Product Engineer - Growth (remote/gmt/cet)

Weaviate Weaviate · Data AI · GMT +1 · Weaviate Cloud Console

Product Engineer focused on growth for Weaviate Cloud, an AI-native vector database. The role involves building and iterating on PLG features, identifying and resolving user journey friction through data insights, and collaborating cross-functionally to improve the end-to-end user experience. The engineer will own the full loop of instrumenting, shipping, measuring, and iterating on product features.

What you'd actually do

  1. Build and iterate on Weaviate Cloud products and product-led-growth (PLG) levers - including onboarding flows, in-product prompts, and expansion paths - with a focus on usability and feature adoption
  2. Identify and resolve friction in the Weaviate Cloud user journey by instrumenting end-to-end flows, tracking key product metrics (activation, engagement, retention), and acting on data insights
  3. Talk to our users directly to build firsthand empathy for the developer experience and surface insights that data alone won’t reveal
  4. Partner cross-functionally with Product, Design, Growth, Web, and Documentation teams to run experiments and create a cohesive user experience across all touchpoints
  5. Contribute to frontend and backend systems that support scalable, high-quality product experiences, including code reviews, automated tests, and production issue resolution

Skills

Required

  • 4–5 years of engineering experience (full-stack or frontend-leaning)
  • Strong frontend skills (React, Next.js, TypesScript)
  • ability to work across the stack
  • Golang in the backend
  • Solid engineering fundamentals
  • track record of shipping production-quality code
  • Strong product intuition
  • Proficiency in CI/CD practices
  • experience deploying and operating continuously deployed applications in production

Nice to have

  • Demonstrable experience working on product-led growth initiatives (e.g., onboarding flows, activation funnels, experimentation)
  • Experience instrumenting applications (analytics, event tracking, funnels, etc.) and using data to inform decisions
  • Knowledge of No/SQL databases, including Postgres and MongoDB

What the JD emphasized

  • own the full loop
  • own outcomes
  • shipping

Other signals

  • AI-native vector database
  • AI startup
  • Product Engineer - Growth
  • Product-led-growth (PLG) levers
  • instrument, ship, measure, and iterate