Productboard is the intelligent product management platform that helps future-ready product teams drive strategic alignm
The Role
Lead Developer Experience engineering and AI-native architecture initiatives. Build Kotlin services, Go internal tooling, developer platforms, CI/CD improvements, observability, reliability guardrails, and self-service workflows. Establish AI-ready codebase standards, context infrastructure, agent workflows, and AI code-review optimization. Partner across teams, define and measure developer-experience metrics, validate solutions with users, and promote product-minded engineering practices.
Summary Generated by Built In
Only the best engineers are being built here.
What you'd build
The opportunity
Why this matters for your career
AI is how we build
What we are building underneath:
What you will do
About you
Our tech stack
Our benefits include
Relocation Opportunities
About Productboard
At Productboard, we're building the place where AI-first engineering gets defined. Removing every bottleneck as it surfaces, we are fundamentally reimagining what's possible when AI becomes a first-class partner, not a tool. This is where product engineers learn to operate at their highest level in the AI era.
You'd lead the architectural work that makes our codebase AI-native. Specifically:
- Agent-native architecture standards. Clear API contracts, semantic naming, well-defined module boundaries. The patterns that keep AI effective as our systems grow.
- A context infrastructure layer. Repo-versioned guidance that AI tools load automatically — improving the output of Cursor, Claude Code, and Codex simultaneously.
- Self-healing workflows for incidents. Agents that triage alerts, pull logs, surface relevant history, suggest remediation. Humans intervene where judgment matters.
- Agent workflows that go beyond chat. Multi-step reasoning, tool use, autonomous task execution with human-gated checkpoints — for product features, not internal demos.
- Systematic optimization of AI code review. Earlier detection of correctness, security, and maintainability issues, with the noise filtered out before it reaches a human reviewer.
Salary range (annual, CZK): 2,295,000 - 3,305,000.
To give you a realistic picture of where you'd likely land, here's how our current L4 engineers are distributed across the salary band.
Where most of our L4s sit: Q1 (2.3M - 2.55M) · Q2 (2.55M - 2.8M) · Q3 (2.8M - 3.05M) · Q4 (3.05M - 3.3M).
Current distribution: Q1 – 33% · Q2 – 27% · Q3 – 33% · Q4 – 7%.
The way software is built is changing, and fast! Engineers who embrace AI-native workflows today will define the next decade of product development. Those who don’t? They will be explaining what they used to do.
At Productboard, this transformation to being AI native is not a side project; it is our entire focus. AI first is our operating model, and this is how we work. We are building an AI-first Product Engineering organization where learning velocity matters as much as shipping. Our northstar: turn ideas into validated learning twice as fast. More experiments. Tighter feedback loops. Better outcomes.
We are looking for a Staff Fullstack DevX Engineer who wants to be at the center of this transformation, not watching it happen from the outside. The Developer Experience team’s mission is to boost engineering velocity and developer happiness by creating simple, powerful tooling and paved paths. We treat DevX like a product: we listen to feedback, measure outcomes, and focus on the highest-impact work so teams can ship faster with less friction and more confidence. Join us, and help shape the future of AI-powered product development.
The gap between engineers who are building with AI daily and those who are still watching is widening fast. At Productboard, you won't just use AI tools. You will shape the architecture that makes AI agents effective, define the workflows that make them reliable, and build the evaluation systems that make them trustworthy. You will work in an environment where AI first is not a future aspiration. It is the current standard.
The skills you build here, agent native design, multi-model orchestration, eval-driven development, AI-ready codebase architecture, are the skills that will define senior engineering for the next decade.
This is not a tagline. It is our daily operating model across Engineering, Product, and Design. PMs and designers don't just spec features here. They prototype with AI tools and ship to production alongside engineers.
AI is embedded across the full lifecycle: technical discoveries, spec writing, design exploration, implementation, test generation, code review, CI/CD, and incident resolution. Human judgment stays in control. People own product intent and quality decisions, with strong review practices and guardrails that keep shipping safe.
- Agent native architecture standards: clear API contracts, semantic naming, and well-defined module boundaries that keep AI effective as systems grow.
- A context infrastructure layer with repo versioned guidance that AI tools automatically load, improving the output of Cursor, Claude Code, and Codex simultaneously.
- AI agent workflows for on-call and incident resolution: triage alerts, pull logs, surface relevant history, and suggest remediation.
- Systematic optimization of AI code review to catch correctness, security, and maintainability issues earlier.
- Build and evolve Kotlin services and frameworks that streamline the inner loop (APIs, build/test tooling, automation, paved paths).
- Maintain and improve our internal developer tool written in Golang.
- Accelerate CI/CD: improve caching/parallelism, increase test reliability, and shorten feedback cycles.
- Partner across teams to standardise workflows, enable self-serve integrations, and reduce cross-team friction.
- Instrument and improve: define DX metrics (lead time, build time, flakiness), run experiments, and iterate based on data.
- Improve reliability and safety with sensible defaults—observability, guardrails, and secure-by-default patterns.
- Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo.
- Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints.
- Run experiments, validate with real users, and iterate based on evidence. We measure learning velocity, not just output
- Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
- Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone.
- Have 5+ years of professional engineering experience.
- Experience with Kotlin/Java in production (JVM performance, testing, dependency management).
- Solid grasp of cloud-native engineering (containers, Kubernetes; AWS/IaC a plus).
