Currently tracking 7 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering.
Coding AI · AI app builder (vibe coding)
Lovable currently has 11 active AI-related job listings. The majority of these roles, 64%, are focused on agents. Engineering is the dominant function with 9 roles, and the primary hiring country is Sweden with 9 positions. The company is frequently seeking expertise in agent orchestration, model serving, and LLM observability.
Lovable currently has 11 active AI-related roles in our index. The most common open titles are: Engineering Manager, Forward Deployed Engineer, GTM Engineering Lead, Head of Customer Experience, Penetration Tester. Most positions are in Engineering and Product.
Lovable's active AI hiring is concentrated in: agents (64%), post-training (18%), application (9%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Lovable is hiring AI talent in: Sweden (9 roles), United States (1 role), United Kingdom (1 role).
Job postings at Lovable most frequently mention: Code Generation, AI Safety, System Design, Product Impact, CI/CD.
In the past 30 days, Lovable has posted 4 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Product Manager (Build Experience) Product Manager for an AI-first visual building experience, focusing on design tools, visual editors, and creative platforms. The role involves owning the design quality bar for AI-generated outputs, ensuring consistency and brand alignment, and leading discovery for user workflows. Requires experience with design systems and AI's role in visual quality. | Ship | 5 |
| Software Engineer, Product Seeking exceptional Fullstack Product Engineers to build the future of AI, working across the entire stack to create features that empower creators and builders. The company aims to change how software is created, enabling users to transform ideas into products quickly. The role involves implementing and maintaining full-stack features, owning systems end-to-end, collaborating with ML, design, and product teams, and driving the development lifecycle. | Ship |
| 5 |