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Lovable is seeking a Technical Enablement Lead to own GTM technical knowledge for Sales, CS, and SA. You will onboard Solution Architects and empower AEs and CSMs with AI transformation conversations, building systems that raise the entire field's technical floor.
You will partner with SA teams to design scalable enablement, reference architectures, and AI use-case patterns, driving rapid, measurable outcomes across the organization.
TL;DR: Technical enablement lead for all of Lovable's GTM: Sales, CS, and SA. Your job isn't only to onboard Solution Architects, It's to leverage them as the bench that raises the technical floor for the entire field. AEs need to articulate the art of the possible. CSMs need to lead AI transformation conversations without flinching. You build the systems that make that happen.
Lovable is the software creation platform that gives people the power to act on the problems closest to them. For decades, turning an idea into software required so much capital, technical fluency, and time that many ideas never came to life. Lovable is the counterargument: a platform for all people with ideas, ambition, and problems worth solving. From solopreneurs to small business owners to teams at companies like Adidas and Zendesk, people have built over 60 million projects on Lovable since its launch in November 2024. And we’re just getting started.
We’re building a generational company from Stockholm, with growing teams in London, Boston, New York, and San Francisco. Our team is small, talent-dense, and moving quickly, with a culture rooted in extreme ownership, high velocity, and low-ego collaboration. We look for people who care deeply, ship fast, and are eager to make a dent in the world.
Lovable is one of TIME’s 100 Most Influential Companies and has been recognized on the Forbes AI 50 and CNBC Disruptor 50, reflecting our momentum as one of Europe’s fastest-growing AI companies and one of the most ambitious places to build in this next era of software.
Enablement Partners at Lovable are productivity engineers. The goal is to build systems that eliminate the need for enablement in the first place: automate the process, embed the knowledge in the workflow, and remove the friction before it becomes a training problem. When training is the answer, it should be because automation genuinely can't reach. And it should focus on real skill development, not teaching someone how to follow a checklist. If you think in programs and curricula, this role will be a mismatch. If you think in systems and leverage, keep reading.
Projects you'll tackle first: Audit current technical knowledge assets across GTM and map the gaps against what AEs and CSMs are losing deals over. Build the first version of the AI use-case pattern library and reference architecture set. Design the SA-as-knowledge-multiplier model: how technical depth flows from the SA org into the broader field.