Staff AI-First Full-Stack Engineer

Productboard, Inc.; Polska; Hybrid; PLN 412,000 - 594,000; Full time

Benefits offered by this job

Stock options

MacBook + 34″ monitor

Work from home stipend

5 weeks vacation + 9 sick days

Flexible working hours

Budget for online courses, books, and

9 sick days

Job summary

Productboard, Inc. is hiring a Staff Full-stack Engineer to own the architectural layer for AI-native product features. You will work with engineers, PMs and designers to ship end-to-end AI-first capabilities, writing code and setting technical direction. Your north star is turning ideas into validated learning twice as fast.

This role includes relocation support to Prague and the opportunity to shape complex agentic systems, with a compensation range reflecting seniority and impact.

Qualifications

• 6-10+ years of production software engineering experience.
• Strong backend skills in Python, Kotlin, or Java.
• Hands-on LLM experience in real products: prompt design, context management, evaluation.
• Experience with distributed systems and event-driven architectures.
• Daily use of AI coding tools as a core part of your workflow.
• Former founding engineer or founder; turns business insights into prototypes.

Responsibilities

• Own the architectural layer that makes AI-native product features real, working with engineers, PMs and designers.
• Ship code, set technical direction, and shape decisions about what’s worth building.
• Drive rapid validated learning from ideas to outcomes.

Skills

6-10+ years

Python

Kotlin

Java

LLM experience

Prompt design

Context management

Evaluation

Distributed systems

Tools

PostgreSQL

MongoDB

Elastic

Redis

Keboola

Looker

Snowflake

Terraform

Kubernetes

AWS

Job description

Productboard, Inc. is hiring a Staff Full-stack Engineer to own the architectural layer for AI-native product features. You will work with engineers, PMs and designers to ship end-to-end AI-first capabilities, writing code and setting technical direction. Your north star is turning ideas into validated learning twice as fast.

This role includes relocation support to Prague and the opportunity to shape complex agentic systems, with a compensation range reflecting seniority and impact.