Ai Engineer Jobs

About The Position

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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