Summary written by USA Jobs 24 from Spotify's advert and our data on 17,030 current US jobs. How we check every job
At a glance
Spotify is hiring a Senior Software Engineer - Enterprise AI in New York, NY. It is a full-time fully remote role in Data, AI & Analytics, first listed on November 1. The advertised pay is $164,448–$234,926 a year. The description mentions Python, Google Cloud and Generative AI. Spotify has 24 other openings in the US, 22 of them in New York, NY. Across all employers on USA Jobs 24 there are 379 Data & AI openings in New York, NY today; the typical one asks for 5 years and advertises about $222,000 a year at the midpoint.
How the pay compares
Spotify advertises $164,448 to $234,926 a year, a midpoint of $199,687 a year. Where an offer lands in a range usually depends on experience and on the exact location. That is lower than about 64% of the 315 data & AI jobs in New York that publish a yearly rate on USA Jobs 24, where the typical midpoint is $216,000 a year. To see roughly what this leaves after federal and New York tax, try our take-home pay calculator.
Skills in this advert
How often each skill named in this advert appears across the 1,778 data & AI jobs we list today. Python is the most widely requested (46% of jobs), while Google Cloud is the least common (10%). Widely requested skills are what employers expect as a baseline; rarer ones show what is special about this job.
Paste your resume and this advert into our resume match tool to see which of these words your resume already covers.
Before you apply
- Check it is still open. We found this job on Spotify's Lever site on November 1 and checked it again November 4, 5:17 AM ET. When an employer takes a job down, we remove it at our next daily update.
- Check where you can work from. This job is listed as remote. Many US employers can only hire remote staff in states where they run payroll, so look for a list of states in the advert below.
- Tailor your resume. Use the advert's own words, such as Python, Google Cloud and Generative AI, wherever they are true for you. Our resume guide shows how.
- Know your number. Decide the lowest offer you would accept before the first call. Our salary negotiation guide explains how to ask for more.
- Apply only through Spotify's own site. Our Apply button goes straight to Spotify's Lever page. If anyone contacts you about this job and asks for money, gift cards or bank details, stop and check it with our scam checker. Read how to spot a fake job offer.
About hiring at Spotify
Spotify has 25 openings on USA Jobs 24 today across 3 states. Most are in data & AI (10), software & IT (5) and marketing (4). The biggest locations are New York, NY (23), Los Angeles, CA (2) and San Francisco, CA (1). 52% of them are remote, none is marked entry level and 96% show pay. We collect Spotify's jobs every day straight from its own careers system (Lever), never from job boards or agencies.
The employer's advert
This is Spotify's own description of the job, copied word for word from its careers site. We have not edited it.
Show the full advert from SpotifyHide the advert678 words
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.
Enterprise AI builds and operates the internal AI platform layer that supports Spotifiers across the company. We’re helping evolve AI tooling into reliable infrastructure that teams can use in their day-to-day work. Our team builds the connective tissue between AI models and Spotify’s internal systems, with a focus on secure access, governance, identity, integrations, and dependable AI infrastructure.
What You'll Do
- Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify’s internal systems.
- Own major workstreams across our enterprise AI infrastructure, including our Model Context Protocol (MCP) gateway and enterprise context capabilities, from technical design through launch and operation.
- Build reliable backend services, APIs, and integrations that enable AI-powered experiences across Spotify’s digital workplace.
- Help develop scalable approaches to AI governance, including identity-aware access, permissions, auditing, policy enforcement, and managing risks associated with third-party AI-enabled tools.
- Design, build, test, and evaluate agentic systems and workflows that help Spotifiers access information and accomplish tasks effectively.
- Take operational ownership of the services and components you build, balancing speed, reliability, security, and long-term maintainability.
- Partner with engineers and stakeholders across Spotify to identify opportunities, make thoughtful technical tradeoffs, and turn emerging AI needs into scalable platform capabilities.
- Contribute to engineering practices, knowledge sharing, and AI fluency as we learn how to operate enterprise AI infrastructure at Spotify scale.
Who You Are
- You have strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems.
- You are experienced with backend languages such as Python, Go, or similar and are comfortable designing APIs and integrations across complex systems.
- You understand software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
- You have experience with identity and authentication concepts and technologies such as OAuth, SAML, or SCIM.
- You have experience working with cloud infrastructure; familiarity with Google Cloud Platform is valuable.
- You are comfortable navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs.
- You care about operational ownership and building dependable infrastructure that other teams and employees can rely on.
- You enjoy experimentation, iteration, knowledge sharing, and continuous learning in a collaborative engineering environment.
- Experience with enterprise SaaS or platform engineering, or with LLM integration patterns such as tool use, function calling, agentic workflows, or systems-level prompt engineering, will help you make an impact in this role.
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 $164,448–$234,926 USD, 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.
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.
USA Jobs 24 copied this listing from Spotify's official careers site on November 1, 2026 and checked it again November 4, 5:17 AM ET. Spotify will never ask you to pay to apply or to buy equipment with a check they send you. If anyone does, it is a scam.
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