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Spotify Research Jobs (NOW HIRING)

This role leads marketing for Shipping Our Expertise (SOE), Spotify's B2B SaaS business built on our platform capabilities, while also shaping the broader Spotify R&D brand. What You'll Do * Set and ...

This role leads marketing for Shipping Our Expertise (SOE), Spotify's B2B SaaS business built on our platform capabilities, while also shaping the broader Spotify R&D brand. What You'll Do * Set and ...

Have a direct impact on Spotify's products, tools, and services, working on projects that influence the entire organization. * Engage with the broader research community by publishing your findings ...

... Spotify agent-powered features. This role sits at the intersection of production systems engineering, LLM infrastructure, evaluation science, and applied research, and it requires someone who can ...

Senior Engineering Manager - ML

Boston, MA · On-site +1

$227K - $324K/yr

... Spotify agent-powered features. This role sits at the intersection of production systems engineering, LLM infrastructure, evaluation science, and applied research, and it requires someone who can ...

... Spotify agent-powered features. This role sits at the intersection of production systems engineering, LLM infrastructure, evaluation science, and applied research, and it requires someone who can ...

Associate Manager, Marketing Science

New York, NY · On-site

$36 - $49.50/hr

Build compelling, multi-source, advertising research stories that educate our sellers, marketers and clients and tout Spotify's unique value proposition * Extract insights from large and diversified ...

Build compelling, multi-source, advertising research stories that educate our sellers, marketers and clients and tout Spotify's unique value proposition * Extract insights from large and diversified ...

... Spotify agent-powered features. This role sits at the intersection of production systems engineering, LLM infrastructure, evaluation science, and applied research, and it requires someone who can ...

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... Research and apply ML optimization strategies to balance multiple objectives effectively. • ...

... Spotify agent-powered features. This role sits at the intersection of production systems engineering, LLM infrastructure, evaluation science, and applied research, and it requires someone who can ...

Senior Machine Learning Engineer - Ads R&D

$107K - $146K/yr

Spotify is seeking a Senior Machine Learning Engineer to join their Advertising Product ... Research and apply ML optimization strategies to balance multiple objectives effectively. • ...

Spotify is a leading audio streaming subscription service that aims to unlock the potential of ... from research and development into production • Implement and monitor model success metrics ...

Job Summary : Spotify is a leading music streaming platform, and they are seeking a Machine ... from research and development into production • Implement and monitor model success metrics ...

Frontend Engineer - Music

New York, NY · On-site +1

$133K - $190K/yr

The Rights Systems team builds and operates Spotify Rights Center (SRC), Spotify's rights ... Contribute to product discovery and ideation with engineers, researchers, and product specialists

$164K - $234K/yr

We build and maintain products like Spotify for Podcasters, Megaphone, and Chartable, and are ... Experience productionizing research projects, prototypes, or experimental systems * Familiarity ...

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Spotify Research information

What are the key skills and qualifications needed to thrive as a Spotify Researcher, and why are they important?

To thrive as a Spotify Researcher, you need a strong background in computer science, data analysis, and machine learning, often supported by an advanced degree (Master’s or PhD) in a relevant field. Familiarity with programming languages such as Python, data processing frameworks, and research tools like TensorFlow or PyTorch is typically required. Strong problem-solving, communication, and collaboration skills set outstanding candidates apart in this multidisciplinary environment. These skills are crucial for developing innovative solutions, advancing Spotify’s technology, and translating research insights into impactful products.

What is the difference between Spotify Research vs Data Scientist?

AspectSpotify ResearchData Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch teams focused on innovative projects, experimental analysisCross-functional teams applying data analysis to product development
Employer & Industry UsagePrimarily in research labs, tech companies, and R&D departmentsWidely in tech, finance, healthcare, and other data-driven industries

Spotify Research specializes in innovative, experimental research to improve products, often requiring advanced degrees. Data Scientists focus on analyzing data to inform business decisions and product features. Both roles require strong analytical skills but differ in their focus on research versus applied data analysis.

How does a Spotify Researcher typically collaborate with product and engineering teams?

Spotify Researchers regularly work alongside product managers and engineers to translate research findings into actionable product improvements. This collaboration often involves presenting insights, co-creating user personas, and participating in design sprints to ensure user needs are at the forefront of product development. Researchers may also help prioritize features based on user data and feedback, making strong communication and teamwork essential skills for the role.

What is Spotify Research?

Spotify Research is a division within Spotify focused on advancing scientific and technological innovation in areas such as machine learning, audio analysis, user personalization, natural language processing, and music information retrieval. Researchers at Spotify work on developing new algorithms and systems to improve the Spotify platform, enhance user experiences, and drive the future of streaming audio. Their work often results in published papers, open-source tools, and collaborations with the wider academic and research community.
More about Spotify Research jobs
Infographic showing various Spotify Research job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 88% Full Time, 10% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Head of Backstage Marketing

Spotify

New York, NY • On-site

Other

Medical, Retirement, PTO

Re-posted 28 days ago


Job description

The Platform team creates the technology that enables Spotify to learn quickly and scale easily, enabling rapid growth in our users and our business around the globe. Spanning many disciplines, we work to make the business work; creating the infrastructure, tooling, frameworks, and capabilities needed to welcome a billion customers.
About the Team
Backstage was created at Spotify and has grown into a leading SaaS and open source platform for developer portals. Thousands of companies use Backstage to bring structure to complex microservices environments, improve developer experience, and ship high-quality software faster - including in the age of AI - without losing autonomy or control.Backstage powers centralized software catalogs, standards, and AI enablement capabilities across open source, plugins, and SaaS offerings.
Our customers include global enterprises and Fortune 100 companies transforming their engineering culture. This role leads marketing for Shipping Our Expertise (SOE), Spotify's B2B SaaS business built on our platform capabilities, while also shaping the broader Spotify R&D brand.
What You'll Do
  • Set and drive the end-to-end marketing strategy for the SOE business across product marketing, growth, and brand
  • Build and execute growth strategies that drive measurable revenue, adoption, and customer expansion
  • Lead digital and paid acquisition programs targeting developers, engineering leaders, and enterprise buyers
  • Define clear positioning and differentiated messaging for technical B2B audiences
  • Partner closely with Engineering, Product, and Sales to align roadmap, go-to-market plans, and commercial priorities
  • Establish and track full-funnel performance across awareness, acquisition, activation, retention, and revenue
  • Lead event and community strategy to increase visibility and generate qualified pipeline
  • Scale marketing operations through strong planning, dashboards, and performance reporting
  • Build, mentor, and grow a high-performing, data-informed marketing team

Who You Are
  • You have 10+ years of experience in B2B SaaS, growth marketing, or product marketing
  • You have 5+ years of experience leading and developing high-performing teams
  • You have experience marketing developer tools, infrastructure platforms, or technical SaaS products
  • You understand engineering culture and know how to communicate with technical audiences
  • You have owned revenue or adoption targets and can demonstrate measurable business impact
  • You have led digital performance marketing, paid acquisition, and growth funnel optimization
  • You are comfortable working with data, building forecasts, and using dashboards to guide decisions
  • You balance commercial thinking with strong product intuition and user-centered mindset
  • You bring structure and clarity to complex, ambiguous initiatives
  • You thrive in fast-moving environments and enjoy building new approaches from the ground up

Where You'll Be
  • This role is based in New York
  • 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 171,640-245,200USD, 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, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice