Senior Product Engineer, Stability AI

• 6+ years of end-to-end ownership of product or growth infrastructure inside a B2C or PLG B2B company
• Deep expertise in growth marketing and product lifecycle marketing — you walk in knowing how to implement it, not just what it is
• Hands-on production experience across the modern martech stack: CDPs, product analytics, lifecycle/messaging, billing, reverse-ETL, and transformation layer
• Proven ability to ship in-app PLG mechanics where the product itself drives growth
• Proficiency in TypeScript, Node.js, Python, and SQL
• Fluency with AI-augmented development tools in daily workflow (Claude Code, Cursor, Codex, or equivalent)
• Experience building event taxonomies that hold up without schema drift
• A history of shipping paywall and entitlement logic in production where revenue depended on it
• Comfort operating without a product manager: setting milestones, owning the schedule, and escalating when needed

Desirable

• As the Senior Product Engineer, Growth & Lifecycle Infrastructure, you will own the ground-up build of PLG growth and lifecycle infrastructure for our music and audio products — greenfield across web, desktop, plugin, and mobile
• You'll choose the stack, design the event model, wire the integrations, and run the system. The output is a measurable, attributable funnel from anonymous visitor to paying customer to expanded account
• This role sits at the intersection of growth marketing, product lifecycle, and community-driven PLG — the systems, how they live inside the product, and how they drive real conversion
• Select and own the stack for the Music & Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements — including writing defensible recommendations with cost model and tradeoffs
• Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device
• Build and attribute the full growth funnel across paid, organic, partner, and in-product virality
• Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks
• Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habit, and expansion
• Ship free-to-paid logic: trial mechanics, paywalls, in-app messaging, and entitlement checks across web and native runtimes
• Build onboarding, churn-risk, reactivation, and win-back sequences
• Instrument A/B experimentation with exposure logging and statistical guardrails
• Own the growth dashboard: activation, conversion, ARPU, LTV, retention cohorts, and expansion rate
• What success looks like:
• Day 30: Stack chosen and approved, contracts signed, identity resolution working in development, event taxonomy v1 drafted
• Day 60: Full event taxonomy live across primary surfaces, first lifecycle sequence in production, baseline dashboard up
• Day 90: Paywall and entitlement logic in production, attribution closing the loop on at least one paid channel
• Day 120: Experimentation framework in active use, first growth experiment results read out to leadership