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The Fullstack Growth Engineer will build user engagement and monetization systems, focusing on growth, ecosystem features, and collaboration across functions to enhance user success and revenue generation.

Join Lovable as a Data Scientist to leverage analytics for business insights, analyze user behavior, and support product strategies through data-driven decisions.

Build and manage regional system integrator partnerships, connecting partner motions to enterprise customers, product priorities, adoption, and revenue. Develop delivery capacity, customer-backed offers, repeatable partner plays, and operating processes. Coordinate dependencies across Sales, Product, Engineering, Solutions, Finance, Legal, Marketing, and Operations while evaluating partner performance, customer evidence, economics, and future ecosystem expansion.

Lead Lovable's always-on virtual communities (Discord 100k+, Reddit, Facebook), run 2-3 weekly live programs, own moderation systems and volunteer leader programs, manage recording and CRM pipelines, surface community feedback to product and marketing, track community health metrics, and coordinate cross-timezone operations and regular travel.

Own lifecycle marketing for Lovables self-serve base across activation, engagement, retention, and reactivation. Design AI-first, adaptive lifecycle programs that decide who to message, when, which channel, and what content. Build experimentation, personalization, segmentation, and event-driven architectures; partner with Data, Product, and GTM teams to measure incremental impact and optimize performance.

Own and run paid search, paid social, and programmatic channels end-to-end. Build automations and AI agents to read performance, pace budgets, flag and fix issues, and scale social creative. Implement and debug tracking (server-side/CAPI, pixels, cookies), write measurement queries, and keep efficiency focused on CAC and payback.

Lead Lovable's visual identity using generative AI as the main production method. Build AI-executable visual systems (style references, fine-tunes/LoRAs, prompt libraries), direct high-volume AI output across campaigns and touchpoints, define brand guidelines for an AI-native workflow, collaborate closely with a Brand Engineer to create scalable tooling, and produce both machine-generated and hand-crafted brand assets as needed.

Own product-area metrics and funnels, find user drop-offs and opportunities, design and run A/B and growth experiments, build instrumentation/semantic models and analytics systems, ensure data quality and lineage, and work directly with PMs and engineers to turn insights into shipped product outcomes.

Build and own production systems and pipelines that enable scalable AI-native brand and creative output. Integrate image/video generation APIs, internal tooling, and marketing systems; maintain reliability, versioning, and evaluate new models while collaborating closely with Brand Design.

Own pricing and packaging analytics: build unit-economics, willingness-to-pay, and price-sensitivity models; design and run pricing experiments; operationalize pricing systems (eg. personalized discounting); and partner with finance, product, and growth to sequence and ship revenue-impacting changes.