Staff Full-stack Product Engineer (Prague/Brno/Remote EU) Prague, Czechia Apply now Department Product Engineering Employment type Full Time Workplace type Hybrid Share this job Only the best engineers are being built here. At Productboard, we are defining AI-first Product Engineering.
Not as a one-time achievement, but as a baseline we raise every time we reach it. We remove every bottleneck as it surfaces and rebuild how product teams work from first principles, not just adding AI to existing workflows. AI tools are everywhere now. Agents can write code. That’s today’s baseline.
What we're building is the environment where the baseline makes you better: focused on outcomes, writing specs that agents build from, leveling up with every feature you ship. We are defining what AI-native product development becomes. We're all in.
What you would build You'd lead the architectural work that makes our codebase AI-native. Specifically: 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. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out. The opportunity The first shift in our teams has already happened: agents write code. That’s the baseline everywhere.
Now we’re building an AI-first Product Engineering organization where learning matters as much as shipping. Only a few companies build a product that makes them better. What we’re building next is a single place where work lives. Specs, plans, and full product context live in Productboard.
There’s a seamless loop between Spark, our AI agent, and the coding agents. Engineers can steer from anywhere and focus on directing the work instead of typing it all out.