ML Engineering Manager II — Personalization & Recommendations

Bazeta; United States; Remote; USD 227,000 - 263,000; Full time

Benefits offered by this job

Health insurance

Six month paid parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

13 paid flexible holidays

Paid sick leave

Job summary

Spotify is seeking an Engineering Manager for the Samba team within Personalization to lead machine learning and data engineers in building multi-objective recommendation systems. You will drive technical strategy, mentor engineers, and ensure delivery aligns with listener and business goals.

You will partner with product and platform teams to prioritize work, balance short-term needs with long-term health, and foster an inclusive, high-performing team culture across time zones in the North

Qualifications

• Experience managing and developing engineering teams.
• Strong technical background in machine learning, software engineering, or related areas.
• Experience operating machine learning systems in production.
• Experience working with cross-functional partners to define priorities and deliver against shared goals.

Responsibilities

• Lead and grow a team of ML, backend, and data engineers, aligning their work with listener needs and business objectives.
• Guide the development of ML and recommendation systems balancing multiple objectives across personalized experiences.
• Collaborate with Product and engineering partners to translate complex challenges into clear plans.
• Support the team in decisions around experimentation, scalability, reliability, and model performance.
• Foster ownership, collaboration, and continuous improvement; coach and develop engineers.

Skills

Machine Learning

Software Engineering

Team Leadership

Cross-functional Collaboration

Job description

Spotify is seeking an Engineering Manager for the Samba team within Personalization to lead machine learning and data engineers in building multi-objective recommendation systems. You will drive technical strategy, mentor engineers, and ensure delivery aligns with listener and business goals.

You will partner with product and platform teams to prioritize work, balance short-term needs with long-term health, and foster an inclusive, high-performing team culture across time zones in the North