Stability Ai

Stability AI is a community and mission-driven, open artificial intelligence company that cares deeply about real-world implications and applications. Our most considerable advances grow from our diversity in working across multiple teams and disciplines. We are unafraid to go against established norms and explore creativity. We are motivated to generate breakthrough ideas and convert them into tangible solutions. Our vibrant communities consist of experts, leaders, and partners across the globe who are developing cutting-edge open AI models for Image, Audio, Video, and 3D.
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.
What you'll do...

• 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 you'll bring...

• 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

Not dealbreakers, but great if you had...

• Experience with B2C subscriptions in creative tools, music, or design
• Exposure to music or creative-platform go-to-market motions
• Open-source contributions to data tooling
• Experience as the first PLG/growth engineer at a company
• A track record of building in public: Product Hunt, YC network, or active presence on X or Reddit

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

Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.