30 days ago
Stockholm, SwedenSenior
Responsibilities
- Partner with the People team to identify, scope, design, 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 models for workforce trends, hiring capacity, retention risks, and compensation dynamics.
- Create canonical datasets and source-of-truth models for hiring, headcount, compensation, organizational design, and workforce planning.
- Own products end-to-end from research and design through implementation, deployment, and iteration.
- Establish data governance through source-of-truth logic, naming conventions, and ownership.
- Build systems that satisfy legal and compliance requirements for sensitive employee data.
- Build AI agents, workflows, dashboards, and decision-support tools for organizational leaders.
- Collaborate with other AI Ops Engineers to share building blocks, patterns, and learnings across company functions.
Requirements
- Experience shipping production software that handles sensitive data, such as in HR technology, fintech, or identity management.
- Experience with people data, business systems, analytics platforms, or enterprise data infrastructure.
- Deep familiarity with HR systems and/or ATS platforms such as HiBob, Ashby, Workday, or Greenhouse.
- Experience designing secure systems with role-based access control and data permissioning.
- Strong product instincts and an end-to-end approach to building products people use.
- Excellent stakeholder-management skills and the ability to translate operational challenges into technical solutions.
- Experience building products from scratch and taking them into production.
- Preferred experience at an HR technology company, Work OS platform, or identity provider.
- Preferred experience with HRIS, ATS, compensation, or workforce planning tools.
- Preferred experience building AI-powered products or internal tooling and working closely with People or Operations teams.
Tech Stack
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