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Productboard is the intelligent product management platform that helps future-ready product teams drive strategic alignm
The Role
Own Productboard’s AI product strategy and roadmap, including the Spark agent, orchestration harness, AI UX, evaluation quality, feedback insights, product specifications, MCP integrations, dashboards, and design system. Lead product managers and designers, establish quality standards and critique processes, determine UI versus headless agent experiences, and drive adoption of agentic workflows across Productboard.
Summary Generated by Built In
Locations: Prague / Brno / Remote Europe
The role
Head of Product, AI Product. Reports to the CTO. Based in Prague, Brno, or remote within Europe with regular time in Prague.
Productboard is the agentic product system for product teams. At its center is Spark, a product management agent that connects to a company's customer feedback, strategy, competitive intel and codebase. Spark finds the highest impact opportunities, writes delivery ready specs, and runs the workflows a team builds as Skills. More than 4,000 companies run their product work on Productboard.
We are building one picture of where a product is strong and where it is weak, from two directions at once. Top down: executives and product leaders read portfolio health by segment and capability, built from what customers say, what they do, and the revenue behind it. Bottom up: a PM starts from one piece of feedback or one feature and follows it to the insight, the capability and the revenue it touches. Both read from the same data, and both run through your domains.
You own Spark and everything agentic underneath it: the agent, the harness it runs in, the quality bar it has to clear, the insights pipeline it reads from, the specs it writes, the MCP surface other agents use to reach it, and the design system every surface of the product is built from. The PMs on those surfaces and every product designer report to you. You lead design for the whole product.
In the future, most of the work done in Productboard will run through agents, via MCP and APIs. Some UI will always stay. You decide which, and the screens that stay have to be excellent.
What you own- Spark, our agent. What it does, what it asks, when it acts on its own and when it waits for a person.
- The agent harness and orchestration. Skills, scheduled tasks, human in the loop capability, model choices and cost per task. The runtime every agentic feature executes in.
- AI experience. Spark UI, human in the loop UX and generative UI. How a person sees, steers and corrects agent work.
- AI quality. You own the evals for Spark and every agentic feature: the eval suite, the judges, the method and tooling every team evals with, the review cadence that decides whether an output ships, and how evidence is shown to a person.
- Feedback analysis and insights. The pipeline that turns customer conversations into structured insight, and the views where teams read it.
- Product specs. Where the agent drafts with product teams, and what delivery ready means. The editor's storage and collaboration engine sit with the platform. You own the spec experience.
- MCP servers. The surface through which Claude, Cursor and other agents work in Productboard. The tools, skills and agents we expose there. The protocol layer itself, auth, rate limits and hosting, sits with your platform peer.
- Boards, roadmaps and dashboards. The views product teams work in. You own the application: what a board shows, how a roadmap reads, what a dashboard answers. The query engine underneath is your peer's platform capability.
- Design for the whole product. All product designers report to you, on the AI product and on the platform. You own the design bar across the product. Critique, hiring and the design career ladder run through you. You also own the design system: the component library and design language every surface of the product uses, including the platform surfaces your peer owns.
Our CEO owns product strategy and the context behind it: where the product goes and why. You own the roadmap and the decisions for your domains within that strategy. Engineering managers own the engineering side of each domain, and your PMs and designers partner with them. Initiatives are staffed from a shared roadmap, and people move with initiatives while domains and reporting lines stay put.
Our Chief AI Officer sets direction and raises the bar on anything agentic, across the company. He owns no layer and no roadmap.
Your peer is the Head of Product, Enterprise Platform. They own the capabilities underneath every surface: the data model, the query engine that boards, planning views and dashboards run on, the editor engine, permissions, security and compliance, search, notification routing, integrations and the protocol layer. You own what people see on top of it: every surface, every designer, the design system. When a capability needs a screen, your team designs it. When a surface needs a capability, their team builds it. Work that touches both is staffed across both groups through initiatives.
You bring the problem before the solution. An initiative of yours gets investment once you have made the case that the problem is worth solving. You ship it to our own workspace first and take it GA when it hits the goal you set at the start.
Why this matters for your careerOur engineers already build with agents. An engineer claims a feature, writes the spec with Spark, hands the code to Claude or Codex, steers it, and delivers. Review moved upstream to the plan. Low risk changes merge on an agent's review alone. Per engineer throughput has already doubled in the last nine months. You will help us run product the same way: the agent drafts, the PM decides what ships and everyone creates working prototypes.
The practice you will run is ahead of what most product orgs describe in decks. Opportunity reviews before solution reviews. Specs and implementation plans in one place, where any person or any agent picks up the full context. Initiatives that ship to our own workspace first and go to GA against a goal set at the start. Evals and a written quality bar as product tools you own. You get the best tools we can buy and the support to use them. You will use Claude, the IDE you prefer, and our MCP server every day, and you can prototype a change and ship it to our own workspace yourself, without waiting on an engineer.
