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© 2026 RevOps Roles · Part of RevOps.Rocks
Terms·Privacy·
All JobsGTM EngineerSenior GTM Operations Program Analyst
Spotify logo
GTM Engineer·Senior·Hybrid

Senior GTM Operations Program Analyst

Spotify·New York, NY·Listed Oct 9, 2026
Compensation
Not disclosed
Experience
4+ yrs
Employment
Full-Time

Sell what you love. For us and millions of users across the globe, that’s Spotify. Join the Sales team and you’ll build the relationships that help grow our business in existing markets and beyond. We don’t just sell creative solutions to our clients and partners, we help to shape them; using our expert knowledge of ad products, sales channels and the industry to impact the way the world experiences music and podcasts.

Our Revenue Growth team drives advertiser acquisition and retention at scale by turning data into action. We build and run scalable go-to-market programs that help advertisers succeed, through lifecycle communications and seller-facing actions.

As a Senior Program Analyst - GTM Ops, you'll own the technical layer that makes Revenue Growth actually run. Working within Spotify's broader data infrastructure, you'll build the team-specific tools, endpoints, and pipelines our programs depend on — the reporting that helps sellers act, the data feeds that power our advertiser tools, the pipelines that keep everything moving. Your work won't be abstract; it shows up directly in what the team ships and what sellers experience.

What You’ll Do

  • Work on high-impact data problems that support revenue growth and help our advertising business scale
  • Build and maintain dbt models and BigQuery pipelines that power team tools and seller-facing reporting
  • Monitor pipeline health, identify issues early, and partner with data engineering and Insights teams to resolve upstream challenges
  • Create dashboards and reports that sales teams rely on, translating business needs into clear, actionable views
  • Partner closely with sales teams and leadership to understand needs, scope solutions, and deliver data that supports prioritization and decision-making
  • Improve how data is used in the sales process by surfacing signals that help teams focus, personalize outreach, and close opportunities
  • Support and extend pipelines that process unstructured data using LLMs, ensuring outputs are reliable, validated, and usable within BigQuery

Who You Are

  • You have 4+ years of experience in analytics engineering, BI engineering, or data/reporting roles, ideally supporting go-to-market, growth, or sales teams
  • You are experienced with SQL and BigQuery, and build with reliability and maintainability in mind
  • You have worked with dbt and understand how to extend and maintain models within an existing DAG
  • You enjoy building systems that work consistently for a team and take pride in operational reliability
  • You communicate clearly and can partner directly with non-technical stakeholders to understand needs and deliver solutions
  • You are comfortable translating business questions into structured data outputs and reporting
  • You are curious about applying AI in data workflows, including working with or learning about LLM-driven pipelines

Where You’ll Be

  • This role is based in New York City.
  • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

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Company Context

Industry
Media
Company size
Enterprise
Tech stack
Modern Stack

Tools & Tech

BigQuerydbtSQLAI
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Relevant people

  • JC

    Janice Cheng— LinkedIn profile, opens in a new tab

    Revenue Operations Manager

  • HB

    Harry Brown— LinkedIn profile, opens in a new tab

    Talent Acquisition at Spotify

People at Spotify who may be involved in hiring. Found via public search.

If you're named here and want your details removed, email us.

The Company

Spotify logoSpotify

Spotify is a music streaming service that provides on-demand access to millions of songs, podcasts, and audiobooks. The platform serves individual listeners and families globally through subscription and ad-supported tiers, competing in the digital audio entertainment industry.

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