Product Engineer - Growth (Remote/GMT/CET)

Posted Yesterday
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Hiring Remotely in Time, Mopti, MLI
Remote
Mid level
Artificial Intelligence • Machine Learning • Software • Database
The Role
Own and iterate on Weaviate Cloud product experiences to improve activation, time-to-value, and user expansion. Instrument and measure user flows, run experiments, build frontend and backend features (React/Next.js, TypeScript, Go), collaborate with Product, Design, Growth, Web, and Docs, and ship production-quality code with CI/CD and tests.
Summary Generated by Built In
About Weaviate

Weaviate is an AI startup with open source and creativity at its core. Our AI-native vector database uses machine learning to create meaningful insights from unstructured data in a completely new way. Named one of Forbes’ Top 50 AI startups, and with over a million monthly downloads, Weaviate is quickly growing in popularity with developers and enterprises alike.

Our team members work remotely across the globe with the flexibility to work from anywhere and at any time. Our people experience this as a massive benefit! Operating with a strong sense of ownership and collaboration, our teams prioritize results while empowering each individual to do their best work.

About this role

Weaviate Cloud is how most developers first experience Weaviate. This role exists to make the Weaviate Cloud experience exceptional.

As a Product Engineer, you won’t just build features handed to you, but dig into usage data, spot where users get stuck or drop off, and decide what to build next. You’ll own the full loop: instrument, ship, measure, and iterate. Your work will directly move metrics like product activation, time-to-value, and user-driven expansion.

You’ll also collaborate closely with our Web and Documentation teams to unify the end-to-end user experience across the Weaviate console, website, and documentation, to ensure that users move fluidly from discovery to adoption.

Who we’re looking for

You thrive at the intersection of engineering, UX, and growth. You care as much about why users behave a certain way as how to build the fix. You move quickly, learn from real usage data, and own outcomes, and not just output.

You’re a strong communicator who’s comfortable working across teams, and you’re aligned with our company values. You bring a collaborative mindset and a bias toward shipping.


This is what you’ll be doing
  • 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

  • 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

  • Talk to our users directly to build firsthand empathy for the developer experience and surface insights that data alone won’t reveal

  • Partner cross-functionally with Product, Design, Growth, Web, and Documentation teams to run experiments and create a cohesive user experience across all touchpoints

  • Contribute to frontend and backend systems that support scalable, high-quality product experiences, including code reviews, automated tests, and production issue resolution

  • Bring a strong sense of ownership - ship features, measure impact, and iterate quickly

What we are looking for 
  • 4–5 years of engineering experience (full-stack or frontend-leaning)

  • Strong frontend skills (React, Next.js, TypesScript) with the ability to work across the stack; we use Golang in the backend

  • Solid engineering fundamentals and a track record of shipping production-quality code

  • Strong product intuition - think about why something should be built, not just how

  • Proficiency in CI/CD practices, with 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 we offer
  • 100% remote with flexible work hours.

  • Competitive compensation, including paid time off.

  • Budget available to spend on going to conferences, co-working space, home office equipment, etc.

  • Work with very experienced and fun team members.

  • An atmosphere that encourages learning and personal growth, and that gives you lots of freedom, flexibility, and responsibilities.

  • You will work at the forefront of search, ML/AI, and cloud-native technologies - and all of it is open source.

Are you interested?

Have a look at this page to learn what you can expect from our interview process. Be aware that conducting a background check is part of our onboarding.

If you’re interested in Weaviate and this role, please apply through this vacancy. We’ll be in touch in response to your application. This way, we can ensure you have the best experience while allowing our team to focus on doing their best work.

Skills Required

  • 4-5 years of engineering experience (full-stack or frontend-leaning)
  • Strong frontend skills with React, Next.js, and TypeScript
  • Ability to work across the stack; familiarity with Golang backend
  • Solid engineering fundamentals and track record of shipping production-quality code
  • Proficiency in CI/CD practices and operating continuously deployed production applications
  • Strong product intuition and ability to prioritize user outcomes
  • Strong communication and cross-team collaboration skills
  • Experience working on product-led growth initiatives (onboarding, activation, experimentation)
  • Experience instrumenting applications (analytics, event tracking, funnels)
  • Knowledge of No/SQL databases such as Postgres and MongoDB
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The Company
0 Employees

What We Do

Weaviate is an open-source, AI-native vector database that enables developers to build and scale AI applications efficiently. It provides the storage, management, and retrieval of data objects represented as vectors, supporting semantic and hybrid search capabilities. Designed for the modern AI ecosystem, Weaviate serves as a foundation for vector search, RAG, and memory, allowing organizations to launch production-ready AI applications faster.

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