AI Ops Engineer People Team
AI app builder that turns natural-language prompts into full-stack web applications.
Maintainer signals as of 8/14/2026
About Lovable
Lovable (lovable.dev) is a Swedish AI software-builder platform: users describe an app in natural language and Lovable generates production full-stack code — one of the fastest-growing AI products.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You build AI-powered People systems for hiring, onboarding, workforce planning, identity, compliance, and other internal workflows. You partner with the People team to identify problems, build secure integrations and data systems, develop predictive models and AI agents, and take products from research and design through production while meeting legal and compliance requirements.
Requirements
- Experience shipping production software that handles sensitive data
- Experience with people data, business systems, analytics platforms, or enterprise data infrastructure
- Deep familiarity with HR systems or ATS platforms
- Experience designing secure systems with role-based access control and data permissioning
- Strong product instincts
- Excellent stakeholder management and technical translation skills
- Experience building products from scratch and taking them into production
- Experience with HR technology, Work OS platforms, or identity providers
- Experience with HRIS, ATS, compensation, or workforce planning tools
- Experience building AI-powered products or internal tooling
Responsibilities
- Partner with the People team to identify, scope, and ship AI-powered internal products
- Build integrations with HR systems, ATS platforms, and identity providers
- Design secure systems with role-based permissions and access controls
- Develop predictive and diagnostic workforce models
- Create canonical datasets and source-of-truth models
- Establish data governance, naming conventions, and ownership
- Own products from research and design through implementation, deployment, and iteration
- Translate operational challenges into technical solutions
- Build systems that meet legal and compliance requirements
- Build AI agents, workflows, dashboards, and decision-support tools
