Founding Automated AI Product Engineer- Data Scientist

Founding Forward Deployed Data Scientist

San Francisco, CA (4 days/week onsite)

Our client is building an AI-native product engineer that helps teams understand what to build next. Instead of relying on instinct or fragmented analysis, their platform automatically synthesizes user behavior and feedback to produce a clear, prioritized roadmap for product teams.

They are hiring a Founding Forward Deployed Data Scientist to work directly with customers, extract high-leverage insights, and build the analytics foundation that powers their product.

This is a true early-stage role (team of
5) with significant ownership, autonomy, and upside.

This role is ideal for someone who has considered founding a company but wants meaningful equity and product impact without taking full founder risk.

• Work directly with customers to understand workflows and analytics needs
• Own product analytics from insight generation through implementation
• Build and ship analytics frameworks adopted by product and growth teams
• Design and evaluate experimentation frameworks (A/B tests, diff-in-diff, matched markets, etc.)
• Apply causal inference techniques to real-world product decisions
• Develop internal tooling in Python (automation, APIs, workflow acceleration)
• Leverage LLMs (prompt engineering, embeddings, hallucination evaluation) to enhance product intelligence
• Deliver executive-level insight readouts to product, design, and engineering teams
• Operate independently in an ambiguous, fast-moving startup environment

• 4+ years of hands‑on data science experience in high‑caliber product analytics teams
• Experience at a B2B SaaS or high‑growth technology company preferred
• Advanced Python and SQL (pandas, Num Py, Stats Models, Scikit-learn)
• Strong warehouse fluency (Big Query, Snowflake)
• Deep expertise in experimentation and causal inference:
  • A/B testing
  • Difference‑in‑differences
  • Propensity scoring
  • Matched markets
  • Statistical power analysis
• Experience with data sampling techniques:
  • Stratified sampling
  • Bootstrapping
  • Extrapolation
• Practical experience with LLMs:
  • Prompt engineering
  • Embeddings
  • Hallucination evaluation
• Proven track record of independently building and shipping analytics frameworks
• Clear communicator comfortable presenting to executive audiences
• Self‑starter who thrives in ambiguity and delivers end‑to‑end

• Salary: $200,000 – $250,000
• Equity: Up to 3%
• Early employees are compensated at the top of the market to reflect impact and ownership

• Location:
  
  San Francisco
• Onsite 4 days per week

• Visa transfers (e.g., H-1B transfers) supported
• New visa sponsorship not available at this time

• Multiple hires planned for this role

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