high-level business goals and technical goals.
• Cross-Functional Leadership: You will collaborate with cross-functional teams to define and drive adoption of the next generation of features for our AI data infrastructure.
• Technical Ownership: You are responsible for proactively identifying and driving opportunities for organizational growth, driving improvements in programming practices, and upgrading the tools that define our development lifecycle.
• Technical Mentorship: You will serve as a subject matter expert, presenting technical information to stakeholders and providing the guidance to elevate the engineering culture across the company.

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialities in back-end systems.
• Extensive experience in software development and a deep understanding of distributed systems and public cloud platforms (AWS preferred).
• Demonstrated a track record of independent ownership and leadership across successful multi-team engineering projects
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc.
• Experience with orchestration platforms, such as Temporal and AWS Step Functions.
• Experience with NoSQL document databases (MongoDB) and structured databases (Postgres).
• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI, ArgoCD).

Nice to haves:

• Experience with data warehouses (Snowflake, Firebolt) and data pipeline/ETL tools (Dagster, dbt).
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

Software is eating the world, but AI is eating software. We live in unprecedented times – AI has the potential to exponentially augment human intelligence. Every person will have a personal tutor, coach, assistant, personal shopper, travel guide, and therapist throughout life. As the world adjusts to this new reality, leading platform companies are scrambling to build LLMs at billion scale, while large enterprises figure out how to add it to their products. To make them safe, aligned and actually useful, these models need human evaluation and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations. This is the main innovation that’s enabled ChatGPT to get such a large headstart among competition.

At Scale, our products include the Generative AI Data Engine, SGP, Donovan, and others that power the most advanced LLMs and generative models in the world through world-class RLHF, human data generation, model evaluation, safety, and alignment. The data we are producing is some of the most important work for how humanity will interact with AI.

At the foundation of these products is the Platform Engineering team. In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems.  You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.

You will:

• Drive the architecture, design, implementation, and reliability of our foundational data platforms and systems, working closely with stakeholders and internal customers to understand and refine requirements.
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Proactively identify opportunities for, and driving improvements to, current programming practices, including process enhancements and tool upgrades.
• Present technical information to teams and stakeholders, providing guidance and insight on development processes and technologies.
• Provide technical leadership, including: upholding and upleveling engineering standards across the organization, mentoring junior engineers. 

Ideally you’d have:

• 8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
• Extensive experience in various database technologies (MongoDB, Postgres), streaming/processing solutions (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and various data query engines (Trino, Presto, Snowflake, etc.).
• Show a track record of mentoring and leading teams in successful projects.
• Possess excellent communication and collaboration skills, and the ability to translate complex technical concepts to non-technical stakeholders.
• Experience working fluently with standard containerization & deployment technologies like Kubernetes and various public cloud offerings.
• Extensive experience in software development and a deep understanding of distributed systems, cloud platforms and data systems.
• Experience driving cross functional collaboration and communication at an organizational or broader level. 

Nice to haves:

• Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
• Experience with performance tuning and cost optimizations of cloud based data platforms. 
• Experience defining a data lifecycle strategy and designing/implementing tooling for data privacy (i.e. GDPR) needs.  
• Experience scaling products at hyper-growth startups.
• Excitement to work with AI technologies.

About Black Forest Labs

We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.

Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.

Why This Role

You'll design, deploy, and maintain the ML infrastructure backbone that makes frontier AI research possible. This isn't abstract systems work—every decision you make directly impacts whether a multi-week training run succeeds, whether inference stays fast enough for production, whether researchers can iterate quickly or wait hours for resources.

What You’ll Work On 

You'll be the person who:

• Designs, deploys, and maintains cloud-based ML training clusters (Slurm) and inference clusters (Kubernetes) that researchers and products depend on
• Implements and manages network-based cloud file systems and blob/S3 storage solutions optimized for ML workloads at scale
• Develops and maintains Infrastructure as Code (IaC) for resource provisioning—because manual configuration doesn't scale and configuration drift breaks things
• Implements and optimizes CI/CD pipelines for ML workflows, making it easy for researchers to go from experiment to production
• Designs and implements custom autoscaling solutions for ML workloads where standard approaches fall short
• Ensures security best practices across the ML infrastructure stack without creating friction that slows down research
• Provides developer-friendly tools and practices that make ML operations efficient—because infrastructure that's hard to use doesn't get used

What We’re Looking For

You've built and managed ML infrastructure at scale and understand that supporting AI research is fundamentally different from traditional cloud infrastructure. You've been paged because a training run failed. You've debugged why storage became the bottleneck. You know the difference between infrastructure that works in demos and infrastructure that works when researchers depend on it for months-long experiments.

You likely have:

• Strong proficiency in cloud platforms (AWS, Azure, or GCP) with focus on ML/AI services—you know which services matter and which are marketing
• Extensive experience with Kubernetes and Slurm cluster management in production environments
• Expertise in Infrastructure as Code tools (Terraform, Ansible, etc.) and the discipline to actually use them
• Proven track record managing and optimizing network-based cloud file systems and object storage for ML workloads
• Experience with CI/CD tools and practices (CircleCI, GitHub Actions, ArgoCD, etc.) in ML contexts
• Strong understanding of security principles and best practices in cloud environments—without making security the enemy of velocity
• Experience with monitoring and observability tools (Prometheus, Grafana, Loki, etc.) that help you understand what's actually happening
• Familiarity with ML workflows and GPU infrastructure management—you understand what researchers need
• Demonstrated ability to handle complex migrations and breaking changes in production environments without losing data or breaking experiments

We'd be especially excited if you:

• Have experience building custom autoscaling solutions for ML workloads that standard tools can't handle
• Bring knowledge of cost optimization strategies for cloud-based ML infrastructure (because GPU hours add up)
• Are familiar with MLOps practices and tools
• Have experience with high-performance computing (HPC) environments
• Understand data versioning and experiment tracking for ML
• Know network optimization techniques for distributed ML training
• Have worked with multi-cloud or hybrid cloud architectures
• Are familiar with container security and vulnerability scanning tools

How We Work Together

We’re a distributed team with real offices that people actually use. Depending on your role, you’ll either join us in Freiburg or SF at least 2 days a week (or one full week every other week), or work remotely with a monthly in-person week to stay connected. We’ll cover reasonable travel costs to make this possible. We think in-person time matters, and we’ve structured things to make it accessible to all. We’ll discuss what this will look like for the role during our interview process.

Everything we do is grounded in four values:

• Obsessed. We are a frontier research lab. The science has to be right, the understanding deep, the product beautiful.
• Low Ego. The work speaks. The best idea wins, no matter who said it. Credit is shared. Nobody is above any task.
• Bold. We take the ambitious bet. We ship, we do not wait for conditions to be perfect.
• Kind. People over politics. We treat each other with genuine warmth. Agency without empathy creates chaos.

If this sounds like work you’d enjoy, we’d love to hear from you.

Base Annual Salary: $180,000–$300,000 USD

We're based in Europe and value depth over noise, collaboration over hero culture, and honest technical conversations over hype. Our models have been downloaded hundreds of millions of times, but we're still a ~50-person team learning what's possible at the edge of generative AI.

About the Role

We are seeking an experienced Senior Engineering Manager, Apple Core to lead the development and maintenance of the shared systems, tools, and pipelines that power our iOS, tvOS, and visionOS applications. This role is pivotal in driving the technical vision, roadmap, and operational excellence of our Apple platform infrastructure. You will lead an accomplished group of engineers focused on scalability, reliability, performance, and developer efficiency — enabling our feature teams to deliver best-in-class experiences to millions of users.

As the Senior Engineering Manager, Apple Core, you will mentor, inspire, and grow the team while ensuring we deliver robust, high-quality infrastructure that supports business goals and technical standards. You will have ownership over platform-wide systems, CI/CD pipelines, monitoring and alerting solutions, and developer tooling. You will be a key contributor to strategic technical decisions and will partner closely with engineering leadership to shape the future of our Apple ecosystem.

This is a hybrid position and we are considering applicants for the location(s) of Los Angeles, CA or San Francisco, CA. You will report to the Director of Engineering, Apple and Android Platforms.

Responsibilities

• Run the day-to-day operations of the infrastructure engineering team and manage agile ceremonies such as grooming, sprint planning, daily stand-ups, and retrospectives.
• Lead and mentor a team of engineers to adopt and maintain best practices, platform architecture standards, and scalable infrastructure solutions, fostering a collaborative work environment.
• Define and execute the roadmap for shared Apple platform infrastructure, ensuring alignment with business objectives and the needs of dependent feature teams.
• Work closely with stakeholders and cross-functional teams to gather requirements, prioritize improvements, and communicate project progress and operational updates.
• Manage project timelines, resource allocation, and budgeting to ensure delivery of infrastructure initiatives.
• Implement and maintain CI/CD pipelines, automated testing frameworks, and performance monitoring solutions to optimize development velocity and product stability.
• Drive operational excellence by managing system incidents, performing root cause analyses, and implementing long-term preventative measures.
• Monitor system performance, identify bottlenecks, and lead performance optimization efforts across the Apple platform stack.
• Conduct regular one-to-one meetings with team members to provide feedback, support career development, and maintain high team morale and productivity.
• Lead hiring and onboarding efforts to attract top infrastructure talent and expand the team's capabilities.

