GTM Engineer

What You'll Do

• Own the funnel. Track performance from lead to conversion to revenue; define and maintain the core marketing KPIs the company runs on.
• Direct paid acquisition. Analyze channel performance across Google, Meta, and beyond, and influence where the budget actually goes.
• Model the unit economics. Build and interpret LTV/CAC so the business knows which levers are real and which are noise.
• Run experiments that decide things. Design and analyze A/B tests, then turn the result into a decision — not a slide.
• Find what's working. Cohort analysis, segmentation, channel attribution — isolate the signal and double down.
• Move people with the analysis. Translate complex work into clear recommendations a non-technical room acts on.

What We're Looking For

• A proven growth, marketing, or revenue-focused data scientist — you've worked with growth teams, not supported them from a distance.
• Strong SQL; solid Python.
• Hands-on with funnel analysis, attribution, segmentation, and LTV/CAC modeling, plus designing and reading A/B tests.
• Exposure to paid channels (Google, Meta, TikTok) and how attribution actually behaves.
• A commercial instinct: you tie data to revenue and influence decisions, not just report metrics. You think in first principles and move fast when the ground is ambiguous.

Bonus

• PostHog/Mixpanel/Amplitude;
• PLG or SMB-heavy environments;
• AI-assisted analytics workflows.

The Reality

• On-site in San Francisco, in person, long days, high standards.
• The right person reads that as the reason to come.

Logistics

• Compensation: $130,000–$190,000 base + performance bonus + equity.
• Location: San Francisco, in-office.
• To apply: Data talks, narratives walk. Send your resume and one example of analysis that drove a real business decision.
• Compensation Range: $130K - $250K