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About the Role
The Platform team develops technology that enables Spotify to learn quickly and scale easily, supporting global business growth. Enterprise AI builds and operates the internal AI platform layer, evolving AI tooling into reliable infrastructure for daily use. This role focuses on the connective tissue between AI models and internal systems, emphasizing security, governance, identity, integrations, and dependable AI infrastructure.
Responsibilities
- Design, build, and operate secure enterprise AI platform capabilities connecting AI models, agents, tools, and internal systems.
- Own major workstreams in enterprise AI infrastructure, including the Model Context Protocol (MCP) gateway and enterprise context capabilities.
- Build reliable backend services, APIs, and integrations for AI-powered experiences.
- Develop scalable approaches to AI governance, including identity-aware access, permissions, auditing, policy enforcement, and risk management for third-party AI tools.
- Design, build, test, and evaluate agentic systems and workflows for information access and task accomplishment.
- Take operational ownership of built services and components, balancing speed, reliability, security, and maintainability.
- Partner with engineers and stakeholders to identify opportunities, make technical tradeoffs, and translate AI needs into scalable platform capabilities.
- Contribute to engineering practices, knowledge sharing, and AI fluency for operating enterprise AI infrastructure at scale.
Requirements
- Strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems.
- Experience with backend languages such as Python, Go, or similar.
- Comfortable designing APIs and integrations across complex systems.
- Understanding of software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
- Experience with identity and authentication concepts and technologies (e.g., OAuth, SAML, SCIM).
- Experience working with cloud infrastructure; familiarity with Google Cloud Platform is valuable.
- Comfortable navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs.
- Cares about operational ownership and building dependable infrastructure.
- Enjoys experimentation, iteration, knowledge sharing, and continuous learning in a collaborative engineering environment.
- Experience with enterprise SaaS or platform engineering, or with LLM integration patterns (tool use, function calling, agentic workflows, systems-level prompt engineering) is beneficial.
Skills
- Python
- Go
- Backend Development
- API Design
- Integrations
- Software Architecture
- Identity and Authentication
- OAuth
- SAML
- SCIM
- Cloud Infrastructure
- Google Cloud Platform
- Operational Ownership
- Enterprise SaaS
- Platform Engineering
- LLM Integration Patterns
- Tool Use
- Function Calling
- Agentic Workflows
- Systems-Level Prompt Engineering
Location
- New York
Work Type
- Hybrid
Salary/Compensations
- $164,448–$234,926 USD
Benefits
- Equity
- Health insurance
- Six-month paid parental leave
- 401(k) retirement plan
- Monthly meal allowance
- 23 paid days off
- Paid flexible holidays
- Paid sick leave
About the Company
- Spotify is an equal opportunity employer.
- Our platform is for everyone, and so is our workplace.
- 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.
Equal Opportunity
- 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.
- 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.
- 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.