Key Qualifications

• Proven experience managing infrastructure or platform engineering teams, preferably in the Apple ecosystem (iOS, tvOS, visionOS).
• Strong technical background in CI/CD tooling (e.g., Jenkins, GitHub Actions, Bitrise, CircleCI) and automation best practices.
• Hands-on experience with build systems, dependency management, and artifact distribution for Apple platforms (e.g., Xcode Cloud, Fastlane, xcframeworks).
• Proficiency with monitoring and observability tools (e.g., Datadog, New Relic, Grafana, Prometheus) and alerting best practices.
• Deep understanding of performance profiling, crash reporting, and optimization strategies for Apple applications.
• Strong incident management skills, including root cause analysis and postmortem facilitation.
• A track record of mentoring and developing engineering talent.
• Exceptional communication skills for collaborating with technical and non-technical stakeholders.
• Familiarity with modern agile practices and a track record of delivering infrastructure initiatives on time and within budget.

Why you will love working at Crunchyroll

In addition to getting to work with fun, passionate and inspired colleagues, you will also enjoy the following benefits and perks:

#LifeAtCrunchyroll #LI-Hybrid

Every line of code that ships at Mercury passes through a gauntlet of builds, tests, and gates before it reaches our customers. On the surface, that process should feel seamless — frictionless for engineers, undetectable to users, and impossibly reliable. Behind that invisibility is Release Engineering.

Mercury moves fast. We ship frequently, our monorepo grows daily, and the pressure to do it right never lets up. Release Engineering is the team that makes this possible: owning the CI/CD platform, build infrastructure, deployment tooling, and the practices that let 400+ engineers deliver with confidence.

We're looking for an Engineering Manager to lead this team. You'll partner with the Backend Developer Experience team to deliver the full software delivery lifecycle from code commit to production, and build the engineering culture that keeps our release process a competitive advantage rather than a bottleneck.

In this role you will:

• Lead and grow a team of four engineers focused on CI/CD infrastructure, build systems, deployment automation, and developer tooling.
• Create a strong culture of operational excellence, with measurable improvements to pipeline reliability, build times, and deployment confidence.
• Own Mercury's release pipeline end-to-end — from pull request merge to production — ensuring it is fast, reliable, observable, and secure.
• Drive the strategy and execution for improving build performance, test reliability, deployment safety (canaries, feature flags, rollbacks), and developer velocity.
• Partner closely with Platform, Security, and Product Engineering teams to design and deliver systems that meet the demands of a rapidly scaling fintech.
• Establish and evangelize release engineering best practices across Mercury's engineering org — defining standards for deployment frequency, change failure rate, and MTTR.
• Balance long-term platform investments with the day-to-day reliability needs of 400+ engineers shipping code every day.
• Build and maintain tooling that enforces compliance checkpoints and audit trails as part of the release pipeline — without slowing teams down.
• Hire, mentor, and retain top-tier engineers; help them grow into technical leads and raise the overall bar for the team.

You should have:

• 7+ years of software engineering experience, including 4+ years managing engineering teams in high-growth or high-availability environments.
• Deep hands-on experience with CI/CD systems (e.g., Buildkite, GitHub Actions, Jenkins, CircleCI) and the infrastructure that supports them.
• Strong background in build systems (Bazel, Buck2), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Pulumi, or similar).
• A track record of meaningfully improving release velocity and reliability — you measure what matters and use data to drive decisions.
• Experience operating in regulated or security-sensitive environments, ideally fintech, payments, or banking.
• Excellent cross-functional communication skills — you can translate between engineering depth and business impact, and you partner effectively with Security, Compliance, and Product leaders.
• A pragmatic philosophy: you believe release infrastructure should be a force multiplier for product engineers, not a bureaucratic hurdle.
• The ability to attract, develop, and retain exceptional talent — you take hiring and team development seriously.

What Success Looks Like:

In your first 90 days, you've developed deep context on Mercury's release infrastructure, built trust with your team, and identified the highest-leverage opportunities to improve pipeline performance and developer experience.

Within six months, you've shipped meaningful improvements to build reliability, deployment speed, or observability — and your team has a clear roadmap for the next year.

Over time, you've made Mercury's release process a model for how fintech companies can move fast without breaking things.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a job candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. 

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $239,000 - 298,800
• Canadian employees (any location): CAD $225,900 - 282,400

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here.

Mercury is a financial technology company, not a bank. Banking services provided by Choice Financial Group, Column N.A., and Evolve Bank & Trust; Members FDIC.

[Please see the independent bias audit report covering our use of Covey for more information.] 

#LI-ME1

We’re looking for a Software Engineer in Test who thrives in fast-moving, high-intensity environments and enjoys turning ambiguous problems into reliable, scalable systems. In this role, you’ll go beyond traditional QA—fine tuning test infrastructure, tooling, and processes that directly accelerate engineering velocity and product quality.

What You’ll Do

• Refine and evolve testing infrastructure and tooling that enables engineers to ship high-quality features at scale
• Design, implement, and maintain automated testing systems 
• Create internal tools that improve developer productivity and shorten iteration cycles
• Partner closely with DevOps to optimize test execution and reliability within CI/CD pipelines
• Drive best practices in testing, observability, and release confidence across the engineering org

What We’re Looking For

• • 3-5 years experience scaling test frameworks, infrastructure, or developer tooling
  • Proficiency in TypeScript and/or Python
  • Experience with CI/CD systems such as CircleCI, Buildkite, or similar tools
  • Ability to operate in ambiguous environments and bring structure to complex problems
  • A systems mindset—you think in terms of reliability, scalability, and long-term maintainability

Why Snorkel AI

• Work at the forefront of AI development and evaluation
• Collaborate with top AI labs and innovative enterprise teams
• Build systems that directly impact how cutting-edge AI is developed and deployed

Overview

We are seeking a QA Automation Engineer to own the quality engineering function end-to-end. In this role, you will be responsible for designing automation frameworks, setting standards, and embedding quality into every step of the development lifecycle. As a core member of the team, you will not be a seat at the back of the sprint, but will work closely with engineers, product, and design to ship reliable, production-grade Web3 experiences. Mesh is a global company with headquarters in San Francisco, California USA. This candidate will work closely with the Engineering and Product teams spread across North America, Europe and India.

What You'll Do

• Architect, build, and maintain robust end-to-end test automation frameworks using tools like Playwright.
• Design test strategies that cover the full stack: UI, API, smart contract interactions, and wallet flows
• Write and maintain tests for Web3-specific user journeys including wallet connection, transaction signing, contract interactions, and on-chain state verification
• Integrate automated test suites into CI/CD pipelines and own the health of those pipelines
• Leverage AI-powered development tools (Copilot, Cursor, Claude, etc.) to accelerate test authoring and framework development, and bring strong opinions on how to do this well
• Identify gaps in test coverage, prioritize ruthlessly, and drive continuous improvement
• Champion quality culture across the engineering org
• Stay ahead of the curve on new testing tools, frameworks, and Web3 ecosystem shifts

Who You Are

Automation Expertise

• 7+ years of experience in QA engineering with a strong focus on automation
• Deep hands-on experience with Playwright and/or Cypress; familiarity with others (WebdriverIO, Selenium, Puppeteer) is a plus
• Proficiency in at least one scripting/programming language (TypeScript, JavaScript, Python)
• Experience designing and scaling test frameworks from the ground up, not just maintaining existing ones
• Strong understanding of CI/CD practices and integrating tests into pipelines (GitHub Actions, CircleCI, etc.)

Web3 Knowledge

• Working knowledge of core Web3 concepts: wallets (MetaMask, WalletConnect), transaction signing, smart contracts, gas, RPC endpoints, and on-chain/off-chain interactions
• Experience testing dApps and writing tests that interact with or simulate blockchain state
• Familiarity with testnets or mocking Web3 providers is a strong plus

AI-First Mindset

• Active, hands-on user of AI code generation and developer tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT)
• You have real opinions on where these tools shine and where they fall short - you've found the edges
• You use AI to move faster without sacrificing rigor, and you can teach others to do the same

The Right Mentality

• Self-starter who identifies problems and drives solutions without waiting to be asked
• Comfortable with ambiguity and able to operate effectively in a fast-paced, resource-constrained startup environment
• Curious by default, you read release notes, follow ecosystem developments, and enjoy going deep on new tools and technologies
• Clear communicator who can translate quality risk into terms the whole team understands

Nice to Have

• Prior experience at an early-stage or growth-stage startup
• Exposure to performance, load, or security testing in Web3 contexts
• Contributions to open-source testing tools or frameworks
• Familiarity with blockchain explorers, event indexing, or subgraph testing

The annual base salary range for this role is $100,000-$200,000 in San Francisco and New York. The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate’s experience, skills, qualifications, and geographic location. For candidates outside of San Francisco and New York, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.

