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HomeCompaniesSpotifyPrincipal Product Manager, Agentic Surfaces

Principal Product Manager, Agentic Surfaces

Spotify · New York, NY · Remote · Active · Lever

Job facts

FieldValue
CompanySpotify
TitlePrincipal Product Manager, Agentic Surfaces
Normalized title-
Department / teamProduct / Personalization
LocationNew York, NY, United States
Work modelRemote / Remote
Employment typePermanent
Salary-
Statusactive
ATS providerLever
Posted / first seen2026-06-17 / 2026-06-18
Changed / last seen2026-06-18 / 2026-06-23

Related slices

PageWhat it containsOpen
Company jobsActive postings from Spotify.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Product.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySpotify
Source8f76458c-d40f-4324-bb14-bb757d1b7058
ATS providerLever

Description

Spotify’s Surfaces Foundation team builds the systems that power how personalized recommendations show up for hundreds of millions of listeners. From targeting and configuration to serving and evaluation, this team sits at the intersection of machine learning infrastructure and product experience. You’ll lead a group shaping how AI-driven recommendations evolve across every Spotify surface, helping teams move faster while keeping a strong, shared foundation. The United States base range for this position is $281,196 - $401,709 plus equity. The benefits available for this position include 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. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. What You'll Do Own the product vision, strategy, and roadmap for the agentic future of Home, with flexibility to extend across Now Playing, Browse, and other surfaces as the strategy matures Set the strategy for how Home's personalization evolves — determining where the established recommendation stack remains durable and where we deprecate it in favor of agents and the Large Personalization Model Lead the ideation, development, and launch of agentic experiences that move from reactive recommendations to proactive, intent-aware action Translate frontier model and agent capabilities into intuitive experiences a broad global audience understands and loves Exercise clear, traceable judgment: be explicit about what to build and what to say no to, and sunset work that no longer serves the strategy Set a high bar for quality and craft — the everyday interactions millions experience are the product — and hold the line between "looks great" and "is great" Establish the evaluation bar for agentic experiences: rigorous eval frameworks, instrumentation, and honest assessment across diverse user segments, since what delights one listener can miss millions of others Use prototypes and real results to learn — favor showing a working prototype over writing a long doc — and defer commitment until understanding is strong Use a mix of quantitative data, experimentation, and user research to understand behavior and make prioritization calls in genuinely ambiguous territory Partner deeply with engineering, ML, design, research, and data science to ship high-impact improvements at a fast cadence Influence senior stakeholders across Spotify, building alignment around a vision that spans multiple teams and surfaces Balance rapid iteration with our commitment to user trust, safety, and brand integrity at scale Who You Are 10+ years of product management experience, with a majority in AI, consumer-focused roles Proven track record shipping and scaling agentic products in production at scale — real agents that take autonomous action for users, not prototypes, demos, or scripted chatbots Experience owning consumer products with tens or hundreds of millions of users Demonstrated ability to balance investment across maturing and emerging technologies — knowing when to bet on the new and when to lean on the proven Demonstrated ability to set product vision and roadmap and bring executive and developer-leadership audiences along Exceptional product taste and instinct for what makes an experience delightful Decisiveness under incomplete information: you triangulate the best evidence available, make the call, and own the consequences — "the AI recommended it" is never an excuse Highly analytical; fluent in experimentation and using data to drive decisions Excellent communication and stakeholder management across large, distributed, cross-functional orgs Ability to thrive in fast-paced, ambiguous environments where the playbook is still being written Deep, current expertise in how AI and agents are transforming consumer software, with a track record of building and launching agentic capabilities at scale in production Experience with recommender systems, personalization, or large-scale ML-driven products — and the judgment to decide where an established stack stays durable versus where to move onto a new paradigm Technical background or proven ability to partner closely with ML engineers and researchers on what's feasible — comfortable pulling your own data, exploring a codebase, or spinning up a prototype to unblock yourself Experience building evaluation frameworks for AI-driven or personalized products at scale Experience influencing across broad organizations and helping teams adopt new ways of working You have either founder or startup experience Passion for audio, discovery, and redefining how the world finds what it loves next Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we have a work location This team operates within the Eastern Standard time zone for collaboration

Full job record

Job IDe41b54e2849fc714db2ec51bcf47a1e0d3997584
Org ID72fe3b06-0d08-4f7d-9dfd-beedeeda0a25
Source ID8f76458c-d40f-4324-bb14-bb757d1b7058
Board ID8f76458c-d40f-4324-bb14-bb757d1b7058
Providerlever
Provider Job Keya025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd
TitlePrincipal Product Manager, Agentic Surfaces
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY
DepartmentProduct
TeamPersonalization
Employment TypePermanent
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionNY
CityNew York
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.lever.co/spotify/a025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd
Apply URLhttps://jobs.lever.co/spotify/a025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd/apply
First Seen At2026-06-18 07:57:08Z
Last Seen At2026-06-23 07:56:53Z
Last Checked At2026-06-23 07:56:53Z
Last Changed At2026-06-18 07:57:08Z
Inactive At
Source Posted At2026-06-17 15:26:43Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=spotify/date=2026-06-23/2026-06-23T07-56-53-337Z-25fb3c1fb125f8989660dc7f15cd809588d3999d4185827e0e1ccff4ee2d857f.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    },
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      "text": "Where You'll Be",
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