Founding Forward Deployed Data Scientist

Founding Forward Deployed Data Scientist

San Francisco, CA (4 days/week in-office)
Full-time | Early-stage startup (Seed–Series A)

Salary: $200-250K + up to 3% equity

About Our Client

Writing code is easier than ever. Building software users actually love is still painfully hard.

Our client is an AI product engineer that watches every user session and listens to every piece of feedback — support tickets, sales calls, and conversations — and automatically turns that signal into clear, prioritized product decisions. Instead of digging through events and scattered feedback, product teams get a complete picture ofwhat to build next and why, with the ability to launch PRs or run experiments directly from insights.

They are building for AI-native product teams and closing the loop between user behavior and code.

The Role

This isnot a reporting or support analytics role.

As aFounding Forward Deployed Data Scientist, you will own product analytics end-to-end — from raw user behavior to executive-level insights that directly shape what gets built. You’ll work directly with founders, customers, and product engineers, often embedded in high-stakes product decisions.

You will build analytics frameworks, causal measurement systems, and internal tools that scale with the product — and you’ll ship them.

If you prefer clean specs, narrow scopes, or only running experiments designed by others, this role is not for you.

What You’ll Do

• Own analytics foruser-facing product features from discovery to impact

• Synthesize behavioral data and qualitative feedback intoclear product recommendations

• Work directly with customers and executives to understand needs and deliver insights

• Design and runcausal measurement: A/B tests, diff-in-diff, matched markets, power analysis

• Build and shipanalytics frameworks and internal tools used by product and growth teams

• Partner closely with engineering to connect insights → product changes → experiments

• Operate comfortably in ambiguity and take full ownership of outcomes

Must-Have Qualifications (Non-Negotiable)

• 4+ years of product analytics experience at high-growth, consumer-facing software companies

• Owned analytics for auser-facing product (not internal/support analytics)

• Proven experience delivering insightsdirectly to executives and/or customers

• Strong product intuition — you generate hypotheses, not just metrics

• Advanced Python (tooling, automation, APIs — not just notebooks)

• Strong SQL and statistical foundations

• Deep experience with causal inference and measurement:

  • A/B testing, diff-in-diff, propensity scoring, matched markets

  • Statistical power analysis and sampling techniques

• Authorized to work in the U.S.

• Willing to workin-office in San Francisco 4 days/week

• Excited to join avery early-stage startup and take real ownership

Nice to Have (Top 5% Signals)

• Built analytics frameworks or tools adopted by product or growth teams

• Experience at early-stage startups (Seed–Series B)

• Hands-on experience with LLMs (prompting, embeddings, hallucination evaluation)

• CS or deeply technical degree

• Experience in high-quality product analytics teams at companies like:

  • Airtable, Figma, Notion, Slack, HubSpot, Atlassian

  • Meta, Uber, Airbnb (with startup or 0→1 experience)

What This Role Is Not

• Not a reporting or dashboard-only role

• Not internal or support analytics

• Not FP&A, finance, or non-software analytics

• Not a junior or early-career position

Why Join

• Work directly with founders who have built and scaled products at Meta, Airtable, Yelp, and WhatsApp

• Influence core product decisions from day one

• Build foundational analytics systems that define how the company operates

• Competitive compensation + meaningful equity

• Small, high-bar team with real ownership

Equal Employment Opportunity

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