The Team You’ll Work With

You'll join our Developer Experience (DevEx) team, a lean "Special Ops" unit within Carta's Infrastructure organization. Our North Star: remove friction from every step of the software delivery lifecycle so Carta's engineers can do the best work of their careers.

We own CI/CD infrastructure, GitHub governance across 500+ repos, the rollout of AI coding tools across our company, and the internal tooling layer that lets Carta move fast without breaking things. We are systems thinkers who measure everything, because you can't optimize what you don't understand.

Carta is making a company-wide bet on AI-native development, and DevEx is the team defining how that happens. Six months from now, the playbook will be written. Now is when you get to write it.

The Problems You’ll Solve

As a Senior Software Engineer II on DevEx, you will:

• Build the MCP servers, agents, and plugin infrastructure that Carta's AI native development runs on, and define the patterns other engineers follow
• Design and ship agents purpose-built to solve specific developer problems across the software delivery lifecycle
• Architect and drive CI/CD pipelines that automate build, test, and deployment to accelerate delivery across R&D
• Build the infrastructure AI tooling runs on, so other engineers can build on top of it with confidence
• Mentor engineers and raise the technical bar through code reviews and architectural guidance

About You

• Experience: 8+ years in platform, backend, or fullstack engineering
• AI Builder: You've shipped production LLM systems, whether that's MCP servers or clients, AI extensions, connectors, or agents designed to solve real problems, not just demos
• Platform Mindset: You build things other engineers build on top of and think about APIs and developer ergonomics as seriously as performance
• Tech Stack: Python or Java; CI/CD tooling (CircleCI, GitHub Actions,  ArgoCD, Jenkins, Docker); cloud-native (AWS, Terraform, Kubernetes); familiarity with secrets management tooling (Vault, Cloudsmith) is a plus
• Security Aware: You think about least-privilege, token lifecycle, and supply chain risks when designing developer tooling, not just after an incident
• Execution: You break down ambiguous problems and deliver with minimal guidance, bringing data to debates and owning outcomes end-to-end

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our minimum cash compensation (salary + commission if applicable) range for this role is: 

• $212,500 - $250,000 in Santa Clara, CA; San Francisco, CA; New York, NY

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

Java Developer 

We’re looking for a Java Developer to design, build, and scale backend services that power our products and internal platforms. You’ll work closely with product, design, and data to ship reliable features, improve performance, and raise our engineering bar.

About the role

• Build and operate backend services and REST APIs in Java (preferably Java 17+) using Spring Boot.

• Contribute across the lifecycle: discovery, technical design, implementation, testing, deployment, and support.

• Improve reliability, security, and observability as part of how we build — not as an afterthought.

What you’ll do

• Design, implement, and maintain microservices and REST APIs with Spring Boot.

• Write clean, maintainable, and well-tested code (JUnit 5, Mockito), and review peers’ code for quality and clarity.

• Model data and optimize queries in SQL (PostgreSQL/MySQL); leverage caching (e.g., Redis) for performance.

• Build event-driven features using messaging (e.g., Kafka or RabbitMQ) where it fits the problem.

• Instrument services with logs, metrics, and traces (OpenTelemetry/Prometheus/Grafana) and resolve production issues with data.

• Apply secure-by-default practices (OAuth2/OIDC, secrets management, OWASP Top 10 mitigations).

• Automate builds and releases via CI/CD (GitHub Actions/Jenkins/CircleCI); containerize with Docker and deploy to Kubernetes.

• Partner with product and design to refine requirements and break down work into iterative deliveries.

• Author and review concise technical design docs; participate in architecture discussions.

• Take ownership of services in production, including participating in on-call rotations where applicable.

What you’ll bring

• Proficiency in Java and the Spring ecosystem (Spring Boot, Spring Data, Spring Security).

• Hands-on experience building and operating microservices and REST APIs in production.

• Strong grasp of relational data modeling and SQL; familiarity with performance tuning.

• Working knowledge of cloud platforms (AWS/GCP/Azure) and basic infrastructure concepts.

• Confidence with Git workflows, code reviews, and trunk- or GitFlow-based development.

• Solid testing practices: unit, integration, and contract testing; comfort with test automation.

• Clear communication, collaborative approach, and a practical mindset focused on outcomes.

Nice to have

• Event-driven architecture with Kafka; stream processing patterns.

• Domain-driven design (DDD) and pragmatic service boundaries.

• Deeper observability (SLOs, RED/Golden signals, alert design) and production readiness checklists.

• Security fundamentals: OAuth2, JWT, mTLS, and dependency vulnerability management.

• Kubernetes operations, Helm, and infrastructure-as-code (e.g., Terraform).

• Experience with feature flags, gradual rollouts, and experimentation.

• Exposure to GraphQL or gRPC; basic scripting in Python/Go for tooling.

How we work

• Lightweight Agile with two-week sprints, async-friendly communication, and written decision records (RFCs).

• Ship iteratively behind feature flags; measure impact and learn quickly.

• Remote-friendly collaboration with clear ownership and frequent demos.

What success looks like (30/60/90)

• 30 days: Local dev environment set up. Shipped a small change. Contributed to code reviews and on-call shadowing.

• 60 days: Delivered an end-to-end feature. Improved tests and observability for a service you touch.

• 90 days: Led a scoped design/RFC. Reduced toil or improved performance/reliability on a critical path.

Qualifications

• Typically 3+ years of professional experience (or equivalent proficiency) building backend services with Java and Spring Boot.

• Demonstrated experience owning services in production.

Location and work arrangement

• Open to [Remote/Hybrid/Onsite]. Working hours aligned to [Time Zone/Region]. Some team ceremonies may fall within core hours.

Compensation and benefits

• Base salary range: Senior Level / $120-$150k.

• Equity/bonus: [If applicable].

• Benefits: [Healthcare, retirement, paid time off, parental leave, learning budget, home office stipend, etc.].

Interview process

• Recruiter screen (role fit, logistics).

• Hiring manager conversation (experience, collaboration, delivery).

• Technical deep dive (Java/Spring, APIs, data modeling).

• Systems design interview (architecture, trade-offs, scalability).

• Team panel and values interview.

• Offer and references.

Equal opportunity

We’re an equal opportunity employer. We welcome applicants from all backgrounds and do not discriminate on the basis of any protected characteristic. If you need a reasonable accommodation during the application or interview process, please let us know.

Product Design Manager

Overview of Position

We're looking for a Product Design Manager to lead our UX team at CircleCI. Our company is in the middle of a significant platform evolution - rethinking core workflows, investing in design and design systems, and figuring out what it means to build a high-performing design team in the age of AI. It's a genuinely interesting time to shape the practice here. If you're energized by the idea of shaping both the craft and the people behind a product used by over a million builds a day, while also staying close to the pixels yourself, this role will be a great fit. This is a 50/50 player/coach role - you'll manage and grow a talented team while also rolling up your sleeves to lead design work on a few of our most important product areas. You'll report into our head of design, and partner closely with Product, Engineering, Visual Design, and Research to define what the CircleCI experience looks and feels like next.

Overview of the Team

The Product Design team at CircleCI owns the end-to-end experience developers have with our CI/CD platform - from first build to scaling across an engineering org. The team today is a mix of Senior, Staff, and Product Designers primarily in San Francisco, and a few in Canada. We partner deeply with Product and Engineering, use research and data to ground our decisions, and care a lot about both craft and velocity. We believe great design at a developer tools company comes from people who genuinely want to understand how engineers work, and who treat design as a team sport.

