Jobs at Lovable

Act as strategic finance partner to Marketing: manage budget allocation, build channel-level CAC/LTV and payback models, create repeatable performance reporting, size experiments and forecast impact, and integrate AI/automation to improve ROI and efficiency.

Own product and website content across onboarding, empty states, errors, upgrade prompts, feature naming, and marketing pages. Partner with product marketing, designers, and an external agency to improve content hierarchy, navigation, scannability, voice, and messaging. Diagnose unclear designed pages and rewrite them for stronger impact. This is a full-time contract engagement requiring close collaboration in a fast-shipping design environment.

Own Lovable’s performance-marketing creative loop from ideation and briefing through production, QA, launch, testing, and post-mortem. Build and automate creative operations workflows, including agentic pipelines that generate, adapt, localize, and evaluate assets at scale. Analyze performance data and audience insights to determine winning concepts, guide future testing, lead brainstorms, and distribute learnings across marketing channels.

Own Lovable’s website visual direction and brand craft, designing landing pages, campaign sites, and web experiences. Define typography, layouts, imagery, motion principles, and scalable visual systems while partnering with design engineers to ship high-quality, web-native implementations. Collaborate with marketing and brand on launches and positioning, maintain consistency, and push the quality and creativity of marketing sites.

Own product and technical communications at Lovable, managing trust, security, incident responses, and product launches while building media relations and developing narratives connecting products to audiences.

The Platform Engineer will enhance and scale Lovable's developer experience, focusing on improving engineering workflows, building application frameworks, and maintaining observability across teams.

Lead product design projects end-to-end, collaborating with engineering to create intuitive user experiences and uphold design quality for Lovable's software.

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.

You'll oversee the post-training pipeline, improve AI models, ensure production code quality, and collaborate with teams to enhance product user experience.

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.

Embed with Engineering, Product, and Design as a strategic HR partner. Advise on org design, headcount planning, performance cycles, employee relations, manager coaching, and implement AI-enabled people operations to scale a high-growth developer-focused company across Stockholm and London.

Lead technical GTM enablement across Sales, CS, and SA by building systems that scale technical knowledge: demo libraries, reference architectures, AI use-case pattern libraries. Leverage SAs as knowledge multipliers, co-own SA ramp, raise AE and CSM technical readiness, and improve technical narratives across the funnel. Start by auditing existing assets, mapping gaps, and delivering the first AI use-case and reference architecture sets.

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.