Jobs at Lovable

Lead the Lovable agent product, focusing on quality, user feedback, and roadmap management. Drive product discovery and enhancements for agent capabilities.

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 Lovable's M&A and strategic investment function: define corp dev strategy, source and execute acquisitions and investments, manage end-to-end deal processes, lead founder and board-level negotiations, and build cross-functional integration and M&A teams while representing the company in the European startup ecosystem.

Lead and develop a regional People Ops team and own HRIS (HiBob), payroll, benefits, compliance, and employee lifecycle workflows across jurisdictions. Design scalable processes, documentation, reporting, automation, and AI-enabled self-service while enforcing privacy, access controls, and audit-ready controls for a fast-growing, AI-native company.

Own global mobility, immigration, and relocation end-to-end across Sweden, the UK, the US, and beyond. Design policy and frameworks, manage vendors, provide direct employee and family support for cross-border moves, and build AI-native systems and metrics to scale operations.

Provide hands-on IT support and own device lifecycle (procurement, provisioning, maintenance, decommissioning). Triage and resolve hardware/software tickets, automate repetitive support with AI and scripting, track hardware inventory, support on-site events and AV, and partner with Security to maintain a smooth developer experience.

Own end-to-end mid-market SaaS sales cycles (prospect to contract) with ACVs of $50K–$250K. Build account plans, lead demos and discovery, craft ROI business cases, maintain accurate pipeline and forecasts, collaborate cross-functionally for onboarding and retention, and use customer insights to influence product and GTM strategy.

Lead competitive intelligence and solutions marketing: track competitors across AI, developer tools, and platforms; build battlecards, talk tracks, and sales assets; run monitoring and research cadence; respond to competitor launches; maintain a single source of truth and ensure all external claims are sourced and verified.

Drive and deliver strategic partner integrations: assess partner architectures, prototype and ship integrations, manage executive relationships, build business cases, and inform product and GTM.

Build and maintain reliable data warehouse models and pipelines to power GTM metrics, dashboards, and automation. Partner with Sales, CS, Product, and Engineering on instrumentation, CRM and usage modeling, data quality, observability, forecasting, and actionable data products for GTM teams.

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.

Design, operate, and optimize enterprise B2B lifecycle and demand-gen programs using HubSpot and AI-driven personalization. Build adaptive, rules-based or algorithmic journeys across channels, run experiments measuring true incremental impact, partner with Data/GTM/Product, and ensure lifecycle messaging is timely, relevant, and on-brand.

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.

Build AI-powered People systems embedded with the People team: design and ship secure, production-ready integrations, datasets, models, RBAC, and decision-support tools for hiring, workforce planning, identity, compliance, and potential customer-facing features.

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.