What You'll Do

• Lead and grow the team - coach them in their craft, support their career growth, run thoughtful 1:1s and design crits, and build a design culture that's collaborative, inclusive, and high-performing
• Lead design directly on strategically important product areas - shipping real work, not just reviewing it - and setting the bar for craft and quality across the team
• Develop a point of view on AI-powered design tooling - evaluating what's emerging across designing in both pixels and code, rapid prototyping, and experimentation - so that the team can make smart bets on what to adopt
• Bring the team along on AI fluency - setting clear expectations, building shared practices, and creating space for experimentation so the team is multiplying their impact with the best available tools
• Establish and optimize design processes, partnering with visual and product designers across the org to make sure we're working efficiently and shipping consistent, high-quality experiences
• Lead and evolve the design system - improving components and guidelines, defining a governance model that balances quality with speed, and establishing clear contribution and consumption patterns for both human designers and AI-assisted workflows

What We're Looking For

• Experience managing a team of product designers while remaining hands-on with design work yourself - you genuinely enjoy both sides of the player/coach role
• Strong product design fundamentals with a portfolio that shows work on complex, technical, or developer-facing products; comfort designing for power users and nuanced workflows
• Familiarity with the software development lifecycle and the ecosystem around it — CI/CD, version control, CLIs, APIs, and the workflows that connect them. You don't need to be an engineer, but you should be curious about how developers work and have designed for (or around) these kinds of tools before.
• Active, thoughtful use of AI in your own design practice - you've already been experimenting with tools like AI-assisted prototyping and production-ready coding, and you have a point of view on where they help and where they don't. You're excited to bring the team along and set expectations that AI fluency is part of the job
• Proven experience building or evolving design systems - not just maintaining a component library, but defining governance, contribution models, and the operational rhythms (rituals, rubrics, processes) that let a design team scale
• Excellent collaboration and communication skills - you partner effectively with Product and Engineering leaders, give direct and kind feedback, and create space for a diverse team to do their best work

Senior Product Engineer 

Engineering

 Prolific

Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI development. In a world where foundational AI technologies are increasingly commoditized, it's the quality and diversity of human-generated data that truly differentiates products and models.

The role

We’re looking for impact-focused Software Generalists to join our specialized team focused on serving frontier model creators and enterprise AI application developers. As a full-stack engineer, you will work across Prolific’s domains to solve customer and product problems.

This is an exciting opportunity to work directly with frontier AI companies, making critical technical decisions that balance scrappy startup execution with scalable, reliable engineering, as Prolific revolutionizes research for the AI community. You'll will have regular in person collaboration with customers and our US team, as well as collaborate closely with our UK-based tech teams.

This role is hybrid based out of our San Francisco office, approx 1-2 days a week.

What you’ll bring to the role

• Over 4 years of experience in a product engineering role
• Can translate business concepts into software models
• Ability to quickly learn and adapt across the breadth of Prolific’s domains
• Familiar working in both monoliths and distributed systems
• Strong communication and collaboration skills for direct customer interaction
• Good understanding of modern web applications and architecture design patterns
• Experience supporting applications in production environments
• Judgment to balance scrappy startup execution with scalable, reliable engineering
• Comfort with rapid iteration and responding to customer queries with urgency
• Experience with some of our technology stack:
  • Python (we use Django & Fast API)
  • TypeScript and JavaScript (we use Vue.js)
  • SQL and NoSQL databases (we use MongoDB and PostgresSQL)
  • Building and deploying to the cloud (we use GCP, Kubernetees, Github Actions & CircleCI)
  • Instrumenting, monitoring & observability (we use Datadog)

What you’ll be doing in the role 

This is a unique engineering role at Prolific.

In this role, you will operate with high ownership and a product mindset, at start-up pace, to solve customer problems and capture business opportunities irrespective of the technology required to do so.

You will be part of a cross-functional Product Engineering team, optimised for the success of a single customer group. You will collaborate directly with account managers, customer success specialists and customers to deeply understand their problem spaces. You will ideate and build with autonomy, supported by a high-performing team.

This role will see you work across Prolific domains to solve customer problems, needing you to get up to speed quickly and deliver across shared codebases to a high engineering standard. You will also help support our systems in production & respond to incidents when required.

Key Technologies 

• Cloud Platforms: Google Cloud Platform and AWS
• Programming Languages: Python, JavaScript, and TypeScript
• Frameworks: Vue.js, Django Rest Framework, Container-based and Serverless architectures
• Databases: MongoDB and DynamoDB
• DevOps and Monitoring: CircleCI, GitHub Actions, Kubernetes, Celery, EventBridge and DataDog

Why Prolific is a great place to work

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioral data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviors into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breath and the best of humanity.

Join us to enjoy a competitive salary, benefits, and remote working within our impactful, mission-driven culture. At Prolific, our compensation packages for eligible roles include base salary, equity, and benefits. Many roles also include the opportunity to earn a cash variable element, such as a bonus or commission. Each job posting shows a salary range that reflects the minimum and maximum target for new hires, based on the role’s location as well as your skills, experience, and relevant education or training. You can check the job posting’s subtitle to see where the position is based. Your recruiter will also be happy to share the specific salary range for your preferred location during the hiring process.

For pay transparency, the base salary range for this full-time role in San Francisco is $200,000 - $250,000 per annum.

Links to more information on Prolific

Benefits 

External Handbook 

Website 

Youtube 

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

Location: United States (remote)

What is Verse? 

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world’s largest energy buyers, managing energy has never been more complex or more critical.

Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

You will be a member of the technical staff designing, building, and maintaining the next generation of platform and infrastructure surfaces at Verse. This role supports Core Engineering needs within the organization and builds on top of existing engineering foundations such as observability, system reliability, developer productivity, identity management and role-based access controls, authorization and authentication middleware, security, and related data and control planes. You will drive the implementation of our high availability roadmap and enhance our cloud-native service-oriented architecture. Your expertise will bolster the efficiency and scalability of workloads within our cloud environment, ensuring that our development teams can build software effectively and operate reliably. You enjoy working on data solutions (however big or small) and may collaborate closely with our data engineers.

Key Responsibilities

• Foster a culture and mindset of system reliability engineering, test-driven software, and proactive communication with a high degree of transparency, mutual respect, and consideration for teammates
• Design, implement, and manage scalable, resilient infrastructure across cloud-based and third-party services on which our product engineering teams depend
• Troubleshoot and enhance system reliability, performance and security to meet the evolving needs of the business
• Build and maintain deployment automation, observability, monitoring, and alerting tools across teams
• Automate infrastructure provisioning and scaling to improve system efficiency and reduce manual intervention
• Develop, configure, and maintain various data and CI/CD pipelines to ensure smooth and reliable data flow and application deployments
• Maintain and enhance source control management and operations
• Build developer tools and contribute to the adoption of new technologies aimed at improving developer productivity and operational efficiency

What We're Looking For (Minimum Qualifications)

• Hands-on experience working with identity management platforms and auth services (e.g. Clerk, Auth0, AWS Cognito, Google Identity Platform, Microsoft Entra) and designing, building, and maintaining middleware components integrated with these systems for frontend and backend developers
• Strong understanding of system architecture, networking, and security principles.
• Commitment to delivering high quality software on time or ahead of schedule while adhering to best software development practices
• Continuous obsession for staying informed on contemporary technologies, tools, libraries, services, frameworks, or breakthroughs that could benefit the team
• Discipline using generative AI tools in day-to-day work

What Will Make You Standout (Preferred Qualifications)

• Bachelor’s degree or higher, ideally in Computer Science or some STEM related field
• Senior or Staff level software development talent and up
• Proven track record being a technical leader in high-performing core engineering teams
• Advanced software programming skills in systems languages (we use Go heavily)
• Hands-on experience with Google Cloud Platform (or similar cloud providers) and its various services
• Knowledge of workload orchestration frameworks such as Kubernetes or Temporal, and data orchestration frameworks such as Dagster
• Experience with infrastructure as code (IaC) tools and practices (e.g. Terraform, Pulumi, Checkly, etc.)
• Advanced programming skills in systems languages (we use Go heavily), scripting runtimes (e.g. Python, Bash), and configuration languages (e.g. JSON, YAML, HCL)
• Familiarity with the gRPC + Protocol Buffer ecosystem (we use Buf’s Connect SDK)
• Experience building and maintaining complex CI/CD configurations in frameworks such as CircleCI, GitHub Workflows Jenkins, Travis
• Proficiency with multi-application build tools such as Bazel
• Experience deploying internet security solutions across engineering and non-engineering teams to protect employee resources

What Makes Verse a Great Place to Work? 

• Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
• Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
• Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
• Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$180,000 - $250,000+

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to level, skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks 

• Competitive compensation and equity grant at a high-growth start up 
• Comprehensive benefits package including medical, dental and vision insurance, and 401k 
• Flexible hours and unlimited PTO 
• Diverse and inclusive working environment 

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.

As a Senior Backend Engineer at Snorkel, you will deliver robust features that power our Expert Contributor (EC) Platform. You will have full ownership and responsibility for building, shipping, and maintaining innovative, scalable services and complex features as well as building and maintaining integrations with various vendors. Your work will bridge the gap between human expertise and machine learning by enabling domain experts to provide high-signal data for training and refining state-of-the-art models.

Main Responsibilities

• Design and develop mission-critical systems for the end-to-end Expert Contributor (EC) lifecycle, focusing on automated onboarding workflows, performance management, and contributor retention.
• Build robust features and integrations with key third-party services, including platforms for assessments and Employer of Record systems.
• Automate supply and allocation logic to efficiently manage and deploy a high volume of ECs to various data collection projects, ensuring optimal coverage and quality.
• Prototype, optimize, and maintain scalable services to power complex data user management pipelines.
• Set the strategy and architecture for build systems, testing frameworks, and CI/CD pipelines.
• Lead the transition from scheduled releases to a robust, automated continuous deployment framework, taking end-to-end ownership of the release pipeline.
• Build proactively with empathy for both customers and subject matter experts using our tools.
• Collaborate with engineers to bring consistency and high standards to codebases, infrastructure, and processes.
• Engage with product managers, designers, and ML experts to create a phenomenal user experience for data acquisition and refinement.

