Join GoodData.AI's Professional Services team and build next-generation AI data applications on top of our Agentic Data Platform. We help Fortune 500 companies process and analyze hundreds of terabytes of data every day — and the frontend you ship is how they see it. You'll grow under senior tech leads and architects, taking on increasing scope as you ramp.
You'll join an autonomous frontend squad of 6–7 engineers inside a wider Professional Services Scrum team of 12–15 people covering data engineering, LDM (logical data model) design, metrics, and full-stack delivery on top of GoodData products. Your React work plugs straight into solid data foundations built by teammates you collaborate with directly.
How We Actually Work
We're an AI-native engineering team. That's not a buzzword — it's our day-to-day:
AI agents are part of the toolchain. Engineers work with Claude Code, Cursor, Codex, and other coding agents daily. We use them to scaffold, refactor, review, and automate.
You pick your stack — IDE, LLM provider, agent workflow. The team currently leans towards Anthropic, but pick what ships best work.
Rapid iteration, high bar. Senior tech leads and a strong collective keep quality high while velocity stays high. Guardrails, not gatekeeping.
Knowledge sharing is a habit. Regular internal workshops, frontend meetups, and open architectural discussions. What one of us learns, all of us learn.
Freedom and ownership. You decide how to solve the problem. We decide together what's worth solving.
What You'll Build
You'll develop custom dashboard plugins and full single-page applications for our largest clients, built on our open-source GoodData.UI React library.
Collaborate on customer solutions on the GoodData platform and GoodData.UI
Ship features end-to-end in an agile (Scrum) environment
Contribute to feature implementation and technical discussions alongside tech leads and architects
Review code deeply, write unit and integration tests, pair with QA to deliver production-grade software
Contribute ideas to our best practices, tech stack, and AI-assisted workflows
About You
Must have
3+ years professional JavaScript / TypeScript
Solid React experience (production projects)
Ability to attend the office occasionally
Solid grasp of modern browser app development (SPA architecture - we do Client Side Rendering)
Unit testing fluency (Vitest / Jest, React Testing Library)
Automated testing know-how (Cypress, Playwright)
Comfortable reviewing code — spotting bugs, asking good questions, learning patterns from seniors
Ownership mindset — good understanding what “done” means, ask for help early
Strong English and collaborative instincts (from time to time you need to present you work on Sprint Demos, join customer calls)
Genuine curiosity — for new tools, new problems, new ideas
Comfortable integrating AI tooling into your workflow (or eager to)
Nice to have
Client-facing experience
Experience mentoring juniors or leading small technical initiatives
Experience with design systems
REST API design and implementation
Git, Unix, solid documentation hygiene
AWS, Azure, Serverless, Containerization
Module Federation, Tailwind
BI industry or data modeling background (SQL)
GitHub Actions / CI pipelines
Authentication and SSO (OIDC, SAML, Auth0)
Why GoodData.AI
Real scale. Fortune 500 customers, worldwide reach.
Modern engineering culture. AI-assisted, agent-driven, senior-led, quality-obsessed.
Autonomy. Tools, patterns, and problem-solving approach — your call.
Growth. Workshops, meetups, direct mentorship from senior engineers and architects — clear path from medior to senior
About GoodData.AI
At GoodData.AI, we’re building the future of agentic AI for data intelligence.
Our full-stack data intelligence platform empowers companies to turn raw data into real business impact — from agentic AI apps to embedded analytics that scale securely and seamlessly. With GoodData.AI, organizations don’t just analyze data, they monetize it.
But what really sets GoodData.AI apart is our mission: to put intelligence wherever decisions are made. That’s why we’ve built a platform that’s AI-native, composable, and built for the way modern enterprises work.
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