Lovable
Forward Deployed Engineer
Boston
Sponsorship not specifiedDetected 30 days ago
TypeScriptGoReactDistributed SystemsBackend DevelopmentFull-Stack DevelopmentGitAWSGCPTerraformGitHub ActionsGrafanaLLMsAgentic AIProduct StrategyCustomer SuccessResearch
About the role
- From solopreneurs to Fortune 100 teams, millions of people use Lovable to transform raw ideas into real products - fast.
- Lovable-built applications and websites are visited hundreds of millions of times a month, and our enterprise footprint is compounding fast.
- We value extreme ownership, high velocity, and low-ego collaboration.
Responsibilities
- Own projects end-to-end - from idea → architecture → shipping → iteration
- Shape how Forward Deployed Engineering works at Lovable (rituals, playbooks, org design)
- Create a new function at the intersection of engineering, product, customer success, and research
- Build product features based on real-world behaviors and emerging patterns
Requirements
- 5+ years of experience building and shipping full-stack products
- Proficiency in modern frontend (React/TypeScript) and robust backend development
- Ability to rapidly prototype, experiment, and learn from real usage
- Exceptional product intuition and ability to work directly with users
- Comfort operating in high-ambiguity, high-agency environments
Nice to have
- Worked on agentic AI systems or built with LLMs before
- Led zero-to-one product development
- Worked in a founding or early startup environment
Skills
- Cloudflare, GCP, AWS, multiple LLM providers
Company info
- Please submit your application in English - it's our company language so you'll be speaking lots of it if you join
- We treat all candidates equally - if you're interested please apply through our careers portal.
- Work directly with customers to understand their workflows, needs, and problems
- Design and implement solutions for our customers that integrate with Lovable
- Partner with customers building never-seen-before AI systems
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This listing is sourced directly from Lovable's careers page and normalized into a canonical job model.