Qualifications

• 8+ years of software engineering experience
• 6+ years of professional experience developing performant, intuitive, and scalable web application architectures.
• Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred).
• Expertise designing REST for internal services and developers.
• Experience developing and shipping enterprise software products, specifically those focused on data collection, annotation, or machine learning applications.
• Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact.
• Comfortable working with:
• Infra & deployment technologies: Terraform, Docker, Kubernetes.
• CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm.
• Ability to work in a fast-paced environment with strong technical communication skills.
• Self-motivation, a positive mental attitude, and an eagerness to learn in the rapidly evolving AI landscape.

Nice to Have

• Experience in hyper-growth startup environments or scaling engineering orgs.
• Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
• Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.

Work Schedule

• Work a hybrid schedule with three days per week in our Redwood City HQ or the SF office.

Support Engineer

As a Support Engineer, you will provide first-class post-sales technical leadership to our client base. Working directly with customers, Support Engineers are the authority on the CircleCI platform, continuous integration, and deployment practices. Finally, as part of the Customer Engineering organisation, you will have the opportunity to work directly with our Product Management, Engineering, Customer Success, and Marketing teams to share knowledge and experiences, and will act as the Voice of the Customer to help drive improvements that will ensure our customers' success with CircleCI.

You will be the main point of contact for technical questions and requests for assistance that our customers register in our support ticketing system. You will work with the rest of the Support team to build out and cultivate our support operations, and help to establish a customer community to improve the experience of our customers. For this job you will need to have a strong technical capability along with a strong self-starting, dedicated mentality and the ability to maintain empathy for customers. You're going to be dealing with very technical users and complex issues, but you're also tasked with creating excitement and loyalty in the customers you interact with.

About Customer Engineering at CircleCI

CircleCI's Customer Engineering and Success organization's goal is to make life easier for our customers and leave them with the "wow" experience of building and testing their applications with ease. Customer Engineering works with customers to understand their technical and business needs and requirements — from onboarding to implementation to scale. We are comprised of Technical Success Managers and Support Engineering (post-sales ticket based support for Enterprise customers). There is an opportunity for both horizontal and vertical growth, and promotion within Customer Engineering and the CircleCI organization!

What you'll do:

• Work closely with your team and our customers to help them resolve tickets on the product
• Be creative and resourceful in solving customer technical problems and answering customer questions
• Utilize generative AI to develop customer work arounds, product improvements, and content
• Build standard methodologies for technical troubleshooting across different technologies, and author Knowledge Articles that contribute to our self-serve support portal
• Be the customer's voice and use customer feedback to help Product and Engineering improve the product
• Become a champion of the CircleCI solution
• Participate in on-call rotation

What we're looking for:

• 2+ years of technical product support or engineering or equivalent experience
• Understanding of AI prompt engineering and the usage of AI tools to solve real life problems
• Experience working directly with end-users to debug common errors
• Ability to tie business problems to technical solutions and understand technology value propositions
• A decent amount of time using and scripting *nix
• Familiarity with Git in general and ideally GitHub in particular
• A belief in that the best way for all to succeed is to honestly discuss product and company abilities and limitations with customers. We don't oversell at CircleCI
• Strong ops/infrastructure knowledge, especially networking and security
• Great relationship building skills and a good people person
• Work experience in distributed support operations, collaborating with peers in different geographies
• Outstanding written and oral interpersonal skills

Additional great skills to have!

• Experience with build, test, and deployment automation, either as a practitioner or in a customer-facing role
• Experience using AI to generate and improve code in production environments
• Ability to fix networking issues that may prevent communication between different components
• Knowledge of Docker or Linux containers in general
• Knowledge of Kubernetes in general
• Knowledge of iOS application testing and code signing
• Experience using and automating a major IaaS like AWS, GCP, or Azure
• Familiarity with deploying and debugging distributed systems

We know there's no such thing as a "perfect" candidate - we're all a work in progress and are growing new skills and capabilities all the time. CircleCI welcomes those passionate about learning and evolving, so however you identify and whatever your background, if this looks like a role where you could do your best work, we hope you'll apply.

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

At Klaviyo, the ARIA (Applications, Resources, Intelligence, and Automations) team is building the AI systems that transform how our employees work. We are looking for a Senior AI Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools from the ground up. This role sits at the intersection of applied AI research and full-stack software engineering. You will own everything from LLM integration architecture and RAG system design to CI/CD pipeline management and production observability. If you want to build AI that real people use at scale every day, this is the role for you.

You will report into the Director of AI and App Engineering and ….

How you’ll make a difference:

• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.

Who you are: 

• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

As a Senior Solutions Engineer at CircleCI you will be the customer’s trusted technical advisor throughout the sales and retention lifecycle. You’ll provide hands-on advice for cloud-based and single tenant deployment and product guidance with CircleCI’s largest prospects and customers. You will serve as the technical expert and owner of deal validation strategy, collaborating with account executives and success managers to identify customer business goals, needs, and pains and showing how CircleCI can address them.

What You’ll Do

• Lead the technical implementation and day-to-day management of CircleCI Demonstrations and proof-of-concepts.
• Demonstrate the technical feasibility , integrated into our customer’s technology stack, ensuring early customer success and a long-term business relationship.
• Serve as a technical advisor and subject matter expert for customers, offering guidance on product implementation, adoption, and best practices.
• Conduct in-depth analysis of customer use cases, identify opportunities for product optimization, and provide feedback to internal teams for improvements.
• Support strategic planning conversations with customer executives; connecting software delivery challenges with corporate objectives, articulating their full business impact.
• Lead technical discussions with enterprise clients,  addressing complex issues, customizations, and integrations to meet customer-specific requirements.
• Develop and deliver technical training sessions, workshops, and documentation to empower customers to maximize the value of CircleCI products.
• Stay up-to-date on industry trends, product updates, and emerging technologies to continuously enhance your technical knowledge and customer support capabilities.

What We’re Looking For

• 5-10 years experience as an engineer in the application development, devops, or CI/CD space.
• Extensive experience with solutions selling in a technical customer-facing role, such as Sales Engineer, Solutions Engineer, Customer Success Engineer, or similar position, preferably in a SaaS or software development environment.
• Strong proficiency in CI/CD concepts, DevOps practices, software configuration, and scripting languages like Python, Shell, etc..
• Knowledge of Docker or Linux containers in general.
• Outstanding presentation skills. You feel comfortable leading presentations and demos of our platform to groups, both technical and non-technical, in-person and virtually.
• Proven track record of engaging with enterprise clients, understanding their technical requirements, and delivering solutions that drive customer success.
• Ability to work collaboratively with cross-functional teams, Sales, Product, and Engineering, to advocate for customer needs and provide valuable insights for product enhancement.

Ideal Candidates might also have:

• Experience developing mobile applications across iOS and Android devices. 
• Strong ops/infrastructure knowledge, especially networking and security.

About CircleCI

CircleCI is the world’s largest shared continuous integration/continuous delivery (CI/CD) platform, and the hub where code moves from idea to delivery. As one of the most-used DevOps tools - processing more than 1 million builds a day - CircleCI has unique access to data on how engineering teams work, and how their code runs. Companies like Spotify, Coinbase, and BuzzFeed use us to improve engineering team productivity, release better products, and get to market faster.

Founded in 2011 and headquartered in downtown San Francisco with a global, remote workforce, CircleCI is venture-backed by Base10, Greenspring Associates, Eleven Prime, IVP, Sapphire Ventures, Top Tier Capital Partners, Baseline Ventures, Threshold Ventures, Scale Venture Partners, Owl Rock Capital, Next Equity Partners, Heavybit and Harrison Metal Capital.

CircleCI is an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local law.

About the Team

Platform Engineering is a family of teams focused on creating and supporting the tools used by all Application and Service Developers at Stitch Fix. We focus on creating low friction tools and practices to maximize developer happiness. We believe happy developers write better code. We practice modern platform practices like Infrastructure-as-Code, Immutable Infrastructure, use of Containers, and leverage AWS as well as many other Cloud SaaS offerings.

About the Role

As a Platform Engineer, you will contribute to building and improving Stitch Fix’s cloud-native infrastructure and internal developer tooling. You’ll work on tools and automation that help product engineers deploy, operate, and debug services more easily, while learning modern platform engineering practices alongside experienced teammates. This role is ideal for engineers who enjoy improving developer experience and want to grow their skills in cloud infrastructure and CI/CD systems.

