{"id":1125279,"url":"https://alion.io/job/productboard-ai-data-engineer","title":"AI Data Engineer","company":{"id":54857,"name":"Productboard","domain":"productboard.com","url":"https://alion.io/company/productboard","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Gem","truth_index":{"grade":"A","score":91,"open_postings":8,"ghost_share":0,"stale_share":0.375,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Prague, Czech Republic"],"countries":["CZ"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1000000,"max":1680000,"currency":"CZK","period":"year","gross":null,"usd_annual":77529},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Looker","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"Power BI","optional":true},{"name":"Pydantic AI","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-18T08:36:43Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-10-17T13:21:03Z","board_verified":true,"closed_at":null,"days_open":29,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":29},"description":"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.\nYou 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.\nWhat you will do\nBuild Agentic Systems: Design and deploy multi-agent workflows that can reason, use tools, and provide proactive insights across internal domains.\nEngineer LLM-ready data. Shape the data model and build a semantic layer that serves as the clean context our AI agents depend on.\nMake 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.\nBuild and maintain pipelines. Develop the dbt models and Snowflake pipelines that power reporting across revenue, marketing, and product events.\n 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.\nContribute 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.\nAbout You\nExperience: 18+ months in data engineering, analytics engineering, or a similar role.\nFluent 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.\nSQL and Python: Strong hands-on experience building and maintaining Python and SQL pipelines.\ndbt and cloud warehousing: Hands-on experience with dbt and production ETL pipelines, and familiarity with a modern cloud data platform such as Snowflake.\nQuality-minded: You care about testing, maintainability, and reliability, and you're comfortable with Git, code review, and CI/CD fundamentals.\nEducation: Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related quantitative discipline.\nCollaborative: You work well in a fast-moving, cross-functional, multinational environment, and communicate clearly in English.\nNice to Have\nExperience building AI agents or LLM-powered workflows with frameworks such as the Claude Agent SDK, LangGraph, or PydanticAI.\nExperience building an AI agent-native semantic layer.\nExperience running large data warehouses, data lakes, or lakehouses in production.\nFamiliarity with orchestration or ETL platforms such as Keboola, Airflow, or similar.\nExposure to analytics platforms such as Looker, Power BI, or Tableau.\nExperience with AWS.\nFamiliarity with Docker, Terraform IaaC, or other DevOps tooling.\nExperience in a fast-moving AI-native SaaS company.\nOur Tech Stack\nAI ecosystem: an internal agentic platform built on frontier models, the Claude Agent SDK, and custom MCP servers.\nData foundation: Snowflake, dbt, Keboola, and AWS.\nEngineering practices: GitHub for version control, code review, and CI/CD via GitHub Actions.\nLanguages: SQL for dbt-powered transformation, Python for pipeline logic and tooling. You'll deepen both here.\nAnalytics and event tracking: Looker, Amplitude, and Segment.\nOur Compensation\nSalary range: 1,000,000-1,680,000 CZK annually\nOur benefits include\n Stock options\n MacBook + 34″ monitor\n Work from home stipend to support your home office setup\n 5 weeks of vacation + 9 sick days\n Flexible working hours and home office\n Budget for online courses, books, and conferences\n 2 weeks of fully paid parental leave\n Fertility & Family-Building Support with Carrot\n Mental Wellness Program with Soulmio to support your well-being and self-care\n 1 Volunteer Day per year to support causes close to your heart, plus donation matching from Productboard\n Free snacks, drinks, and yummy catered lunches from White Circus at the office every day\n Free MultiSport card\n On-site bouldering wall, boxing bag, and workout mats\n Team events, such as happy hours, off-sites, and retreats\n Free year-round access to Prague Zoo\nRelocation Opportunities\nIf joining us means making a move, we're here to help make that transition easier.\nCandidates 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.\nRelocation Support\nWe 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.\nThis 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.\nIf you're thinking about relocating and want to explore what this could look like for you, we'd be happy to have that conversation.\nAbout Productboard\nProductboard 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.\nWe'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.\nAre you building with us?\nIf the work above is what you want to spend the next chapter of your career on, apply below!\nEqual Opportunity\nProductboard 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. 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