- Agent-native architecture. API contracts, semantic naming, and module boundaries are clear enough that an AI agent can find the right code and change it without a human pointing the way. The patterns hold as the system grows.
- 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.
- 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.
- Agents that finish a task, not just answer a question. A ticket goes in, a pull request comes out, a human approves before it merges. In product features, not internal demos.
- AI code review that catches the real issues. Correctness, security, and maintainability flagged before a human opens the PR, with the false positives filtered out so reviewers trust it.
- Drive product strategy and outcomes across multiple teams, ensuring tight alignment with Product and Design leadership.
- Drive high-impact cross-functional initiatives from first principles, making decisive calls based on evolving evidence.
- Challenge and refine top-level problem statements through data-driven counter-proposals in direct dialogue with the CTO.
- Provide expert architectural oversight, surfacing critical tradeoffs and raising the bar in senior-level design reviews.
- Operationalize an AI-first culture by implementing agent-operable runbooks, incident response, and onboarding workflows.
- Balance long-term domain health with short-term initiative velocity through strategic resource management.
- Cultivate the next generation of leadership by actively coaching and developing future EMs and Tech Lead Managers.
- Scale the organization through deliberate hiring, maintaining a high talent bar and efficient recruitment loops.
- Make the success of your area visible and create a sense of pride for the achievements done.
- 4+ years in team management, with a track record of growing both individuals and the team as a whole — including developing future managers or TLMs.
- A strong technical background. You independently evaluate architecture across teams, are trusted as a peer in design reviews, and can explain how your domain is built, performs, and scales without scheduling a meeting.
- A proven track record of driving initiatives across a broader surface than a single team — you've set first-principles direction, made hard scope and kill calls, and owned the outcome.
- You don't just raise problems — you refine them. You bring counter-proposals with evidence, push back when the framing is wrong, and update your position when the data changes.
- You value direct feedback, both given and received. We embrace the approach of Radical Candor. Always with good intent, always constructive.
- Great communication is expected. Fluency in English—our team consists of 14+ nationalities in different Geos.
- An experience building complex B2B SaaS admin experiences is a plus.
- 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 — and you build the agent-first conditions that make your whole area compound.
- 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]
Skills Required
- 4+ years in team management
- Strong technical background with ability to evaluate architecture, performance, and scalability independently
- Proven track record driving cross-team initiatives and owning outcomes
- Experience coaching and developing future engineering managers or tech lead managers
- Fluency in English and strong communication skills
- Regular use of AI coding assistants and experience building agent-first conditions
- Experience building complex B2B SaaS admin experiences
- Legal right to work in the EU (no visa sponsorship provided)
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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