Forward Deployed Engineering Lead

Lovable

1d•Hybrid

About The Position

Lovable is the software creation platform that gives people the power to act on the problems closest to them. 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. 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. This role is special because you will build and lead the FDE team in your location, join a small group of FDE leaders defining how the function operates and scales globally, stay deeply hands-on — personally building and shipping alongside your team, partner with customers building never-seen-before AI systems, set a high technical bar across architecture, engineering, and execution, turn patterns from real deployments into core product and platform improvements, and influence our product direction, technical roadmap, and how FDE works at Lovable. If you want to build an exceptional engineering team without stepping away from building yourself — this is that role.

Requirements

12+ years across software engineering, technical architecture, and customer-facing engineering
Experience leading and developing high-performing technical teams
A track record of remaining deeply hands-on as your leadership scope has grown
Strong full-stack engineering fundamentals across modern frontend and backend development
Strong architectural thinking and familiarity with distributed systems
Experience owning complex technical engagements end-to-end
Exceptional product intuition and ability to work directly with users
Ability to move comfortably between writing code, making architectural decisions, leading engineers, and working with senior customer stakeholders
High agency and comfort operating in high-ambiguity, high-velocity environments
Please submit your application in English — it’s our company language, so you’ll be speaking lots of it if you join

Nice To Haves

Built a team or technical function from zero
Worked on agentic AI systems or built with LLMs in production
Led zero-to-one product development
Worked in a founding or early-stage startup environment
Worked across high-growth startups, big tech, consulting, or enterprise AI

Responsibilities

Build and lead the FDE team in your location
Join a small group of FDE leaders defining how the function operates and scales globally
Stay deeply hands-on — personally building and shipping alongside your team
Partner with customers building never-seen-before AI systems
Set a high technical bar across architecture, engineering, and execution
Turn patterns from real deployments into core product and platform improvements
Influence our product direction, technical roadmap, and how FDE works at Lovable
Recruit, develop, and lead an exceptional team of Forward Deployed Engineers
Work directly with customers to understand their workflows, needs, and hardest technical problems
Personally design, prototype, and implement solutions alongside your team
Own and guide projects from idea → architecture → shipping → iteration
Set the technical bar through architecture decisions, code reviews, and hands-on engineering
Translate insights from customer deployments into foundational platform improvements
Partner with other FDE leads to shape standards, playbooks, and how the function scales globally
Contribute to core product strategy, technical decisions, and cultural foundations