About the Job
Our vision: A world where everyone is free to focus on their most purposeful work, together.
Wrike is opening a new talent track for builders- senior engineers who take a feature from a rough idea to a production system on their own, and who use AI as a genuine multiplier rather than a buzzword. This isn’t a backfill for an existing seat. It’s a newly created role for someone who already operates autonomous...
AI is not optional here. You’re expected to work AI-native: using it daily to move faster, and knowing when to push back when it suggests something that doesn’t hold up. If you’ve written your own automation, scripts, or internal tooling to remove friction from your own workflow, that’s exactly the instinct we’re hi...
Key Responsibilities
Take ambiguous, high-level product ideas and turn them into a concrete technical plan- by asking the right people the right questions, not waiting for a fully written spec
Designed, built, and shipped end-to-end features across the full stack- including a Java/Spring backend, REST APIs, data layer, testing, infrastructure touches, and rollout- while utilizing modern frontend technologies like TypeScript, React 19, Microfrontends, and Module Federation, alongside legacy Dart components.
Navigate a real, living codebase- deciding what to reuse, what to rebuild, and holding the line against unnecessary tech debt
Think in systems: anticipate second-order effects before they become incidents
Make technical and product tradeoff calls yourself, manage the risk, and push things over the finish line
Use AI tools (Cursor, Claude/Codex, our internal AI portal and MCP) as a daily part of how you build- including writing your own automations and skills where they save real time
Challenge AI output and product asks alike when they don’t hold up- critical thinking is part of the job, not a side skill
Required Skills & Abilities
Strong full-stack engineering experience, with deep comfort in Java (21), Spring, REST APIs, and SQL, TypeScript, React 19
A track record of owning features or systems end-to-end, not just executing a fully-specified ticket
Experience navigating and improving an existing, non-trivial codebase- this isn’t a greenfield role
Advanced, hands-on use of AI coding tools as part of your daily workflow- you’re past the learning curve already
Comfort making decisions under ambiguity and owning the outcome, good or bad
Backgrounds we tend to see succeed here: technical founders, early engineers at startups who built the first version, small-company CTOs/Heads of Engineering, or senior engineers with active, recent open-source or side-project work
Java (21), Spring, REST APIs, SQL
TypeScript, React 19, Redux, Dart
PostgreSQL, Redis, RabbitMQ
Unit/integration testing, Java web stack
AI tooling: Cursor, Claude/Codex, Zencoder, internal AI portal, internal MCP
