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Productboard is the intelligent product management platform that helps future-ready product teams drive strategic alignm
The Role
Lead a team owning developer experience and platform: improve build/test/release/operate workflows, run production operations and on-call, build AI-embedded tooling (code review, incident agents), own infrastructure, costs, dashboards, and vendor tooling while coaching engineers and driving platform strategy.
Summary Generated by Built In
Only the best engineers are being built here.
Salary range (annual, CZK): 2,950,000 - 4,430,000.
The opportunity
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. Our target is one number: turn an idea into validated learning twice as fast as we do today.
None of that happens without the platform underneath it and the operation to support it. That is this role.
Lead the team responsible for how engineers at Productboard build, test, release, monitor, and operate software (something better).
At Productboard this transformation is not a side project. AI first is our operating model. We are building an AI-first product engineering organization where learning velocity matters as much as shipping. Our northstar is to turn ideas into validated learning twice as fast. More experiments. Tighter feedback loops. Better outcomes.
We are looking for an Engineering Manager who wants to be at the center of that, not watching it happen from the outside.
Why this matters for your careerPlatform work is where the AI shift gets decided. Not in a demo, in the pipeline.
Every organization is about to discover that agents are only as good as the codebase, the contracts, the test suite, and the context they operate in. The people who build that layer will be the ones who know what actually works, at a time when almost nobody does.
You will not just use AI tools here. You will build the systems that make agents effective on a real codebase with real customers and real incidents. You will run operations in an environment where the tolerance for toil is low and the appetite for automation is high. You will own the tooling budget and the decisions that come with it.
The skills you build here are the skills that will define engineering leadership for the next decade.
What you will build- A pipeline where a merged change reaches production the same day, with the tests and gates that make that safe rather trustworthy.
- A context layer in the repo. Versioned guidance that Cursor, Claude Code, and Codex load on their own, so every engineer gets better AI output without configuring it themselves.
- AI code review that catches the real issues. Correctness, security, and maintainability flagged before a human opens the pull request, with the false positives filtered out so reviewers trust it.
- Develop PR segmentation to route a higher percentage towards auto deployments without human reviews.
- Own Engineering dashboards and team health dashboards, with both leading and lagging indicators. Highlight what next constraints we will face and plan to address them.
- On-call system engineers do not dread. Clear ownership, runbooks that execute, alerts that mean something, and a reliability target the whole organization can see.
- Incident agents. They triage the alert, pull the logs, surface the last few times this broke, and propose a fix. The on-call engineer decides.
- Infrastructure and a tooling stack that are chosen, not inherited. Cost and capacity visible per team, fewer vendors, and a reason for every one we keep.
- Own developer experience end to end. Find friction in how engineers build, test, release, and operate, then remove it. Measure the impact before and after.
- Own production operations, infrastructure, cloud cost, and capacity. Drive reliability, incident response, on-call health, and make infrastructure tradeoffs visible.
- Own engineering tooling and vendors. Evaluate, consolidate, negotiate, and retire tools to keep the platform efficient and focused.
- Define your team's engineering strategy and roadmap, balancing developer experience, reliability, cost, and long-term sustainability.
- Treat internal engineers as customers. Understand how they work, prioritize based on evidence, and build an AI-first platform with machine-readable contracts, maintained context, executable runbooks, and AI embedded across the engineering lifecycle.
- Bring well-reasoned recommendations to leadership and work closely with senior engineers on technical direction, design reviews, incidents, and platform architecture.
- Partner with other engineering managers to ensure platform investments align with how product teams build and operate.
- Make your team's impact visible and act as a knowledge multiplier, fostering pride in the team's work and raising the engineering bar across the organization.
- You are a backend engineer at heart who still enjoys reading and writing production code. You bring deep technical credibility, not just a management background.
- You have at least two years of experience managing engineers, helping individuals grow while building high-performing teams.
- You deeply understand developer workflows and have improved developer productivity through better tooling, processes, or platform capabilities. You have also owned production operations, including on-call, incident response, and reliability.
- You bring thoughtful recommendations, not just updates, and are comfortable making decisions while being transparent about uncertainty.
- You value direct, constructive feedback and thrive in a culture of Radical Candor.
- AI is part of your daily workflow. You use coding assistants and other AI tools to improve how you plan, build, review, and debug software.
Strong plus
- Experience owning infrastructure, cloud cost and capacity planning, as well as engineering tooling, vendor management, and FinOps.
- Kubernetes, AWS, Docker, Helm, Kafka, Git, and CI/CD
- Terraform for infrastructure as code
- Datadog, Sentry, and Looker for observability and analytics
- GraphQL and Postgres
- Python, Celery, and LangGraph where we run AI workloads
- Business tools: Slack, Google suite, Zoom, Notion
- [Full Tech Stack]
💰 Stock options
💻 MacBook + 34″ monitor
📚 Budget for online courses, books, and conferences
🏝 5 weeks of vacation + sick days
❤️ 1 Volunteer Day per year for you to help causes close to your heart
🍲 Free snacks, drinks, and yummy catered lunches every day
💚 Soulmio mental health program
🏋 MultiSport card to access sports facilities
🍹 Team events, such as happy hours, off-sites, and retreats
⏱ Flexible working hours and home office
🧒🏻 Parental benefits
🎓 Language lessons
🍀 Mental Wellness Program to support your well-being and self-caree
🥕 Carrot Fertility Program
Relocation OpportunitiesIf 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.
About ProductboardProductboard 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
- Backend engineer with hands-on production coding experience
- At least two years of experience managing engineers
- Deep understanding of developer workflows and demonstrated improvements to developer productivity
- Owned production operations including on-call, incident response, and reliability targets
- Comfortable using AI coding assistants and embedding AI into engineering workflows
- Legal right to work in the EU (no visa sponsorship provided)
- Experience owning infrastructure, cloud cost and capacity planning, vendor management, and FinOps
- Familiarity with Kubernetes, AWS, Docker, Helm, Terraform, Kafka, CI/CD, Git, Datadog, Sentry, Looker, GraphQL, Postgres, Python, Celery, LangGraph
- Strong communication, decision-making under uncertainty, and constructive feedback culture (Radical Candor)
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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.
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