GTM Engineer
Builds analytics models and runs experiments to optimize marketing funnels, paid acquisition, and growth decisions. Partners with marketing head using SQL/Python to drive revenue impact through insights and LTV/CAC analysis.
Responsibilities
- Own funnel analytics — Track performance from lead to conversion to revenue; define and maintain core marketing KPIs
- Drive paid acquisition decisions — Analyze channel performance across Google, Meta, and beyond; influence where the budget goes
- Build and interpret LTV/CAC models — Give the business a clear picture of unit economics and what levers to pull
- Run experiments that drive growth — Design and analyze A/B tests; turn results into decisions, not just reports
- Segment and identify what's working — Cohort analysis, customer segmentation, high-performing channel identification
- Communicate insights that move people — Translate complex analysis into clear, actionable recommendations for non-technical stakeholders
Requirements
- Proven experience in a growth, marketing, or revenue-focused data science role
- Strong SQL; Python preferred
- Hands-on experience with funnel analysis, attribution, segmentation, and LTV/CAC modeling
- Experience designing and analyzing A/B tests and experiments
- Exposure to paid acquisition channels (Google, Meta, etc.)
- Commercial mindset — comfort influencing decisions, not just informing them
Nice to Have
- Experience with Google Ads, Meta Ads, or TikTok Ads
- Familiarity with PostHog, Mixpanel, or Amplitude
- Background in PLG companies, high-growth startups, or SMB-heavy environments
- Exposure to AI-assisted analytics workflows
Compensation
Salary: $130,000–$190,000 + performance bonuses & equity
Benefits
- Health, dental, and vision insurance
- Commuter benefits
- Team meals and snacks
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