Staff AI Product Engineer (Prague/Brno/Remote EU)

• 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., We’re hiring a Staff Engineer to own the architectural layer that makes this real, working alongside our engineers, PMs, and designers shipping AI-first product features end-to-end. You’d ship code, set technical direction, and shape decisions about what’s worth building. Your north star here will be: get from idea to validated learning twice as fast., * One named driver per initiative. End-to-end ownership of the outcome, the path, the decisions, and the learnings. No approval chains. The driver decides; leadership unblocks.

• One-page pre-reads as the unit of decision. Big work starts with a brief covering the problem, expected outcome, risks, and effort. Leadership reads it and decides. No 30-slide decks. No two-week alignment cycles.
• Continuous delivery, no quarterly planning. Roadmap committed one month out. Beyond that, AI moves too fast for longer cycles to mean anything. We ship to internal first, then beta, then GA. Validation comes from real usage.
• PMs and designers ship to production. Not just specs and Figma. They prototype with AI tools and ship alongside engineers. PMs own what gets built and when. Engineers own how.

If you’ve been a founding engineer or founder, this should feel familiar. If you’ve been waiting for a place that operates like that at scale, this is one.

The system around you

We invest before we expect. We are actively looking for the next set of constraints to remove before they slow us down.

• Best AI tools from day one. Cursor, Claude Code, Codex, Glean. No waiting list, no approval process. If a better tool shows up tomorrow, you get that one too.
• AI Champions embedded on every team. Engineers (not coordinators) who pair with you, unblock you, and help you move faster with agents. Four hours every week dedicated to team enablement.
• A codebase built for agents. Curated AGENTS.md files, repo-versioned skills, clean contracts. Continuously evaluated, not accumulating.
• Ship It with AI days. Two days every six weeks. No meetings for ICs. Pick a real problem, try a new AI workflow, ship to production within 48 hours.
• Knowledge that compounds. Monthly engineer-to-engineer events where we share what we’re experimenting with, learning, and shipping with AI., * AI layer: Python, Pydantic AI, Braintrust
• Frontend: TypeScript, React, Relay, GraphQL
• Backend: Kotlin, Ruby (legacy services we’re modernizing), with new services built in Kotlin
• Storage: PostgreSQL, MongoDB, Elastic, Redis
• Data pipeline: Python, Keboola, Looker, Snowflake
• Infrastructure: AWS, Cloudflare, Kubernetes, Terraform

Our Benefits Include

Stock options

MacBook + 34” monitor

Budget for online courses, books, and conferences

You ship with AI every day. You think in outcomes, not output. You can name a tradeoff you made between scope and quality and tell us why you made it. You can describe what you’ve stopped doing because AI made it unnecessary. You’ve owned features end-to-end and know what it costs to get something to GA., * 6-10+ years of production software engineering experience

• Strong backend skills in Python, Kotlin, or Java, with experience evolving service-level logic and infrastructure
• Hands-on LLM experience in real products: prompt design, context management, evaluation, real understanding of trade-offs (hallucinations, latency, cost, reliability)
• Comfort with distributed systems and event-driven architectures (queues, async processing, service-to-service communication)
• Daily use of AI coding tools as a core part of your workflow - pushing them, refining prompts, knowing where they break

Strong fit: Former founding engineer or founder. A 0-to-1 engineer who turns business insights into prototypes to validate ideas quickly. Someone who’s built agentic systems in production, or done deep work with multi-step LLM workflows (tool use, memory, orchestration).

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.

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About productboard

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