The opportunity

The way software is built is changing, and fast! Engineers who embrace AI-native workflows today will define the next decade of product development. Those who don’t? They will be explaining what they used to do.

At Productboard, this transformation to being AI native is not a side project; it is our entire focus. AI first is our operating model, and this is how we work. We are building an AI-first Product Engineering organization where learning velocity matters as much as shipping. Our northstar: turn ideas into validated learning twice as fast. More experiments. Tighter feedback loops. Better outcomes.

We are looking for a Frontend/Fullstack Engineer who wants to be at the center of this transformation, not watching it happen from the outside. Join us, and help shape the future of AI-powered product development.

Why this matters for your career

The gap between engineers who are building with AI daily and those who are still watching is widening fast. At Productboard, you won't just use AI tools. You will shape the architecture that makes AI agents effective, define the workflows that make them reliable, and build the evaluation systems that make them trustworthy. You will work in an environment where AI first is not a future aspiration. It is the current standard.

The skills you build here, agent native design, multi-model orchestration, eval-driven development, AI-ready codebase architecture, are the skills that will define senior engineering for the next decade.

AI is how we build

This is not a tagline. It is our daily operating model across Engineering, Product, and Design. PMs and designers don't just spec features here. They prototype with AI tools and ship to production alongside engineers.

AI is embedded across the full lifecycle: technical discoveries, spec writing, design exploration, implementation, test generation, code review, CI/CD, and incident resolution. Human judgment stays in control. People own product intent and quality decisions, with strong review practices and guardrails that keep shipping safe.

What we are building underneath:

Agent native architecture standards: clear API contracts, semantic naming, and well-defined module boundaries that keep AI effective as systems grow.
A context infrastructure layer with repo versioned guidance that AI tools automatically load, improving the output of Cursor, Claude Code, and Codex simultaneously.
AI agent workflows for on-call and incident resolution: triage alerts, pull logs, surface relevant history, and suggest remediation.
Systematic optimization of AI code review to catch correctness, security, and maintainability issues earlier.

What you will do

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.

About you

Have 5+ years of professional engineering experience.
5+ years of experience building web apps.
Experience with single page applications built with JavaScript required.
Experience with our favorite approaches and frameworks preferred (TypeScript, React, Continuous and Progressive Delivery with Feature Flags).
You have a track record of taking ownership for public-facing features through the entire discovery, design, and delivery process, coordinating the successful outcome for your team under the guidance of your manager.
You've worked on teams where you've owned and operated your own services, and you've had direct responsibility for some or all of.
Production Debugging and Incident Resolution.
CI/Deployment pipelines.
Progressive Delivery with Feature Flags.
Tooling and Developer Experience
Automated Testing
Analytics
A solid understanding of functional programming principles.
Bonus points if you’re passionate about AI technologies and have a strong curiosity about their potential impact.
Confident designing frontend architecture and passionate about performance.
Experience mentoring and helping teammates, doing code reviews and pair-programming.
Drive to have the editor and tooling set up perfectly.
The initiative to fix something that's broken, rather than waiting for someone else to do it.
Able to win a debate on tabs vs. spaces conducted entirely in English.
Bring product thinking to engineering work. You can articulate why something matters for users, not just how it works technically.
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.
Are curious about what agent native architecture looks like: how to structure codebases, APIs, and documentation so AI agents can operate effectively at scale.

Our tech stack

Frontend: TypeScript, React.js
Backend: TypeScript/Node.js, Ruby, Kotlin, Kafka
Storage: Postgres, Elastic, Redis
Data Pipeline: Python, Keboola, Looker, Snowflake
Infrastructure: AWS, Kubernetes, Terraform
Business tools: Slack, Jira, Google suite, Zoom, Notion
Full Tech Stack

Our Benefits Include

💰Stock options

💻 MacBook + 34″ monitor

📚 Budget for online courses, books, and conferences

🏝️ 5 weeks of vacation + 9 sick days

🫶 Volunteer Days for you to help causes close to your heart

🥕 Carrot Fertility Benefits

🥗 Free snacks, drinks, and yummy catered lunches

🏋️‍♂️ MultiSport card to access sports facilities

⏰ Flexible working hours and home office

🧑‍🧑‍🧒‍🧒 Parental benefits

🗣️ Language lessons

🍀 Mental Wellness Program to support your well-being and self-care

Frontend/ Fullstack Engineer