Job Details

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.