Autonomous AI workers that communicate, coordinate, and operate at scale across the real economy. Backed by Y Combinator and a16z.
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.
What they're looking for
- 4+ years of experience in Data Science, Product Analytics, or another highly quantitative product role
- Strong experience with experimental design, A/B testing, statistics, causal inference, and hypothesis-driven analysis
- Advanced proficiency in SQL and Python
- Experience defining and operationalizing product and feature metrics
- Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations
- Strong product instincts and the ability to distinguish statistical significance from meaningful product or customer impact
More about this role
HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Our AI workers don't just communicate through voice and email - they make decisions, take action, and run operations autonomously across entire enterprise systems. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo with over $150M 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.
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...
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