Company Description We are a third-party recruiting partner representing a fast-growing enterprise AI company building production-grade conversational agents used by well-known brands. Backed by top-tier investors and recently funded at Series C, the company is scaling quickly and is investing in a world-class data function to drive product strategy and measurable business impact. What You Will Do Lead the design, implementation, and interpretation of rigorous experiments (A/B and multivariate) to inform product and customer experience decisions. Perform deep-dive analyses on user behavior, product performance, and business outcomes; translate findings into clear recommendations. Define and evolve core metrics, data models, and dashboards to ensure consistent, trustworthy reporting across teams. Partner with Product, Engineering, and leadership to embed measurement best practices into development cycles and launch reviews. Evaluate and help reason about machine-learning systems (including LLM-based features): clarify assumptions, trade-offs, and business implications. Contribute to the modern analytics stack (e.g., pipelines, modeling, and self-serve tools) that empowers company-wide decision-making. Communicate insights to executive and cross-functional audiences in a concise, persuasive way. Ideal Candidate Background 5+ years of experience in data science or product analytics with a track record of driving measurable product impact. Advanced proficiency in SQL and Python, and strong foundations in statistics and experimental design. Demonstrated experience designing, running, and analyzing experiments at scale for consumer, marketplace, or enterprise products. Ability to analyze and interpret ML model behavior, limitations, and impact on user outcomes. Excellent communication and stakeholder management skills; comfortable influencing product direction. Bachelor’s degree in a quantitative field (e.g., Data Science, Statistics, Mathematics, Computer Science) or equivalent practical experience. Ability to work on-site in San Francisco (five days per week). Preferred Experience building/maintaining analytics data models and metrics layers (e.g., dbt) and orchestrating pipelines (e.g., Airflow). Familiarity with modern warehouses/BI (e.g., Snowflake/BigQuery, Looker/Mode) and large-scale data processing (e.g., Spark). Prior work evaluating LLM or recommendation systems and developing evaluation frameworks for AI/ML features. Background in high-scale products with strong experimentation cultures. Experience mentoring other analysts/scientists and elevating experimentation/measurement practices. Compensation, Benefits, and Other Details Base Salary: $250,000–$300,000, based on skills, experience, and interview performance. Equity: Role is equity-eligible. Benefits: Our client offers a comprehensive benefits package that may include medical, dental, and vision coverage, paid time off, parental leave, retirement savings options, and commuter support. Specifics will be discussed during the interview process. Work Authorization: Candidates of all backgrounds are encouraged to apply. Work authorization and any sponsorship availability will be discussed confidentially with the recruiting team.

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