Spotify

Business Development Rep

• Own and grow a portfolio of strategic hardware and audio technology partnerships
• Contribute to defining and executing the long-term partnership strategy
• Lead negotiations for contractual agreements covering both business and technical terms
• Partner closely with Product, Engineering, and Audio teams to ensure integrations meet standards
• Build relationships across various functions at partner organizations
• Interface regularly with global teams
• Coordinate cross-functionally internally to drive partnerships forward
• Stay ahead of the consumer hardware and audio technology landscape
• Use data and AI-driven insights to improve partner integrations
• Advance Spotify’s position in hardware/audio ecosystems

Manager, Consumer Business Development – Speaker and Audio Partners

• Manage and grow a portfolio of strategic partnerships, with a focus on audiobooks and media partners, serving as a trusted day-to-day partner contact
• Act as the primary point of contact for partners' needs, while executing long-term partner strategies that bring value to Spotify users around the world.
• Lead and support the negotiation of contractual agreements and operationalize those partnerships to ensure commitments are delivered across product, marketing, reporting, and integrations.
• Build deep relationships across partner organizations, from product and engineering to business, marketing, and content, interfacing regularly with global teams.
• Partner closely with Product and Engineering to define and support distribution strategies and integrations across partner surfaces and platforms.
• Coordinate cross-functionally internally with Legal, Licensing, Product, Technology, Marketing, Content, and Premium teams to drive partnerships forward.
• Source, evaluate, and develop new partnership opportunities, with a focus on expanding Spotify’s audiobooks ecosystem, while scaling existing relationships across media and emerging partner areas
• Navigate evolving partner ecosystems and translate strategy into scalable execution.
• Partner closely with internal leads to operationalize and scale initiatives across a defined portfolio
• Stay ahead of industry trends across audiobooks, publishing, and the broader media landscape, bringing an informed perspective to partnership opportunities and internal priorities
• Leverage data and AI tools to identify emerging partnership opportunities and scale decision-making across a diverse partner set

Manager, Consumer Business Development – Audiobooks, Media Partners

Data Scientist

• Act as a core analytics partner to Podcast & Video content teams, providing deep-dive research and insights that shape long-term, data-driven programming and product roadmaps.
• Identify emerging trends in podcast listening and video consumption, pinpointing opportunities in priority markets to keep Spotify’s Podcast & Video strategy ahead of the curve.
• Transform complex data into scalable, actionable playbooks that empower global content and product teams to execute high-impact strategies.
• Design measurement frameworks using causal inference, experimentation, and modelling to quantify the incremental impact of Podcast & Video content and product decisions.
• Build and iterate on AI-powered dashboards and data visualisations that make Podcast & Video data more accessible and intuitive for stakeholders across the business.
• Leverage AI tooling, including LLMs and agentic coding assistants, to automate analytical workflows, accelerate insight generation, and explore new frontiers in data storytelling.
• Synthesise data findings into compelling narratives that drive alignment across Product, Engineering, and Content stakeholders.
• Gather stakeholder input to understand and translate their needs into clear data requirements and deliverables, supporting documentation, and knowledge sharing across the team.

Backend Engineer

• work with large-scale data pipelines with data processing frameworks like Scio, BigQuery, Google Cloud Platform and Apache Beam
• develop, deploy, and operate Java services that impact millions of users
• support machine learning projects powering personalized experiences
• collaborate with engineers, product managers, and stakeholders
• deliver scalable, testable, maintainable, and high-quality code
• share knowledge and promote best practices through mentorship

Backend Engineer – Personalization

• Design and build backend services that support podcast and video podcast content ingestion, management, and administration at scale.
• Own and operate high-availability systems, ensuring they are reliable, observable, and easy to maintain in production.
• Collaborate with SREs, other backend engineers, and cross-functional partners such as customer support and product managers to understand requirements and deliver effective solutions.
• Build and maintain integrations that support the podcast distribution API and content management systems.
• Drive operational excellence through better monitoring, alerting, automation, and incident response practices.
• Contribute to the technical direction of the platform, including evaluating AI-powered approaches to automate operational workflows.

