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

<p>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.</p> <p>As the <strong>Senior Product Engineer, Growth &amp; Lifecycle Infrastructure</strong>, 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.</p> <p><strong>What you'll do…</strong></p> <ul> <li>Select and own the stack for the Music &amp; Audio vertical: CDP, product analytics, lifecycle/messaging, experimentation, warehouse, reverse-ETL, and entitlements — including writing defensible recommendations with cost model and tradeoffs</li> <li>Design event taxonomy with consistent schema and identity resolution across anonymous → free → paid → multi-device</li> <li>Build and attribute the full growth funnel across paid, organic, partner, and in-product virality</li> <li>Architect in-app PLG motion: viral loops, referral mechanics, upgrade prompts, and sharing hooks</li> <li>Define and execute lifecycle marketing strategy: segmentation, behavioral triggers, and messaging cadences across activation, habi