Machine Learning Engineering Manager – Music

Spotify

. Lead, coach, and develop a multidisciplinary team of machine learning, data, and backend engineers .

Posted 9/30/2026full-timeRemote • New York • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong leadership in managing multidisciplinary teams of engineers, with a solid foundation in machine learning and technical decision-making. Capable of fostering collaboration across cross-functional stakeholders while ensuring operational health and effective use of AI in engineering workflows.

Highest-signal resume keywords

Machine Learning ExpertiseTechnical LeadershipTeam ManagementAI Tools UtilizationCross-Functional Collaboration

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Machine LearningModeling StrategyML System DesignData EngineeringBackend Engineering

Soft Skills

Thoughtful LeadershipTrust BuildingEffective CommunicationJudgment and Decision-Making

Tools & Technologies

AI Tools

Industry Keywords

Technical TradeoffsOperational HealthCapacity ManagementStakeholder Engagement

About the role

Key responsibilities & impact

Lead, coach, and develop a multidisciplinary team of machine learning, data, and backend engineers
Provide technical leadership on complex ML systems, including modeling strategy, implementation, technical tradeoffs, risks, and decisions
Represent and advocate for the team with cross-functional stakeholders across business, product, insights, and personalization
Empower engineers to own technical decisions while providing direction and resolving tradeoffs when needed
Serve as the point of contact for cross-functional partner requests and protect the team’s focused work time
Own healthy delivery, prioritization, capacity management, operational health, and reliable execution
Stay close to engineering craft and contribute hands-on to technical problem solving and engineering work when useful
Help the team use AI effectively in engineering workflows and identify opportunities for AI to improve ML systems
Hire and onboard engineers and build resilient team capabilities and knowledge distribution

Requirements

What you’ll need

Experience managing engineers and a demonstrated track record of developing and managing technical ICs
Solid background in machine learning, including modeling strategy, ML system design, and technical discussions with experienced ML practitioners
Ability to independently assess ML strategies and technical tradeoffs, challenge assumptions, and represent technical direction with technical and non-technical stakeholders
Comfortable accounting for evolving product and business needs and creating clarity through sudden shifts in direction
Ability to build trust with experienced engineers by giving them autonomy while remaining close enough to coach effectively and understand risks
Thoughtful leadership and judgment about when to facilitate, delegate, or make decisions
Preference for lightweight, purposeful processes
Ability to make calculated tradeoffs, learn through iteration, and maintain appropriate technical and operational standards
Ability to manage substantial technical, product, and business dependencies with partner teams and build credibility with senior cross-functional stakeholders
Comfortable using AI tools and a point of view on improving engineering effectiveness and evolving ML-powered products
Value for healthy disagreement, clear ownership, accountability, and inclusive environments
Experience with data engineering and backend is a plus

Benefits

Comp & perks

Equal opportunity employer
Accessible recruitment process and reasonable accommodations during the interview process
Support with accommodations at any stage of the application or interview process
Flexibility to work where you work best within the eligible North America region