Backend Engineer – Podcast

Content Marketing Manager

• Lead the design and evolution of data, backend and ML infrastructure systems powering Spotify’s content intelligence capabilities
• Build scalable infrastructure for multimodal content processing across audio, video, text, and image understanding pipelines
• Partner closely with Product Managers, Engineering Managers, and senior engineers to shape technical strategy across the Content Intelligence Product Area
• Drive architectural decisions across distributed systems, ML infrastructure, data processing platforms, and platform reliability
• Improve infrastructure supporting AI and LLM-enabled workflows
• Develop reliable and cost-efficient systems for high-throughput content processing
• Collaborate across organizational boundaries to drive alignment, technical quality, and long-term platform investments
• Mentor engineers and contribute to raising the engineering bar across the organization

Staff Engineer – Content Intelligence Infrastructure

Developer Relations

• Build and scale backend platforms that power AI agents and MCP servers across Spotify
• Design reliable infrastructure for orchestration, lifecycle management, monitoring, and deployment of AI-powered systems
• Define platform standards, tooling, and best practices that support secure, scalable, and high-quality agent development
• Develop evaluation frameworks including automated testing pipelines, benchmarks, and quality metrics for AI systems
• Improve observability through monitoring, logging, tracing, and performance analysis across distributed systems
• Build APIs, SDKs, templates, and self-service tools that improve the developer experience for teams building with AI
• Partner with engineers and cross-functional teams across Spotify to align on architecture, platform capabilities, and operational excellence
• Contribute to technical direction and help evolve the foundations of Spotify’s internal AI ecosystem

Senior Backend Engineer – Platform Developer Experience

• Lead the design and evolution of backend services that generate, distribute, and support personalized podcast episodes at scale
• Help transform MVPs and prototypes into reliable production systems with clear APIs, durable data flows, strong observability, and thoughtful operational patterns
• Shape the technical direction for agentic workflows and help establish quality and reliability standards for AI-generated content systems
• Build and improve creator merchandising features in Spotify for Creators, including podcast chapters, transcripts, previews, clips, guests, topics, thumbnails, and more
• Collaborate with engineers, product managers, designers, and cross-functional stakeholders across Spotify missions to align on requirements and deliver integrated experiences
• Partner closely with product and design to iterate on ideas, unblock technical exploration, and make pragmatic tradeoffs that balance experimentation with long-term maintainability
• Mentor engineers across the team and help raise the quality of technical design discussions, RFCs, reviews, and operational practices
• Contribute to a culture of experimentation, ownership, collaboration, and continuous learning

Senior Backend Engineer – Podcast

Full-stack Engineer

• Build and maintain across the stack: Contribute to backend services, APIs, data pipelines, and where needed, frontend interfaces, embracing Spotify's infrastructure patterns and continuing making WhoSampled the industry-leader in showcasing the story behind the music.
• Improve metadata matching: Evolve how WhoSampled's database is matched to Spotify's catalog, moving beyond heuristics toward ML-assisted approaches, including entity resolution and LLM-powered disambiguation. Better matching means more of WhoSampled's archive surfaces meaningfully within Spotify.
• Drive infrastructure modernisation: Lead meaningful infrastructure work that brings WhoSampled onto more robust, scalable foundations, working closely with Spotify's platform and security stakeholders.
• Take end-to-end ownership: Design, build, ship, and operate. You're accountable for the reliability and performance of the systems you own, and proactive about improving them.
• Be AI-forward: Bring AI tooling into your engineering practice; whether for data quality, matching, operational automation, or developer productivity.

