Stability AI

Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio

Remote, United States remote Entry Salary not listed
remote Design & Creative Curated
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About the role

Headquarters: Los Angeles, CA or Remote (United States)

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.

To apply: https://weworkremotely.com/remote-jobs/stability-ai-senior-product-engineer-growth-lifecycle-infrastructure-music-audio

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Design & Creative Data Analysis Javascript MySQL Python Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio role.
  2. How would you approach your first 30 days at Stability AI?
  3. Which of Data Analysis, Javascript and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with Data Analysis, Javascript and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior Product Engineer, Growth & Lifecycle Infrastructure - Music & Audio role because I can bring practical experience in Data Analysis, Javascript and MySQL, learn the team quickly, and contribute to the outcomes Stability AI needs from this hire.

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