Engineering Manager (Developer Experience and Platform)
Prague · EuropeFull-timeup to $13kPosted Jul 31, 2026
Only the best engineers are being built here.
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.Salary range (annual, CZK): 2,950,000 - 4,430,000.
The opportunity
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 career
Platform 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.
What you will do
- 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.
About you
- 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.
- Experience owning infrastructure, cloud cost and capacity planning, as well as engineering tooling, vendor management, and FinOps.
Our tech stack
- 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]