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Data Scientist, AgentLovable · Stockholm
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Lovable

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Data Scientist, Agent

🗓️ Posted 2026-08-06 Stockholm Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 45,000 SEK–70,000 SEK/mo

About the Company

TL;DR - You own how we measure and improve Lovable's AI agent. You build the eval systems and experiments that tell us whether a change makes the agent better or worse, and you turn agent telemetry into the fixes that raise success rates and cut errors. At Lovable, data scientists are not isolated model-builders; they sit close to the product, experimenting continuously with how intelligence changes user behavior and product dynamics. WHY LOVABLE Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we're just getting started. We're building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world. Lovable is one of TIME's 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecti

Responsibilities

  • ● Define and own the metrics for agent quality: success, completion, error rates, and the behaviors that drive them.
  • ● Build the eval systems and experiment framework that decide whether an agent change ships, like an A/B-tested rollout that catches a change increasing errors before it reaches everyone.
  • ● Turn agent traces and telemetry into concrete fixes, working directly with the agent engineering team.
  • ● Build the tooling and agents that produce these evaluations continuously as the agent evolves.
  • ● Set the bar for how we judge agent behavior where there is no answer key to check against.
  • ● OUR TECH STACK
  • ● Languages: SQL and Python
  • ● LLM evaluation & observability: Braintrust, OTEL tracing, many LLM providers
  • ● Warehouse & events: BigQuery, PubSub
  • ● Analytics & product: Hex, Lovable Apps
  • ● Experimentation: A/B and growth testing
  • ● And always on the lookout for what's next.
  • ● Fill in a short form and jump on an intro call with our recruiting team
  • ● A call with the hiring manager
  • ● A take-home case study
  • ● A Most Impressive Project session
  • ● Cross-functional interviews with the people you'd work with
  • ● A final conversation with leadership
  • ● ABOUT YOUR APPLICATION