Lovable
Coding AI · AI app builder (vibe coding)
Currently tracking 7 active AI roles, down 16% versus the prior 4 weeks. Primary focus: Agent · Engineering.
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.
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 |
| GTM Engineering Lead Lead the design and execution of AI-powered GTM systems, including agents, automations, and workflows, from scratch. Own agent orchestration strategy, data pipelines, and PLG strategy for enterprise. Build agents and apps directly in the product. | AgentData | 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 |
| Software Engineer, Product (Agents / Evals) Software Engineer, Product (Agents / Evals) at Lovable, a company building tools for software creation. The role focuses on building, tuning, and scaling LLM-powered agents for production, including adding agent skills, improving reasoning and orchestration, designing multi-agent collaboration, selecting models, analyzing behavior, and building evaluation frameworks and experimentation pipelines. | AgentEval Gate | 8 |
| Forward Deployed Engineer Forward Deployed Engineer to help build the future of AI-powered software creation. This role involves partnering with customers to build never-seen-before AI systems, translating insights into platform improvements, and owning projects end-to-end. The role is a founding member of the FDE function, shaping its direction and processes. | Agent | 7 |
| Penetration Tester The role is a Penetration Tester focused on offensive security for an AI platform. The responsibilities include testing web, mobile, APIs, cloud infrastructure, and specifically AI pipelines and LLM integrations for vulnerabilities like prompt injection and data exfiltration. The role also involves testing user-generated code and working with engineering to remediate findings, aiming to make the product the most secure AI product in the market. | Agent | 7 |
| Engineering Manager Engineering Manager to lead an organization of 30+ people, including managers, senior engineers, and AI agents, focusing on product, platform, and applied AI. The role requires strong technical credibility, hands-on coding ability, and the ability to shape engineering culture and set technical direction. The manager will also build the operating model for a hybrid human-AI engineering team and contribute to executive-level decision-making. | AgentServe | 7 |