Responsibilities

• Own the metrics that define our growth funnel: signup, activation, conversion, retention, and how they connect
• Design and run experiments (A/B tests and beyond), and read them honestly, including when the answer is "no effect"
• Build the models that matter for growth: activation prediction, churn and retention, conversion propensity, and LTV
• Turn messy product and billing events into clean, trusted analysis (we run on PostHog and a warehouse)
• Find the leverage: the few places where a small change in the funnel produces an outsized result, and size the opportunity before we build
• Make your work legible with clear metrics, dashboards, and writeups the whole team can act on
• Partner with growth and product day to day, and with the founders on the bets that matter

Requirements

• Have several years in product or growth data science, ideally at a product-led or consumer company with real scale
• Are genuinely hands-on: you write your own SQL and Python, build your own models, and don’t need a platform team to get answers
• Know experimentation cold, both the statistics and the judgment, and can tell a real effect from noise
• Think in funnels and systems, and connect a metric to the decision it should drive
• Communicate in plain language, and aren't afraid to deliver an inconvenient finding
• Have built data models or pipelines when the job needed it (dbt, warehouse), even if analysis is your main game
• Care about AI and creative tools, ideally as a ComfyUI user
• Like a small, intense team: high ownership, low ego, fast clock
• Are in SF or ready to be

Preferred

• You've stood up an experimentation program or an analytics stack from scratch
• You're comfortable with PostHog, dbt, or similar tools
• You can point to analysis that changed what a company did, not just what it knew

Benefits

• company-sponsored Medical, Dental, and Vision (up to 100% coverage)
• unlimited PTO
• daily catered lunch and dinner
• your choice of equipment
• an unlimited budget for AI tools