You're excited about this opportunity because you will…

• Contribute to the development and evolution of our internal platform-as-a-service used by application and service developers
• Build and maintain tooling that improves developer workflows, deployment reliability, and day-to-day productivity
• Collaborate with platform and application engineers to identify friction points and implement incremental improvements
• Learn and apply best practices around Infrastructure-as-Code, containerized workloads, and CI/CD pipelines
• Use, or are eager to adopt, AI-assisted development tools to improve productivity, and are excited to help explore and integrate LLM-powered solutions that automate internal support and operational workflows
• Have opportunities to propose ideas and improvements, with support and mentorship from the team

We’re excited about you because…

• Have 2+ years of software development and infrastructure experience with significant contributions
• Have experience with AWS or other cloud-based providers
• Have experience with container orchestration, CI/CD, or production observability (deep expertise not required)
• Enjoy debugging systems, understanding how things work, and improving reliability over time
• Can break down problems and implement solutions with guidance
• Have strong developer empathy and care about improving the developer experience

Our Tech Stack Includes…

Things you'll get exposure to (and we don't expect experience with everything):

• AWS
• Terraform, Pulumi
• CircleCI
• Docker, ECS, EKS
• Ruby, Golang, Python

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

About the Role

We are hiring a senior engineer to join our Developer Experience (DevEx) team — a small, high-impact group responsible for elevating how engineering builds, tests, ships, and collaborates. This role is ideal for someone who wants to own strategy, influence engineering-wide workflows, and grow into a Tech Lead Manager (TLM)

You’ll shape our AI-native development environment, modernize CI/CD platforms (CircleCI, Buildkite, GitHub Actions), integrate AI SRE tooling, and mentor engineers across levels. Your work will directly accelerate developer velocity, reliability, and product quality across the company.

What You’ll Do

• Set the strategy and architecture for our local development environment, build systems, testing frameworks, CI/CD pipelines, and AI-assisted coding workflows (Claude Code, Claude MD-in-repo workflows)
• Own the CI health and experience, maintain metrics to track CI health, developer productivity, effective usage of AI and build roadmap to constantly improve
• End-to-end ownership of our release pipeline and lead the transition from scheduled releases to a robust, automated continuous deployment framework
• Deep experience and opinion in standardizing for effective usage of AI coding and reviewing agents for faster development, review and incident investigation
  
  
• Ship a clear multi-quarter DevEx roadmap and lead cross-team adoption
• Mentor and technically guide engineers within and outside of the team with best practices to improve quality and velocity; potential to grow into TLM ownership as the team grows
• Partner with cross-functional teams to design and deliver improvements to dev-infra, release processes, and internal tooling.
  
  
• Proactively identify bottlenecks and drive large-scale DX initiatives — e.g., cutting flaky tests, improving PR iteration speed, increasing automated test coverage, and reducing infra cost
  
  
• Present plans, tradeoffs, and progress to engineering leadership; serve as a thought partner for org-wide developer experience strategy.
  
  
• Champion experimentation and roll-out of AI-native development workflows, coding assistants, test-generation tools, and autonomous CI bots.
  
  

What You’ll Bring

• 8+ years of software engineering experience, including deep ownership of build, test, or CI/CD systems
• Proven experience owning and evolving CI/CD systems for large-scale codebases, focusing on reliability, scalability, and developer productivity
  
  
• Demonstrated experience defining and executing roadmaps for developer experience initiatives and internal engineering tooling
  
  
• Deep understanding of how to effectively integrate AI agents into the development workflow to accelerate engineering velocity and improve developer experience.
  
  
• Strong background in developer productivity, distributed systems, and cloud platforms (AWS preferred)
  
  
• Track record of leading complex engineering initiatives, influencing stakeholders, and delivering measurable impact
  
  
• Excellent communication skills; able to translate technical constraints into clear plans for non-technical audiences
  
  
• Comfortable working with:
  
  
• Infra & deployment technologies: Terraform, Docker, Kubernetes
  
  
• CI/CD systems: CircleCI, Buildkite, GitHub Actions, Helm
  
  
• Build systems like Poetry, pip, uv
  
  
• Experience designing and operating large-scale developer workflows and improving engineering best practices.
  
  

Nice to Have

• Experience in hyper-growth startup environments or scaling engineering orgs.
• Experience with AI development workflows, AI-assisted code generation, or SRE automation or strong excitement to learn.
• Prior experience as a Tech Lead, Team Lead, or Hands on Engineering Manager.

About Fellow

At Fellow, we’re on a mission to help people brew ridiculously good coffee at home. But we’re more than just beautifully designed kettles and grinders—we’re a brand built on innovation, community, and culture. We believe great coffee isn’t just about the final cup; it’s about the experience, the ritual, and the people who make it all happen.

We’re looking for an Automation Engineer (CI/CD, Firmware, Mobile, Backend) to support hardware product development and testing. 

This role is based in our office in San Francisco, CA and is required to be in-office 4 days per week. 

Who You Are

We are seeking a highly skilled Automation Engineer to design, build, and maintain end-to-end CI/CD pipelines that automate testing, deployment, and release workflows across software, firmware, mobile applications, and AWS-based backend services. This role requires deep experience in test automation, hardware-integrated testing, and the ability to work with system logs and external measurement devices. You will also play a key role in enabling intelligent debugging by integrating test outputs with AI-based analysis tools.

What You’ll Do

CI/CD & Automation Frameworks

• Design and implement scalable CI/CD pipelines to automate build, test, deployment, and release processes for:
• Embedded firmware
• Mobile applications
• Cloud-based backend services (AWS)
• Maintain and optimize automation frameworks to support continuous integration and delivery across multiple platforms.
• Firmware Automation
• Implement automated workflows to:
• Enforce coding style and static analysis checks
• Execute unit tests
• Compile firmware codebases from GitHub
• Flash firmware onto physical devices
• Run automated functional and integration test cases
• Collect, normalize, and forward device logs and test results to AI agents for debugging and root-cause analysis

Mobile Application Automation

• Build automated pipelines to:
• Perform coding style and lint checks
• Run unit tests
• Deploy builds from GitHub to test environments
• Install applications on physical test phones
• Execute automated UI and functional test cases
• Aggregate logs and test artifacts and pass them to AI agents for debugging

Backend Automation (AWS)

• Develop automation to:
• Enforce coding standards and static analysis
• Run unit and integration tests
• Deploy services from GitHub to test environments
• Execute automated backend test suites
• Capture logs, metrics, and traces and forward them to AI agents for intelligent analysis

Hardware & Data Integration

• Design and maintain automated tests that integrate:
• Hardware device logs
• Data from external measurement devices such as sensors, scales, or other instrumentation
• Ensure reliable data capture, synchronization, and validation across hardware and software systems.

Qualifications

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field (or equivalent practical experience)
• 7+ years of experience in test automation, CI/CD, or automation engineering roles
• Proficiency in automation scripting (Python or similar)
• Hands-on experience with hardware-integrated automation testing
• Strong experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI)
• Strong debugging and problem-solving skills in complex, multi-system environments
• Proven experience with hardware automation, including tests that integrate machine logs and data from external measurement devices such as sensors and scales
• Familiarity with Git-based workflows and version control best practices
• Ability to design robust, repeatable, and scalable test automation systems
• Expertise in log collection, processing, and analysis

Preferred Skills & Experience

• Demonstrated experience working across firmware, mobile, and backend systems
• Familiarity with embedded systems, RTOS, or low-level firmware development
• Experience with mobile automation frameworks (e.g., Appium, XCTest, Espresso)
• Experience with cloud-native testing, observability, and monitoring tools
• Knowledge of containerization and orchestration (Docker, Kubernetes)
• Experience working in IoT, consumer electronics, or hardware-software integrated products
• Experience integrating automation outputs with AI or ML-based debugging/analysis tools
• Experience with firmware build systems, flashing tools, and device communication
• Hands-on experience automating mobile application testing on real devices
• Strong understanding of AWS-based backend services and deployment workflows
• Experience with test frameworks for unit, integration, and system testing

Salary Range: $165,000- $185,000

Our highest goal at Fellow is creating a safe, inclusive, and rewarding environment where everyone can bring their whole selves to work and thrive. We are committed to building diverse teams and strongly encourage people from underrepresented groups, including but not limited to women, people of color, LGBTQIA+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. 

Fellow is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity, gender expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

About the Role

We’re looking for someone who can’t stop building with AI and can’t stop showing people what they’ve built.

You’re probably the kind of engineer who spends your evenings wiring agents together just to see what breaks. Your GitHub is full of experiments that are half-finished by traditional standards, but fully alive in your head. You’ve already built something with multi-agent systems, orchestration flows, or LLM pipelines passing work between each other and the first thing you did wasn’t polish it, it was demo it.

You don’t wait for things to be “ready.” You ship the weird version, the messy version, the “this might break” version, because that’s where the learning is. And then you talk about it. A lot.

About the Team

You sit close to our AI engineering team, where real features are being built and shipped. This is your technical home base, you’re not just observing what we’re building, you’re inside it, using it early, breaking it early, and helping shape how it evolves. You’ll also work closely with Marketing, but only to amplify what’s already real, not to manufacture it.