- Pragmatic approach to developer platforms, internal tooling, and CI/CD at scale.
- Nice to have: exposure to Go and interest in multi-language ecosystems.
- Previous experience with working on developer or internal tooling.
- Contributing to open source.
- Strong communication skills and collaborative mindset.
- Curiosity, adaptability, and a proactive, startup-friendly attitude.
- Bring product thinking to engineering work. You can articulate why something matters for users, not just how it works technically.
- Embrace AI as a daily tool in your own workflow. You use AI coding assistants, iterate on prompts, and constantly look for ways to move faster.
- Are curious about what agent native architecture looks like: how to structure codebases, APIs, and documentation so AI agents can operate effectively at scale.
- Python for ML code
- Celery and Kubernetes for pipeline orchestration
- AWS, Docker, Helm, Kafka, Git, and CI/CD for real time services
- LangGraph for agent orchestration, Braintrust for observability and evaluation
- GraphQL, Postgres, Datadog, Sentry, and Looker
- Business tools: Slack, Jira, Google suite, Zoom, Notion
- Full Tech Stack
- Stock options
- MacBook + 34″ monitor
- Work from home stipend to support your home office setup
- 5 weeks of vacation + 9 sick days
- Flexible working hours and home office
- Budget for online courses, books, and conferences
- 2 weeks of fully paid parental leave
- Fertility & Family-Building Support with Carrot
- Mental Wellness Program with Soulmio to support your well-being and self-care
- 1 Volunteer Day per year to support causes close to your heart, plus donation matching from Productboard
- Free snacks, drinks, and yummy catered lunches from White Circus at the office every day
- Free MultiSport card
- On-site bouldering wall, boxing bag, and workout mats
- Team events, such as happy hours, off-sites, and retreats
- Free year-round access to Prague Zoo
If joining us means making a move, we're here to help make that transition easier.
Candidates must have the legal right to work in the EU. While we are unable to provide visa sponsorship for this role, we're happy to support relocation to Prague for candidates already authorized to work in the EU.
Relocation Support
We offer a one-time relocation bonus ranging from $6,000 to $13,000 USD, depending on your personal situation, whether you're moving on your own or with a partner or family.
This bonus is intended to help offset moving expenses and support your transition into your new city. While it may not cover every cost, it provides meaningful financial support as you get settled.
If you're thinking about relocating and want to explore what this could look like for you, we'd be happy to have that conversation.
Productboard is the leading intelligent product management platform, used by 6,000+ companies including Salesforce, SAP, Autodesk, and Kroger. Headquartered in San Francisco, with engineering hubs in Prague and Brno. Backed by Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer, Tiger Global, and Dragoneer.
We've spent the last decade building the foundation for how product teams work. We're now in our 0-to-1 moment again, building Productboard Spark — the AI-first, agentic experience that turns raw feedback and signals into clear problems, strong specs, and faster execution. Spark is what powers everything you'd be working on.
Are you building with us?
If the work above is what you want to spend the next chapter of your career on, apply below!
Equal Opportunity Employer Statement
We are an equal opportunity employer and champion equity. We aim to help people from all backgrounds, cultures, and groups realize their full potential at Productboard. We do not tolerate any discrimination or harassment based on gender identity, race, color, religion, age, sexual orientation, non-disqualifying physical or mental disability, national origin, veteran status, or any other bias covered by appropriate law. All aspects of employment, including hiring, training, promotion, and terminations, are based on merit, competence, performance, and business needs. We are committed to an inclusive hiring process and provide all candidates with equal opportunity to demonstrate their abilities. Togetherness is one of our core values, and our Diversity Council helps to ensure that we uphold the values of authenticity, humanity, and diversity to create an environment where every person matters. We are committed to leading by example to drive societal change.
By applying you agree to Productboard's Global Candidate Privacy Policy
Skills Required
- 5+ years of professional engineering experience
- Production experience with Kotlin or Java, including JVM performance, testing, and dependency management
- Experience with cloud-native engineering, including containers and Kubernetes
- Experience with developer platforms, internal tooling, and CI/CD at scale
- Previous experience working on developer or internal tooling
- Strong communication skills and a collaborative mindset
- Curiosity, adaptability, and a proactive startup-friendly attitude
- Product thinking and ability to articulate user value
- Regular use of AI coding assistants and willingness to iterate on prompts
- Interest in agent-native architecture and AI-ready codebases
- Experience with Go
- AWS or infrastructure-as-code experience
- Contributions to open source
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Productboard is the intelligent product management platform that helps future-ready product teams deliver exceptional products with clarity and confidence. Over 6,000 companies, including Salesforce, Autodesk, Zoom, One Medical Group, Cartier, and The Coca-Cola Company use Productboard to uncover customer needs, drive strategic alignment, and rally everyone around the roadmap. With offices in Prague and San Francisco, Productboard is backed by leading investors, including Index Ventures, Kleiner Perkins, Sequoia Capital, and Bessemer Venture Partners. Learn more at [www.productboard.com](http://www.productboard.com/)
Why Work With Us
We believe that truly great products are not created by individual geniuses but by a great group of people that leverages everyone’s curiosity and creativity. That is why our mission at Productboard is to **make products that matter, together**. We are a global company with a stimulating, multicultural environment.
Gallery
