About HappyRobot

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HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate - they make decisions, take action, and run operations autonomously across voice, email, and enterprise systems. Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for global enterprises worldwide.

Our platform is battle-tested in the most demanding environments - where AI has real consequences. We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy. Learn more about our vision in our manifesto.

About the Role
You’ll help make data a core part of how we build and improve HappyRobot’s products.

You’ll work closely with Product, Engineering, and Machine Learning teams to measure how changes to our models, agents,



and product features affect real-world performance. You’ll define meaningful metrics, design experiments, and conduct deeper analyses to understand how our agents create value for clients.

Your work will range from evaluating A/B tests and model changes to analyzing millions of conversations and workflows. You’ll turn complex data into clear insights that influence our product and ML roadmaps.

What You’ll Do

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- Define and track product, feature, and agent-level metrics.
- Design, run, and interpret A/B tests for model changes, prompts, agent behavior, workflows, and product features.
- Measure how the performance of our agents affects client outcomes, such as task completion, operational efficiency, response quality, and automation rates.
- Connect offline model evaluations with production performance and real-world customer impact.
- Conduct deep analyses across conversations, workflows, and pr

📌 Data Scientist (Barcelona)
🏢 Happyrobot
📍 Barcelona