About the role
As the Engineering Manager of the Oasis Squad, you'll lead a multidisciplinary team of machine learning, data, and backend engineers building ML systems at the heart of how Spotify shapes and delivers music experiences.
Responsibilities
- Lead, coach, and develop a multidisciplinary team of ML, data, and backend engineers
- Provide technical leadership on complex ML systems, engaging deeply with modeling strategy and implementation
- Represent and advocate for the team with cross-functional stakeholders across business, product, insights, and the personalization mission
- Empower engineers to own technical decisions
- Be the point of contact for requests from cross-functional partners
- Own healthy delivery, including prioritization, capacity management, operational health, and reliable execution
- Stay close to the engineering craft and act as a player-coach when useful
- Help the team use AI effectively in engineering workflows
- Hire and onboard engineers as the team evolves
Requirements
- Experience managing engineers and a demonstrated track record of developing and managing technical ICs
- Solid background in machine learning and ability to engage credibly in modeling strategy, ML system design, and technical discussions
- Ability to independently assess ML strategies and technical tradeoffs
- Comfortable operating in an environment where technical strategy must account for evolving product and business needs
- Build trust with experienced engineers by giving them autonomy
- Thoughtful leader who knows when to facilitate a decision, when to let the team decide, and when to make the decision yourself
- Favor lightweight, purposeful processes over process for its own sake
- Comfortable making calculated tradeoffs, learning through iteration
- Can manage substantial technical, product, and business dependencies with partner teams
- Comfortable using AI tools
- Value healthy disagreement, clear ownership, accountability, and an inclusive environment
Preferred
- Experience with data engineering and backend
Conditions
- Flexible work options within the North America region
- This team collaborates across the Eastern time zone