Born in Y Combinator (S23) and backed by a16z and Base10 with over $60M raised, we power critical operations for integral enterprises worldwide.

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.

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 product usage to identify opportunities and explain differences in performance. Partner with Engineering to improve instrumentation, data quality, experimentation systems, and analytical data models.



Build dashboards and self‑serve tools that help teams understand product and agent performance. 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. ~ Ability to translate ambiguous product questions into rigorous analyses and actionable recommendations. ~ Experience partnering closely with Product, Engineering, or Machine Learning teams. ~ Familiarity with ML evaluation systems and the relationship between offline evaluations and online metrics.

Experience analyzing conversational, NLP, speech, or other unstructured data.

Experience combining quantitative analysis with qualitative methods such as conversation reviews, customer feedback, surveys, or user research. Familiarity with modern analytics infrastructure, data warehouses, experimentation platforms, and business intelligence tools. Ownership & Autonomy – Take full ownership of projects and ship fast.

Comprehensive

Benefits – Healthcare, dental, vision coverage. #

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