GM, AI Foundation
Spotify
GM, AI Foundation
Job Description
The Personalization team powers consumer AI at Spotify — shaping the experience for 650M+ listeners by helping them find the perfect thing to play next. We’re relentlessly focused on making Spotify feel uniquely tailored to every individual, every time.
From iconic products like Discover Weekly and Daily Mix to next-generation Generative AI features like AI DJ and AI Playlists, this team builds some of Spotify’s most beloved experiences, including the Spotify Homepage itself.
Join us, and you’ll help millions find music, podcasts and audiobooks they’ll love , by creating smarter, more intuitive, and more interactive recommendations powered by ground breaking AI and personalization technologies — reaching every single user, every single day.
In this role, you will lead the “AI Foundation” studio, which develops the core ML and AI systems that power all personalized experiences on Spotify. Your impact and technology leadership will extend to the entire company, and you will help Spotify remain a world leader in personalized experiences throughout the current AI revolution.
Locations
- New York, New York, United States
- Boston, Massachusetts, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
450,000 - 850,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Leading and managing large-scale engineering teamsintermediate
- Defining technical strategiesintermediate
- AI, Machine Learning, Large Language Models, diffusion technologiesintermediate
- Analytical thinkingintermediate
- Data-driven decisionsintermediate
- Communicationintermediate
- Cross-functional collaborationintermediate
- User-centered designintermediate
Required Qualifications
- 15+ years of experience leading and managing large-scale engineering teams to deliver impactful, well-loved, robust and scalable software solutions (experience)
- Strong track record of defining technical strategies, gaining leadership consensus, collaborating with cross-functional teams, and delivering AI-driven technologies at scale for multi-million user products (experience)
- Hands-on experience with AI, Machine Learning, Large Language Models, and diffusion technologies, with demonstrated success in achieving measurable business impact, and pushing the state-of-the-art forward (experience)
- Excellent instincts paired with deep analytical thinking, enabling prioritization and data-driven decisions (experience)
- Thrive in rapidly evolving landscapes, bringing clarity and focus to ambiguity while inspiring teams (experience)
- Adept at translating complex technical concepts into simple, actionable strategies and guiding teams through challenges (experience)
- Passionate about creating user-centered solutions, partnering with product, design, and insights teams (experience)
- Skilled communicator, comfortable engaging with diverse team members from interns to CEO (experience)
Responsibilities
- Build, grow, and lead a Studio of skilled engineers, data scientists and product managers fostering a collaborative and inclusive environment
- Architect and deliver impactful, innovative AI systems and capabilities that power Spotify’s product ecosystem
- Design, maintain and complete a technical roadmap, ensuring alignment with user needs, strategic business objectives, partner expectations, and technological advancements
- Define, track, and report metrics and targets that measure the success and impact of your team's AI solutions
- Build strong relationships with cross-functional teams, aligning on strategy, vision, and execution
- Ensure the health, resilience, and growth of your teams, cultivating a high-performance, supportive culture
- Join meetings with key external partners to innovate on new and impactful opportunities in AI
- Work East Coast hours
Benefits
- general: Flexibility to work where you work best within the North America region as long as we have a work location
- general: Team operates within the Eastern Standard time zone for collaboration
Tags & Categories
GM, AI Foundation
Spotify
GM, AI Foundation
Job Description
The Personalization team powers consumer AI at Spotify — shaping the experience for 650M+ listeners by helping them find the perfect thing to play next. We’re relentlessly focused on making Spotify feel uniquely tailored to every individual, every time.
From iconic products like Discover Weekly and Daily Mix to next-generation Generative AI features like AI DJ and AI Playlists, this team builds some of Spotify’s most beloved experiences, including the Spotify Homepage itself.
Join us, and you’ll help millions find music, podcasts and audiobooks they’ll love , by creating smarter, more intuitive, and more interactive recommendations powered by ground breaking AI and personalization technologies — reaching every single user, every single day.
In this role, you will lead the “AI Foundation” studio, which develops the core ML and AI systems that power all personalized experiences on Spotify. Your impact and technology leadership will extend to the entire company, and you will help Spotify remain a world leader in personalized experiences throughout the current AI revolution.
Locations
- New York, New York, United States
- Boston, Massachusetts, United States
Salary
Salary details available upon request
Estimated Salary Rangemedium confidence
450,000 - 850,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Leading and managing large-scale engineering teamsintermediate
- Defining technical strategiesintermediate
- AI, Machine Learning, Large Language Models, diffusion technologiesintermediate
- Analytical thinkingintermediate
- Data-driven decisionsintermediate
- Communicationintermediate
- Cross-functional collaborationintermediate
- User-centered designintermediate
Required Qualifications
- 15+ years of experience leading and managing large-scale engineering teams to deliver impactful, well-loved, robust and scalable software solutions (experience)
- Strong track record of defining technical strategies, gaining leadership consensus, collaborating with cross-functional teams, and delivering AI-driven technologies at scale for multi-million user products (experience)
- Hands-on experience with AI, Machine Learning, Large Language Models, and diffusion technologies, with demonstrated success in achieving measurable business impact, and pushing the state-of-the-art forward (experience)
- Excellent instincts paired with deep analytical thinking, enabling prioritization and data-driven decisions (experience)
- Thrive in rapidly evolving landscapes, bringing clarity and focus to ambiguity while inspiring teams (experience)
- Adept at translating complex technical concepts into simple, actionable strategies and guiding teams through challenges (experience)
- Passionate about creating user-centered solutions, partnering with product, design, and insights teams (experience)
- Skilled communicator, comfortable engaging with diverse team members from interns to CEO (experience)
Responsibilities
- Build, grow, and lead a Studio of skilled engineers, data scientists and product managers fostering a collaborative and inclusive environment
- Architect and deliver impactful, innovative AI systems and capabilities that power Spotify’s product ecosystem
- Design, maintain and complete a technical roadmap, ensuring alignment with user needs, strategic business objectives, partner expectations, and technological advancements
- Define, track, and report metrics and targets that measure the success and impact of your team's AI solutions
- Build strong relationships with cross-functional teams, aligning on strategy, vision, and execution
- Ensure the health, resilience, and growth of your teams, cultivating a high-performance, supportive culture
- Join meetings with key external partners to innovate on new and impactful opportunities in AI
- Work East Coast hours
Benefits
- general: Flexibility to work where you work best within the North America region as long as we have a work location
- general: Team operates within the Eastern Standard time zone for collaboration
Tags & Categories