Staff Frontend Product Engineer (Fixed-term Contract) 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. This role is initially offered as a fixed-term contract, with the possibility to extend.
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 will build Make our codebase AI-ready: define clear module boundaries, improve API contracts, add semantic context, and build the structured documentation that makes AI agents more effective across every repo.
Design and implement agent workflows that go beyond chat: multi-step reasoning, tool use, autonomous task execution, and human-gated checkpoints. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. 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. Run experiments, validate with real users, and iterate based on evidence.
We measure learning velocity, not just output Collaborate closely with product managers and designers to shape what we build, not just how we build it. We expect a product mindset, not just technical execution.
Act as a knowledge multiplier, sharing what you learn across and beyond your team to raise the bar for everyone. The opportunity The first shift in our teams has already happened. 2,295,000–3,305,000 CZK annually