Home › Companies › Spotify › Principal Product Manager, Agentic Surfaces
Principal Product Manager, Agentic Surfaces
Spotify · New York, NY · Remote · Active · Lever
Job facts
| Field | Value |
|---|---|
| Company | Spotify |
| Title | Principal Product Manager, Agentic Surfaces |
| Normalized title | - |
| Department / team | Product / Personalization |
| Location | New York, NY, United States |
| Work model | Remote / Remote |
| Employment type | Permanent |
| Salary | - |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-06-17 / 2026-06-18 |
| Changed / last seen | 2026-06-18 / 2026-06-23 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Spotify. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Product. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Spotify |
| Source | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| ATS provider | Lever |
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
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| Org ID | 72fe3b06-0d08-4f7d-9dfd-beedeeda0a25 |
| Source ID | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| Board ID | 8f76458c-d40f-4324-bb14-bb757d1b7058 |
| Provider | lever |
| Provider Job Key | a025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd |
| Title | Principal Product Manager, Agentic Surfaces |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, NY |
| Department | Product |
| Team | Personalization |
| Employment Type | Permanent |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://jobs.lever.co/spotify/a025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd |
| Apply URL | https://jobs.lever.co/spotify/a025cf69-f8c6-4873-9a8b-7ca6b1fbe9fd/apply |
| First Seen At | 2026-06-18 07:57:08Z |
| Last Seen At | 2026-06-23 07:56:53Z |
| Last Checked At | 2026-06-23 07:56:53Z |
| Last Changed At | 2026-06-18 07:57:08Z |
| Inactive At | — |
| Source Posted At | 2026-06-17 15:26:43Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=spotify/date=2026-06-23/2026-06-23T07-56-53-337Z-25fb3c1fb125f8989660dc7f15cd809588d3999d4185827e0e1ccff4ee2d857f.json |
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