Senior Program Analyst - GTM Ops

Spotify is hiring a Senior Program Analyst - GTM Ops in New York, United States. Level rates it ; you can apply on Spotify.

Level's read on this job

Level rates this role Uses AI ●●○○: an ordinary role that requires AI tools.
The posting mentions SQL, BigQuery and dbt among its tools and skills.
Level classes it as a senior role.
Spotify has 88 other open roles on Level.

AI in this role

Senior Program Analyst in GTM Ops to own data pipelines, dashboards, and support LLM unstructured data processing.

sqlbigquerydbtllms

analytics-engineeringbusiness-intelligencedata-pipelinesgtm-operations

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.

The United States base range for this position is $92,293 - 131,847, 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.

How we rate this

Senior Program Analyst - GTM Ops at Spotify rates 45 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Program Analyst - GTM Ops is an open job at Spotify.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in New York, NY.
The job was posted on October 9, 2026.
Seniority: senior.
Applications are handled by Spotify. Apply on Spotify

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Analytics EngineeringBusiness IntelligenceData PipelinesGtm OperationsSQLBigQuerydbtLLMs

Questions you could be asked

Tell me about a project where analytics engineering was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where gtm operations was part of your work. What did you do?
Walk me through how you've used SQL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Analytics Engineering, Business Intelligence, Data Pipelines, Gtm Operations, and SQL. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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