Senior Product Engineer, Growth & Lifecycle Infrastructure Music & Audio
Los Angeles, CA - USA
Job Summary
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. Youll 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 youll 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 youll 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 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.
Required Experience:
Senior IC
About Company
Activating humanity's potential through generative AI. Open models in every modality, for everyone, everywhere.