Lovable
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.
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 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 |
|---|---|---|
| Head of Customer Experience Head of Customer Experience to build an agentic-first CX function from the ground up, sitting at the intersection of Product, Engineering, and GTM. This role will own ticketed support, async support, incident response, and onboarding, while architecting and building AI-powered systems for issue resolution and product signal surfacing. The goal is to scale coverage without scaling headcount 1:1 and to turn customer feedback into structured input for Engineering and Product. | Agent | 8 |
| Product Manager (Agents) Product Manager to lead an AI agent product end-to-end, owning quality, roadmap, and feedback loops. Requires hands-on experience with agent-based systems, tool use, planning, multi-step reasoning, and shipping AI/LLM-powered products. Responsibilities include user representation, discovery, owning agent output quality, driving eval infrastructure, and defining improvements for error recovery and communication. | AgentEval Gate | 8 |