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Lovable is a software creation platform that has enabled over 60 million projects since launch in November 2024. The company is recognized as one of TIME's 100 Most Influential Companies and appears on Forbes AI 50 and CNBC Disruptor 50. Based in Stockholm with growing teams in London, Boston, New York, and San Francisco, Lovable is building a generational company with a culture rooted in extreme ownership, high velocity, and low-ego collaboration.
You will join Applied AI, the team rebuilding how Lovable operates internally. This role embeds you with the Marketing organization to build AI systems, data pipelines, and agents that Marketing teams depend on daily. You will ship production software yourself alongside other Applied AI engineers.
Key responsibilities include: conducting a listening tour with Marketing to map current workflows, systems, data sources, and pain points; collaborating with Marketing leadership to define problems, metrics, owners, and success criteria before building; connecting context across Linear tickets, internal docs, Slack, competitive intelligence, and usage data; building agents and workflows for performance marketing and social media (creative variants, campaign setup, quality checks); encoding brand and product marketing judgment into systems for positioning and messaging; connecting Marketing systems to the company data layer; contributing to and reusing the shared Applied AI foundation; launching systems with clear ownership, runbooks, access controls, and review cadences; measuring results and deciding what to improve, extend, or retire; and bringing product gaps from internal use to Lovable's product teams.
You report to Applied AI leadership but spend most time with Marketing, who set priorities and own results. You work day-to-day with Applied AI engineers and colleagues embedded in Sales, Finance, People, and Support. Capabilities built for Marketing often become building blocks for other functions.
The tech stack includes Lovable itself, Supabase (PostgreSQL), Cloudflare, TypeScript, Python, SQL, Go, Anthropic, OpenAI, MCP, AI agents, and BigQuery.
REQUIREMENTS:
- 6+ years building and shipping production software or data systems that people depend on, with recent hands-on work in TypeScript, Python, or SQL
- Deep marketing knowledge from a marketing organization, MarTech company, or product/data role serving marketing teams; practical understanding of paid and social channels, attribution, CRM, content, and positioning
- Experience integrating marketing systems (ad platforms, analytics, CRM/CDP, content tools) with knowledge of their APIs and data
- Experience building with LLMs: agents, evaluation, and judgment about when rule-based systems are better; ability to test and ensure reliable model output for daily use
- Strong product judgment: starting from problems, choosing priorities with affected stakeholders, and improving systems through use and feedback
- Senior stakeholder skills: working directly with CMO and Marketing leads, forming independent views, and disagreeing constructively in writing with better alternatives
- Care for permissions and data handling; treating access control as a design requirement from day one
- Comfort building on high-level platforms; preference for Lovable-based internal systems over bespoke infrastructure
