Founding Automated AI Product Engineer- Data Scientist

Founding Forward Deployed Data Scientist

San Francisco, CA (4 days/week onsite)

About the Role

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.

What You’ll Do

• 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

Requirements

• 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, NumPy, StatsModels, Scikit-learn)

• Strong warehouse fluency (BigQuery, 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

Compensation & Equity

• Salary: $200,000 – $250,000

• Equity: Up to 3%

• Early employees are compensated at the top of the market to reflect impact and ownership

Work Policy

• Location: San Francisco

• Onsite 4 days per week

Visa Policy

• Visa transfers (e.g., H-1B transfers) supported

• New visa sponsorship not available at this time

Interview Process (4 Steps)

1. Remote screening interview

2. In-person problem-solving interview

3. Paid real-world project collaboration (minimum 2 days)

4. Final decision discussion

Hiring

• Multiple hires planned for this role

Equal Employment Opportunity

TopTechTalent.ai believes that all persons are entitled to equal employment opportunities. TopTechTalent.ai recruits, hires, trains, promotes, disciplines and provides other conditions of employment without regard to a person's race, color, ethnicity, religion, gender, gender identity, or expression, age, national origin, citizenship status, disability, veteran's status, sexual orientation, marital status or other classifications protected under law or Company policy. This includes providing reasonable accommodation for team members' disabilities or religious beliefs and practices.

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🚫 Third-party recruiters, please do not reach out for this role.