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Productboard is the intelligent product management platform that helps future-ready product teams drive strategic alignm
The Role
Build AI-native data engineering agents, multi-agent workflows, semantic layers, evaluation frameworks, monitoring, and reliable data pipelines. Develop dbt and Snowflake models supporting revenue, marketing, and product analytics while improving data quality, testing, documentation, and deployment practices. Collaborate with Analytics, BizOps, Product, and Engineering teams to deliver self-service AI-enabled analytics.
Summary Generated by Built In
Productboard is looking for an AI Data Engineer to join our Data Engineering team. You'll help build AI-native data engineering agents and a platform behind Productboard's analytics and business operations. You’ll help unlock AI-enabled analytics for fast and precise self-service data analytics.
You are already an AI-native builder, experienced in modern data engineering, and you want to blend those fields together. You'll start by working alongside experienced engineers to implement AI-first analytics, streamline and optimize data pipelines, and progressively take ownership of your own area, including our internal AI platform.
What you will do- Build Agentic Systems: Design and deploy multi-agent workflows that can reason, use tools, and provide proactive insights across internal domains.
- Engineer LLM-ready data. Shape the data model and build a semantic layer that serves as the clean context our AI agents depend on.
- Make agents reliable and fast to ship. Build evaluation frameworks and monitoring suites so agent outputs stay accurate, governed, and safe, and create reusable patterns that move prototypes to production quickly.
- Build and maintain pipelines. Develop the dbt models and Snowflake pipelines that power reporting across revenue, marketing, and product events.
- Keep data trustworthy. Investigate and resolve data quality issues, support stakeholders with ad-hoc requests, and adopt (then help evolve) the team's practices around testing, documentation, and monitoring.
- Contribute to how we work. Take part in code review, testing, deployment, and monitoring, and take ownership of part of it over time. Work directly with Analytics, BizOps, Product, and Engineering on what they need from the data.
- Experience: 18+ months in data engineering, analytics engineering, or a similar role.
- Fluent with AI coding tools: You use tools like Claude Code, Cursor, or GitHub Copilot in your daily workflow, and know where they speed you up without lowering your standards.
- SQL and Python: Strong hands-on experience building and maintaining Python and SQL pipelines.
- dbt and cloud warehousing: Hands-on experience with dbt and production ETL pipelines, and familiarity with a modern cloud data platform such as Snowflake.
- Quality-minded: You care about testing, maintainability, and reliability, and you're comfortable with Git, code review, and CI/CD fundamentals.
- Education: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related quantitative discipline.
- Collaborative: You work well in a fast-moving, cross-functional, multinational environment, and communicate clearly in English.
- Experience building AI agents or LLM-powered workflows with frameworks such as the Claude Agent SDK, LangGraph, or PydanticAI.
- Experience building an AI agent-native semantic layer.
- Experience running large data warehouses, data lakes, or lakehouses in production.
- Familiarity with orchestration or ETL platforms such as Keboola, Airflow, or similar.
- Exposure to analytics platforms such as Looker, Power BI, or Tableau.
- Experience with AWS.
- Familiarity with Docker, Terraform IaaC, or other DevOps tooling.
- Experience in a fast-moving AI-native SaaS company.
- AI ecosystem: an internal agentic platform built on frontier models, the Claude Agent SDK, and custom MCP servers.
- Data foundation: Snowflake, dbt, Keboola, and AWS.
- Engineering practices: GitHub for version control, code review, and CI/CD via GitHub Actions.
- Languages: SQL for dbt-powered transformation, Python for pipeline logic and tooling. You'll deepen both here.
- Analytics and event tracking: Looker, Amplitude, and Segment.
