Engineering Manager [AI Platform]

Role overview Lead a cross-functional engineering team responsible for internal AI platforms, combining people leadership with hands-on technical direction. You’ll guide platform work from early scoping through production, shaping architecture and priorities with product, data, and AI partners as adoption grows.

Responsibilities - Build and develop the team through hiring, planning, coaching, and performance management. - Own delivery of internal AI platform capabilities, keeping services dependable as more teams use them. - Turn recurring user needs into reusable platform features and integrations. - Translate loosely defined business needs into technical plans, priorities, and delivery milestones. - Make informed decisions about building, adopting, or extending existing open-source tools. - Design and review backend services, APIs, and integrations, and collaborate with platform users to support adoption.

Requirements - Experience leading engineering teams, including hiring, developing people, and managing delivery. - Background leading teams in AI, machine learning, or data-focused engineering, including training models directly. - Strong software engineering experience and the ability to assess technical choices hands-on. - Experience taking AI-enabled products or services from concept to production and measuring results through experiments or other metrics. - Skill in clarifying ambiguous requirements and working across technical and business groups. - English proficiency at B1 level or higher.

Benefits and work setup Work can be based remotely or from an office. Relocation assistance is available for the team’s hubs in Cyprus, Spain, or Georgia, including support for family members. Benefits include healthcare coverage, a budget for education and professional certifications, wellness reimbursements, and annual leave and paid sick leave under applicable policies.