What You'll Do

Content & Community (50% of your time)

• Write about what you actually built, what worked, what broke, and what surprised you
• Show up in AI-native engineering communities where people are actively figuring things out in real time
• Jump into conversations early, before consensus exists, and share what you’re learning as you go
• Work with Marketing to amplify your work, without slowing down how fast you share it

Events & Representation (25% of your time)

• Go to meetups and conferences with live demos that are still evolving
• Spend time in SF and global engineering communities where AI-native builders are actively experimenting
• Show up regularly, not just to speak, but to demo, learn, and exchange ideas
• Help CircleCI stay present in the conversations that are defining how AI systems are actually being built

Technical Work (25% of your time)

• Use CircleCI’s AI features before anyone else does
• Build alongside our AI team so your content is grounded in real systems, not theory
• Push on new capabilities by trying to break them early and often
• Stay close to the edge of what’s possible so you can talk about it credibly

How You'll Work

• You move fast and independently, deciding what’s worth sharing and when
• You’re trusted to represent CircleCI in public spaces with good judgment
• You don’t wait for permission, you find interesting things and make them visible

Who You Are

• You’re earlier in your career but already deep in AI-native building
• You’ve shipped experiments with agents, orchestration, or LLM-driven systems, even if they were scrappy
• You have strong opinions about how AI systems should be structured, and you’re not shy about sharing them
• You write and demo because it’s how you think, not because it’s assigned

You'll Stand Out If You Have

• A GitHub full of AI experiments that you actively share or demo
• Experience posting technical content while you’re still building it
• A presence in AI or builder communities where people recognize your work or ideas

CI/CD has been solved. Now it's being reinvented. AI agents don't just run pipelines. They write code, trigger builds, interpret failures, and propose fixes at every increasing pace. The interfaces that developers use to understand and trust that work don't exist yet. We're building them.

At CircleCI, our guiding principles aren't posters on a wall. We learn fast: we run experiments, accept failure, and scale what works. We think like the customer: every decision connects back to the developer sitting in front of a failing build at 2 am. We own the outcome: not just our slice of it, but the whole thing. If that's how you already work, you'll fit here.

As a Product Manager at CircleCI, you will lead the development of a highly technical product designed for a technical audience. Much of the work is 0-1 and highly fungible as the market evolves quickly, requiring you to shape product direction amid ambiguity and constantly evolve that direction as new capabilities and opportunities emerge. You will partner closely with the Engineering, Product Design and Research teams to ensure that CircleCI is staying on the cutting edge of software validation.

What you’ll do:

• Help shape product strategy for CircleCI, from early concepts through launch and iteration
• Deeply understand developer and validation workflows and identify where they can be made faster, more powerful and intuitive, especially with AI
• Navigate ambiguity and make thoughtful tradeoff decisions in 0-1 product environments
• Collaborate with Engineering, Research and Product Design to translate the latest capabilities and breakthroughs in AI into usable, high-value validation experiences.

What we're looking for:

• 5+ years of experience in product management and engineering, including at least 1 year as a professional engineer.
• Have a deep technical background with experience working cross-functionally with engineering and product design teams to ship technical products.
• Passionate about solving critical problems for developers at scale. Deep understanding of how software is built, tested, and released to customers. Experience shipping developer tools is preferred. 
• Demonstrated ability to prioritize amongst competing opportunities, balance customer needs with business priorities, and explain the rationale behind those decisions.
• Entrepreneurial approach and an ability to deal with ambiguity and continuously evolving environments. 
• Stay up-to-date and hands-on with AI coding tools, model capabilities and industry trends.

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

Senior Sales Enablement Manager

Overview of Position

Are you a seasoned sales enablement professional who doesn't just build programs - you deliver them? CircleCI is looking for a Senior Sales Enablement Manager who brings deep B2B experience, proven sales methodology expertise, and the hands-on ability to both design and facilitate world-class training. This is a builder's role: you will come in, shape what enablement looks like at CircleCI, and have a real impact on the effectiveness of our revenue teams from day one. If you thrive at the intersection of strategy and execution, love being in the room with sellers, and can translate complex technical value into compelling messaging - this is the opportunity you've been waiting for.

Overview of the Team

CircleCI's Revenue team is focused on accelerating growth and deepening customer relationships across a diverse set of segments - from high-growth startups to global enterprises. As our Senior Sales Enablement Manager, you'll partner closely with GTM leadership to ensure our go-to-market teams are equipped to engage customers with confidence, clarity, and consistency. You'll be operating in a competitive, fast-moving market where our sellers need to articulate clear differentiation against well-resourced competitors - and your work will directly shape their ability to do that. This is a high-visibility role with room to grow: as the enablement function scales, so does the opportunity to build a team around you.

What You'll Do

In this role, you'll own the full lifecycle of sales enablement - from strategy through facilitation - ensuring our revenue teams have the skills, messaging, and tools to perform at their best. You will be responsible for:

• Design and personally deliver engaging onboarding and continuous training programs for sales roles - ensuring every seller is ramped, confident, and quota-ready from day one.
• Own and operationalize our sales methodology adoption, embedding consistent frameworks and processes across the revenue organization through hands-on coaching, workshops, and reinforcement programs.
• Partner with Product Marketing to translate CircleCI's product positioning and messaging into field-ready tools - including battle cards, pitch decks, competitive resources, and talk tracks.
• Equip sellers to confidently position CircleCI's AI-powered CI/CD capabilities, including how our platform supports AI-native engineering teams and modern software delivery workflows, in partnership with Product Marketing.
• Collaborate with Revenue leadership and cross-functional stakeholders to identify skill gaps, develop targeted learning paths, and build a curriculum roadmap that scales with our growth.

What We're Looking For

The ideal candidate is a high-performing enablement professional who has been there, done that — and is energized by the opportunity to build something meaningful. You don't hand off a deck and hope for the best; you're in the room, owning the training, and driving outcomes. You'll also bring:

• 6+ years of B2B sales enablement experience, ideally within SaaS or technology, with a proven track record of directly facilitating training and driving measurable improvements in sales performance - not just program coordination. Experience selling to or enabling sellers who engage technical audiences is a plus.
• Experience working with or alongside technical product teams — whether through a product management background, close partnership with engineering or PM stakeholders, or prior enablement work at a developer tools company — giving you the credibility and fluency to understand CircleCI's platform deeply and help sellers translate its technical capabilities into customer value.
• Deep fluency in sales methodologies - particularly Command of the Message - as well as frameworks like MEDDIC and Challenger, with the ability to coach sellers on how to apply them in real customer conversations. Familiarity with MEDDPICC as a qualification framework is a bonus.
• Experience enabling sellers in a competitive, displacement-driven environment - you understand how to train reps to win against deeply embedded competitors and bundled platform solutions.
• Strong command of messaging and positioning - you can partner with Product Marketing to understand our value proposition and translate it into how reps actually sell, including competitive differentiation, customer-facing storytelling, and positioning around emerging technology like AI-powered DevOps.
• A builder's mindset: comfortable with ambiguity, energized by a blank canvas, and capable of creating structure and driving results without a fully built-out team beneath you - yet.

About the Role

The Quality Engineering team ensures every HP IQ experience is robust, reliable, and delightful to use. We are looking for a Senior Quality Assurance Engineer to lead test strategy and quality initiatives across software and hardware teams. You’ll define and scale test automation, influence architecture for testability, and partner across disciplines to raise the bar for what quality means in the AI era.

What You Might Do

• Design comprehensive test strategies that align with product goals, technical architecture, and customer experience.
• Develop and maintain automation frameworks for functional, regression, and integration testing.
• Cross-functional collaboration with engineers, product managers, UX, and design to embed quality from ideation through release.
• Define and drive key quality metrics, triage defect patterns, and surface actionable insights through dashboards and reports.
• Establish standards for test planning, execution, and documentation, mentoring QA engineers and championing best practices across teams.
• Build tooling and infrastructure to support continuous integration, faster feedback cycles, and scalable test coverage.
• Proactively identify future testing needs across cloud, edge, and device interfaces—shaping the long-term QA roadmap.

Essential Qualifications

• 5+ years of experience in software quality engineering, with a proven record of raising quality bars in complex systems.
• Strong background in both manual and automated testing for customer-facing applications.
  Proficiency with test automation tools and scripting (e.g., Selenium, Playwright, Python, or similar).
• Deep understanding of QA methodologies, metrics, and test architecture design.
• Experience programmatically validating product behavior and analyzing diagnostic signals from CI pipelines.
• Bachelor's degree in Computer Science or a related field.

Preferred Skills

• Experience testing AI-powered or edge-connected applications.
• Familiarity with backend service testing, distributed systems, and API validation.
• Strong communication skills that emphasize collaboration, documentation, and continuous improvement.
• Knowledge of cloud-based infrastructure and CI/CD tools (e.g., GitHub Actions, Jenkins, or CircleCI).
• Passion for user experience, accessibility, and long-term product health.