Salary range: 1,000,000–1,680,000 CZK annually
Our benefits include- Stock options
- MacBook + 34″ monitor
- Work from home stipend to support your home office setup
- 5 weeks of vacation + 9 sick days
- Flexible working hours and home office
- Budget for online courses, books, and conferences
- 2 weeks of fully paid parental leave
- Fertility & Family-Building Support with Carrot
- Mental Wellness Program with Soulmio to support your well-being and self-care
- 1 Volunteer Day per year to support causes close to your heart, plus donation matching from Productboard
- Free snacks, drinks, and yummy catered lunches from White Circus at the office every day
- Free MultiSport card
- On-site bouldering wall, boxing bag, and workout mats
- Team events, such as happy hours, off-sites, and retreats
- Free year-round access to Prague Zoo
If joining us means making a move, we're here to help make that transition easier.
Candidates must have the legal right to work in the EU. While we are unable to provide visa sponsorship for this role, we're happy to support relocation to Prague for candidates already authorized to work in the EU.
Relocation Support
We offer a one-time relocation bonus ranging from $6,000 to $13,000 USD, depending on your personal situation, whether you're moving on your own or with a partner or family.
This bonus is intended to help offset moving expenses and support your transition into your new city. While it may not cover every cost, it provides meaningful financial support as you get settled.
If you're thinking about relocating and want to explore what this could look like for you, we'd be happy to have that conversation.
About ProductboardProductboard is the leading intelligent product management platform, used by 6,000+ companies including Salesforce, SAP, Autodesk, and Kroger. Headquartered in San Francisco, with engineering hubs in Prague and Brno. Backed by Index Ventures, Kleiner Perkins, Sequoia Capital, Bessemer, Tiger Global, and Dragoneer.
We've spent the last decade building the foundation for how product teams work. We're now in our 0-to-1 moment again, building Productboard Spark — the AI-first, agentic experience that turns raw feedback and signals into clear problems, strong specs, and faster execution. Spark is what powers everything you'd be working on.
Are you building with us?
If the work above is what you want to spend the next chapter of your career on, apply below!
Equal Opportunity
Productboard is an equal opportunity employer. We are committed to an inclusive hiring process and consider all qualified applicants without discrimination based on characteristics protected by applicable law. If you require an accommodation during the hiring process, please contact [email protected].
By applying you agree to Productboard's Global Candidate Privacy Policy
Skills Required
- At least 18 months of experience in data engineering, analytics engineering, or a similar role
- Daily experience using AI coding tools such as Claude Code, Cursor, or GitHub Copilot
- Strong hands-on experience building and maintaining Python and SQL pipelines
- Hands-on experience with dbt and production ETL pipelines
- Familiarity with a modern cloud data platform such as Snowflake
- Experience with testing, maintainability, reliability, Git, code review, and CI/CD fundamentals
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related quantitative discipline
- Ability to collaborate in a fast-moving, cross-functional, multinational environment and communicate clearly in English
- Experience building AI agents or LLM-powered workflows with Claude Agent SDK, LangGraph, or PydanticAI
- Experience building an AI agent-native semantic layer
- Experience operating large data warehouses, data lakes, or lakehouses in production
- Familiarity with orchestration or ETL platforms such as Keboola or Airflow
- Exposure to Looker, Power BI, or Tableau
- Experience with AWS
- Familiarity with Docker, Terraform, or other DevOps tooling
- Experience in a fast-moving AI-native SaaS company
- Legal right to work in the European Union
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The Company
What We Do
Productboard is the intelligent product management platform that helps future-ready product teams deliver exceptional products with clarity and confidence. Over 6,000 companies, including Salesforce, Autodesk, Zoom, One Medical Group, Cartier, and The Coca-Cola Company use Productboard to uncover customer needs, drive strategic alignment, and rally everyone around the roadmap. With offices in Prague and San Francisco, Productboard is backed by leading investors, including Index Ventures, Kleiner Perkins, Sequoia Capital, and Bessemer Venture Partners. Learn more at [www.productboard.com](http://www.productboard.com/)
Why Work With Us
We believe that truly great products are not created by individual geniuses but by a great group of people that leverages everyone’s curiosity and creativity. That is why our mission at Productboard is to **make products that matter, together**. We are a global company with a stimulating, multicultural environment.
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