Senior Full Stack Engineer

• Design and build systems that power audiobook ingestion, transformation, and delivery — ensuring performance, accuracy, and scalability across millions of titles.
• Contribute across the stack, from backend services and APIs to lightweight interfaces or operational tools, depending on the team’s evolving needs.
• Collaborate with engineers, PMs, and designers to translate sophisticated workflows into elegant, maintainable, and reliable systems.
• Be responsible for your impact — take operational responsibility for the services you build and drive continuous improvement in reliability and performance.
• Adapt and T-shape: Step into areas beyond your comfort zone (e.g., data pipelines, internal tooling, or deployment infrastructure) as the mission evolves.
• Author and review RFCs, sharing your insights and shaping technical decisions that affect the broader Audiobooks ecosystem.
• Embrace the Audiobooks Mission expectations: operate with “short toes,” take ownership beyond team boundaries, and value pragmatic, reversible decisions.
• Mentor and collaborate with peers, sharing knowledge and contributing to an inclusive, psychologically safe engineering culture.

Senior Backend Engineer – Audiobooks

Product Manager

• Set the vision, strategy, and roadmap for Messaging capabilities spanning audience reach, governance, campaign automation, and emerging engagement surfaces
• Lead and support a group of Product Managers building scalable platform solutions that evolve Messaging from operator-configured execution into intelligent, value-informed decisioning
• Drive the governance layer for Spotify’s messaging ecosystem by defining how competing business objectives — including conversion, engagement, retention, and upsell — are balanced across channels and user segments
• Lead the development of message classification systems, cross-domain signal integration, and attribution frameworks that enable continuous learning and optimization
• Build and protect audience reach through push notification recovery, opt-in optimization, and expansion into new off-platform channels such as WhatsApp
• Establish observability, monitoring, and alerting capabilities that make messaging performance visible to operators, stakeholders, and leadership
• Partner closely with engineering, design, and insights teams to deliver high-impact platform capabilities with speed and quality
• Collaborate with Growth, R&D, Content, and Marketing stakeholders to align priorities, governance principles, escalation paths, and messaging best practices
• Champion platform thinking across teams by promoting reusable capabilities, enforcing standards, and reducing structural limitations tied to manual configuration
• Inspire teams with a clear product vision while staying close enough to execution to remove blockers and drive meaningful outcomes

Group Product Manager – Messaging

Client Partner

• Lead consultative selling to inspire clients
• Identify and cultivate customer relationships
• Craft and present effective sales propositions
• Own and exceed ambitious revenue goals
• Deliver actionable insights and performance reports
• Collaborate with Product, Marketing, and Data teams

Client Partner – Emerging & Scaled

Machine Learning Engineer

• Contribute to the design, development, evaluation, and iteration of recommendation models powering music surfaces
• Drive hands-on ML development to improve recommendation quality across core surfaces
• Contribute to the team's adoption of generative recommendation models
• Promote best practices in ML systems development and testing
• Collaborate with Data Science, Product, and Design partners to define success metrics and run A/B experiments
• Partner with teams across Personalization to integrate and test new signals in recommendation systems

Senior Machine Learning Engineer – Personalization

Engineering Manager

• Partner with peer engineering managers to support delivery across the Core Value & Engagement area.
• Lead a cross-functional engineering team with a mix of skills and experience levels.
• Support and coach engineers to grow, develop, and do their best work.
• Contribute to technical direction and ensure strong execution across your team.
• Work closely with product, design, and data partners to build meaningful user experiences.
• Help align teams on priorities, goals, and delivery plans.
• Create an inclusive, collaborative, and high-performing team environment.
• Identify and remove blockers to keep teams moving forward.
• Guide the adoption of AI-assisted development practices to improve quality and speed.
• Stay close enough to the code to support technical decisions and ensure strong implementation.

Engineering Manager – Core Experience, Core Value and Engagement

Financial Planning and Analysis

• Lead, manage, and develop a team of Financial Systems Analysts
• Own the operational health of Spotify's financial and legal SaaS suite
• Manage and continuously improve the team's operations
• Define and track team KPIs and operational metrics
• Partner with stakeholders to understand evolving requirements
• Drive a culture of continuous improvement and process optimization