Our north star: get from idea to learning twice as fast. Then twice as fast again. Halving the cycle once is easy. Halving it every time is the job. Faster learnings. Better outcomes. We win by deciding faster with better evidence.
First six months- Spark has a written quality bar, an eval suite that runs on every change, and a weekly review you chair.
- Customer feedback attaches to the right capability and feature on its own, at a precision product teams trust. Executives read portfolio health on top of it.
- For every place Spark shows up in the product, you have decided whether people use it through our UI, headless via MCP from an agent like Claude, or both.
- Spark behaves the same way on every surface. One written document says when it acts, when it asks, how it shows its work, and how a person corrects it. Nothing new ships until critique has held it to that document.
- The design team has a critique cadence, a hiring plan and a written ladder, run by you.
- The Productboard MCP server is listed as a connector in the directories that matter: the Claude Connectors directory, the ChatGPT app directory, Grok, and the Cursor marketplace. MCP monetization runs on a clear, written strategy.
- You know what share of Productboard work runs headless, through MCP and APIs, against what runs through our UI. You report it monthly and it is moving toward headless.
In one line: a very strong PM domain and use case expert who has shipped a trusted agent, with great UX DNA. In the order we weight it:
- You know the product management job cold. You have run product management, or built products for product teams, and you understand discovery, prioritization, planning and roadmap communication from the inside. You know the use cases in detail: how feedback becomes insight, insight becomes a spec, and a spec becomes a roadmap, and where each step breaks today.
- You have shipped an agent where the hard problem was trust. What the agent shows, when it asks, how a person reviews its work, and what happens when it is wrong. You can argue, with evidence, when an agent should act and when it should wait.
- You run AI quality as a product discipline. You have owned evals for a shipped agent. You can read a trace, write a judge, and tell a model problem from a prompt problem from a product problem. You have held a release because the eval said no.
- You have great UX DNA. You notice the experience problem before the designer flags it, and you have agent design work you can show. UX here means the product experience, not visual or brand design. You manage designers directly, hire them, and run critique, and you have contributed design work of your own that shipped, not only reviewed theirs.
- You build with agents every day. You use Claude or its equivalent for real work, not to edit text. You have connected it to your own tools and data, built skills and multi step workflows that other people use, and you know where the model fails and how to fix the prompt, the context or the workflow.
- You are fluent in headless. You understand that the product will be used through agents, via APIs and MCP, and you can decide which screens stay and which go.
- You have a computer science or engineering background. You own the harness, the evals and the MCP surface, and those conversations go faster when you can read the code and the trace yourself.
- Your AI experience is model tuning or research. We need someone who has shipped agent behavior to customers.
- You are a platform PM. The platform has its own Head, and that search is open too.
- You are a brand or visual design leader. This role leads product design for the whole product, agent first.
- You cannot judge product design work yourself and rely on your designers to tell you what is good.
Shared benefits (all EMEA)
- 5 weeks of paid time off per year
- 9 paid sick days per year, also for mental-health days
- 1 paid Volunteer Day per year
- Stock options
- USD 300 per year professional development stipend
- Mental wellness program with online therapy sessions
- Carrot: fertility, adoption and family-forming support for you and your partner (pregnancy, postpartum and menopause support in the UK and Ireland)
- One-off home-office stipend (amount by location)
- Monthly fitness or wellness support (form by location)
- Free 1Password Families account
- Annual company retreat and team off-sites
Prague benefits
On top of the shared benefits:
- Multisport card, with options for a +1 and children
- Catered lunches in the office every working day, always with a vegetarian option
- Monthly office breakfast, plus snacks, coffee and drinks in the kitchen
- Dog- and kid-friendly office
- T-Mobile phone plan
- 14 days of paternity leave at full pay
- One-off home-office stipend of up to CZK 7,000
- Tickets to Prague Zoo
- Day camps for employees' children during school breaks
Health insurance and pension are statutory in Czechia, so there is no private plan here.
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
Productboard is an equal opportunity employer. We are committed to an inclusive hiring process and consider all qualified applicants without discrimination based on characteristics protected by applicable law.
By applying you agree to Productboard's Global Candidate Privacy Policy.
Skills Required
- Experience running product management or building products for product teams, with deep knowledge of discovery, prioritization, planning, feedback, specifications, and roadmaps.
- Experience shipping a customer-facing AI agent where user trust, review workflows, agent autonomy, and error handling were central challenges.
- Experience owning evaluations for a shipped agent, including reading traces, writing judges, and applying quality gates to releases.
- Strong product UX judgment and experience managing, hiring, and developing product designers while running design critique.
- Shipped product design work or meaningful design contributions, not solely design review responsibilities.
- Daily hands-on experience building with AI agents, including connecting agents to tools and data and creating skills or multi-step workflows.
- Fluency with headless product experiences delivered through APIs and MCP.
- Computer science or engineering background, with the ability to read code and agent traces.
- Legal authorization to work in the European Union.
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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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