Salary range: $115,000 - $188,000

About the Role

The Quality Engineering team ensures every HP IQ experience is robust, reliable, and delightful to use. We are looking for a Senior Quality Assurance Engineer to lead test strategy and quality initiatives across software and hardware teams. You’ll define and scale test automation, influence architecture for testability, and partner across disciplines to raise the bar for what quality means in the AI era.

What You Might Do

• Design comprehensive test strategies that align with product goals, technical architecture, and customer experience.
• Develop and maintain automation frameworks for functional, regression, and integration testing.
• Cross-functional collaboration with engineers, product managers, UX, and design to embed quality from ideation through release.
• Define and drive key quality metrics, triage defect patterns, and surface actionable insights through dashboards and reports.
• Establish standards for test planning, execution, and documentation, mentoring QA engineers and championing best practices across teams.
• Build tooling and infrastructure to support continuous integration, faster feedback cycles, and scalable test coverage.
• Proactively identify future testing needs across cloud, edge, and device interfaces—shaping the long-term QA roadmap.

Essential Qualifications

• 1+ years of experience in software quality engineering, with a proven record of raising quality bars in complex systems.
• Strong background in both manual and automated testing for customer-facing applications.
  Proficiency with test automation tools and scripting (e.g., Selenium, Playwright, Python, or similar).
• Deep understanding of QA methodologies, metrics, and test architecture design.
• Experience programmatically validating product behavior and analyzing diagnostic signals from CI pipelines.
• Bachelor's degree in Computer Science or a related field.

Preferred Skills

• Experience testing AI-powered or edge-connected applications.
• Familiarity with backend service testing, distributed systems, and API validation.
• Strong communication skills that emphasize collaboration, documentation, and continuous improvement.
• Knowledge of cloud-based infrastructure and CI/CD tools (e.g., GitHub Actions, Jenkins, or CircleCI).
• Passion for user experience, accessibility, and long-term product health.

Salary range: $85,000 - $130,000

Position Summary

As a Software Engineer, Dev Productivity, you’ll work at the intersection of software development, automation, and infrastructure. Your mission is to streamline engineering workflows, optimize CI/CD systems, build and testing infrastructure, and enhance developer tooling to accelerate software delivery.

Key Responsibilities

• Design, build, and maintain high-performance CI/CD pipelines to improve development speed and reliability.
• Develop internal tools and automation to reduce friction in engineering workflows.
• Optimize build and test infrastructure for faster feedback loops.
• Work closely with engineering teams to identify and eliminate inefficiencies in the development process.
• Enhance and monitor developer environments to improve developer experience
• Advocate for best practices in software development, version control, and release management.
• Drive the adoption of automation and tooling that increase engineering efficiency.

Key Qualifications

• Strong experience with CI/CD tools like GitHub Actions, Jenkins, GitLab CI, Buildkite, or CircleCI.
• Experience with build systems (e.g., Bazel, CMake, Make, Gradle).
• Experience with python dependency management (e.g. poetry, uv)
• Knowledge of containerization and Kubernetes for scalable builds and testing.
• Strong problem-solving skills and a passion for improving developer experience.
• Proficiency in scripting and automation with Python, Bash, or Go.
• Excellent communication skills and ability to work across teams.

Preferred Qualifications

• Experience with docker image build optimization
• Experience with bazel
• Experience with GPUs

What HeyGen Offers

• Competitive salary and benefits package.
• Dynamic and inclusive work environment.
• Opportunities for professional growth and advancement.
• Collaborative culture that values innovation and creativity.
• Access to the latest technologies and tools.

Salary Range
$180,000 – 240,000 annually
Please note that the salary information is a general guideline only.  HeyGen considers factors such as scope and responsibilities of the position, candidate's work experience, education/training, key skills, and internal equity, as well as location, market and business considerations when extending an offer.  As part of our total rewards package, HeyGen offers comprehensive benefits including a 401k plan, health benefits, generous PTO, a parental leave program and emotional health resources.

HeyGen is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

About the Role

We’re looking for a Software Engineer (DevOps) to help design, build, and maintain the systems that keep our platform fast, reliable, and secure. This is a hands-on engineering role for someone who loves infrastructure, automation, and high-leverage backend work. You’ll work across backend services, CI/CD, and cloud architecture — enabling the entire engineering team to ship confidently and often. You’ll collaborate closely with backend and frontend engineers, owning our deployment pipelines, AWS environments, and infrastructure-as-code. The ideal candidate thrives in startup environments — solving problems pragmatically, balancing speed and reliability, and continuously improving tooling and processes.

Key Responsibilities

Infrastructure & DevOps

• Own and evolve our CI/CD pipelines to ensure smooth, fast, and reliable deployments.
• Manage and optimize our AWS environment (ECS, EC2, Lambda, S3, CloudFormation, CloudWatch, etc.), and abstract to multi-cloud environments such as GCP and Azure.
• Build reproducible, scalable infrastructure using Terraform and other IaC tools.
• Containerize and orchestrate applications using Docker and Kubernetes.
• Improve monitoring, logging, and observability for all production systems.
• Partner with backend engineers to automate testing, staging, and release workflows.

Backend & Service Development

• Contribute to backend services written in Python (FastAPI) with SQLAlchemy and PostgreSQL.
• Write and maintain test suites and deployment scripts that keep systems stable and predictable.
• Help design and build APIs and integrations that connect infrastructure to product functionality.
• Support the team in diagnosing and resolving performance or reliability issues across environments.

Collaboration & Process

• Work cross-functionally with product, backend, and frontend teams to deliver secure, reliable releases.
• Operate effectively in a fast-paced, async environment — communicate clearly and prioritize well.
• Contribute to technical documentation and help define standards for DevOps and deployment practices.

Qualifications

Required

• 5+ years of professional software engineering experience, with significant DevOps ownership.
• Deep experience with AWS primitives and cloud architecture.
• Strong expertise with CI/CD systems (GitHub Actions, CircleCI, or similar).
• Skilled with Docker, Kubernetes, and containerized application deployment.
• Experience with Terraform or other infrastructure-as-code frameworks.
• Strong background in Python, FastAPI, and SQL-based data layers.
• Proven ability to automate and streamline development and release workflows.
• Experience with VPNs (Tailscale, or similar).

Preferred

• Experience with Kubernetes, GCP, or Azure.
• Familiarity with monitoring tools (Grafana, Prometheus, Datadog, or similar).

Why Join

You’ll own high-leverage infrastructure and have direct impact on how quickly and confidently the entire team ships. If you enjoy working in a collaborative, high-velocity environment and want to shape the backbone of a fast-growing AI startup — this is the place.

About The Role

As the Lead Software Engineer, Device Automation within the Device Automation, Build, and Quality Team, you will play a critical role in shaping the automated testing strategy and scaling the team. You’ll collaborate closely with design, development, and quality teams to plan, design, and implement robust automated testing systems that ensure the quality and reliability of our products. As a senior technical leader, you will be highly hands-on in your work, while mentoring and guiding other engineers. 

This position offers a unique opportunity to influence the development of cutting-edge automation frameworks, foster a culture of quality, and contribute to the long-term success of the organization.

What You Might Do

• Develop and lead the implementation of automation frameworks and testing strategies for device-level and user-facing functionality.
• Drive initiatives to increase automation and improve code quality
• Mentor and guide junior engineers, fostering skill development and best practices in automation and quality engineering.
• Collaborate cross-functionally with System Software, Automation, and Test teams to ensure integration and alignment of testing strategies.
• Build and scale the automation engineering team through recruiting, onboarding, and team development.
• Utilize AI tools for deterministic and non-deterministic testing approaches.
• Design and implement reusable automated tests and tools that set the standard for the team, empowering other engineers to follow best practices.
• Leverage a deep understanding of system logs and backend processes to diagnose and resolve complex issues during testing.
• Contribute to continuous improvement efforts for build/release/test systems and CI/CD pipelines.

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 10+ years of experience in automation engineering, with a strong focus on device-level automation (experience with consumer electronics is a strong plus).
• Demonstrated leadership experience, including mentoring engineers or leading technical projects.
• Hands-on experience working with OSx and Linux.
• Strong proficiency in developing tools for test automation and writing test cases.
• Deep understanding of automated testing for native Android applications.
• Proficiency in Python or other object-oriented programming languages.

Preferred Skills

• Expertise in designing and implementing scalable build/release/test systems.
• Familiarity with one or more continuous integration pipeline tools, such as Jenkins, GitHub Actions, or CircleCI.
• Strong interpersonal and communication skills, with the ability to manage cross-functional relationships.
• Proven ability to balance hands-on technical work with team mentorship and leadership responsibilities.

Salary Range:  $180,000 - $250,000