Engineering Manager [AI Business Features]
4 дн. назад
WorldwideLeadRemote
architectureteam leadershipprocess improvementsbackendaiml
Lead a cross-functional engineering team to deliver AI-powered business features from concept to production, ensuring engineering quality and collaboration with Product, Data, and AI teams.
Условия
- Relocation support to one of our hubs — Cyprus, Serbia, Spain or Georgia — with assistance for the employee and their family
- Flexible work from one of our offices or remote
- Healthcare Coverage
- Education Budget: Language lessons, professional training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation policy: 20 days of annual leave and paid sick leave
Другое
- We are looking for a hands-on Engineering Manager for AI Business Features - the team that turns business and product hypotheses into production AI features. You will lead a cross-functional engineering team, own delivery end to end, and work directly with Product, Data, and AI on scope and prioritization. The role requires enough technical depth to review architecture and challenge design decisions yourself, not through a proxy.
- The team works in short cycles: hypotheses go to production, get measured, and are then scaled or dropped. Expect a broad portfolio of initiatives rather than one long-running product.
- Lead the team across hiring, planning, task decomposition, process improvements, and cross-team collaboration
- Own and drive the development of an AI-powered products from concept to production
- Ensure strong team performance and reliable, on-time delivery aligned with product and business goals
- Partner closely with Product, Data, and AI teams to build impactful, user-centric solutions
- Tackle complex technical and product challenges while maintaining high engineering quality standards
- Shape the architecture, design, and implementation of scalable backend services and integrations
- Experience leading engineering teams (hiring, development, performance, and delivery management)
- Proven experience leading teams in AI, ML, or data-driven engineering environments; experience training models is a plus
- Strong technical background with hands-on development experience and the ability to validate technical decisions independently
- Experience building AI-powered, user-facing products (e.g., assistants, recommendations, or intelligent features) from concept to production, including running A/B tests
- Ability to translate ambiguous business and product requirements into clear technical solutions and priorities
- Strong cross-team communication skills and ability to collaborate with Product, Data, AI, and business stakeholders
- English proficiency at B1 level or higher for effective collaboration with an international team
- Innovative Spirit: A commitment to creativity and groundbreaking solutions
- Honest Feedback: valuing open, transparent communication
- Supportive Team: a strong, collaborative community
- Celebrating Achievements: recognizing our wins together
- High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances