Spotify

Program Manager

• Manage Integrated Solutions approvals and vetting across The Ringer podcast portfolio
• Triage sponsorship requests, coordinate with partners, and track requests through resolution
• Maintain visibility into approvals across formats and shows
• Partner with sales teams on approval timelines, show availability, booking logistics, and podcast advertising formats
• Resolve campaign-specific blockers
• Connect Spotify’s sales organization with The Ringer Studios Business Operations team
• Translate new formats, processes, and advertising products into clear execution
• Manage The Ringer Podcast Booking Calendar, including holds, bookings, new shows, editorial updates, and post-sale changes
• Coordinate the PS3 workstream for new Ringer show launches
• Support advertising format rollouts and maintain sales resources such as show sheets, FAQs, format guidance, booking tools, and enablement materials
• Analyze campaign, booking, inventory, and revenue information to identify discrepancies and improve operational processes

Program Manager – Podcast Sales Strategy & Solutions

Engineering Manager

• Lead, coach, and develop a multidisciplinary team of machine learning, data, and backend engineers
• Provide technical leadership on complex ML systems, including modeling strategy, implementation, technical tradeoffs, risks, and decisions
• Represent and advocate for the team with cross-functional stakeholders across business, product, insights, and personalization
• Empower engineers to own technical decisions while providing direction and resolving tradeoffs when needed
• Serve as the point of contact for cross-functional partner requests and protect the team’s focused work time
• Own healthy delivery, prioritization, capacity management, operational health, and reliable execution
• Stay close to engineering craft and contribute hands-on to technical problem solving and engineering work when useful
• Help the team use AI effectively in engineering workflows and identify opportunities for AI to improve ML systems
• Hire and onboard engineers and build resilient team capabilities and knowledge distribution

Machine Learning Engineering Manager – Music

Technical Program Manager

• Lead end-to-end program management for large-scale ML and personalization initiatives
• Drive delivery of recommendation systems and personalization models used by listeners worldwide
• Own program roadmaps, milestones, dependency maps, and risk plans
• Orchestrate ML development workflows, including model training pipelines, experimentation, data infrastructure, and production deployment
• Partner with engineering leaders on capacity planning, resourcing, and technical trade-off decisions
• Drive alignment across ML engineering, data science, product, platform, and UX teams
• Establish program metrics, reporting rhythms, and dashboards for leadership visibility
• Communicate progress, risks, and decisions to leadership
• Improve collaboration and processes across the ML lifecycle
• Help bring machine learning and personalization work to life for Spotify's listeners

Revenue Operations

• Support the monthly and quarterly revenue close, including journal entries, revenue accruals, deferrals, and manual adjustments in accordance with IFRS
• Prepare and review complex balance sheet reconciliations across statutory books and consolidated ledgers
• Analyze month-end movements across revenue, deferred revenue, accounts receivable, and related accounts
• Manage global e-invoicing operations across subsidiaries
• Partner with Tax to understand local requirements and resolve invoice delivery, data, and validation issues
• Support day-to-day global Order-to-Cash operations, including manual billing and accounts receivable activities
• Maintain strong financial controls and support SOX, ITGC, and internal and external audit requirements
• Identify operational bottlenecks and partner with IT and Financial Engineering to design, test, and implement system enhancements, automated workflows, and controls
• Collaborate with Legal, Sales, Sales Operations, FP&A, Tax, Technical Accounting, and other partners on revenue policies, programs, and strategic initiatives
• Mentor and support accounting team members and external vendor partners
• Contribute to operational metrics, integrations, and special projects

Senior Revenue Operations Analyst

Backend Engineer

• Build and run production backend systems that improve how listeners discover and enjoy music videos
• Design, develop, and evolve scalable backend services and APIs supporting high-traffic parts of the Spotify app
• Develop and maintain Java services and Scio data pipelines used by millions of listeners
• Partner with product managers and engineers to solve complex problems and create smooth listener experiences
• Contribute to system design, code quality, and reliable, well-run systems within an autonomous, cross-functional squad
• Explore and experiment with AI tools available at Spotify to improve development and shipping

Backend Engineer – Music

• Own Integrated Solutions approvals and vetting across The Ringer podcast portfolio
• Triage sponsorship requests, coordinate with partners, and track requests through resolution
• Maintain approval status across formats and shows
• Partner with sales teams on approval timelines, show availability, booking logistics, and podcast advertising formats
• Resolve campaign-specific blockers
• Connect Spotify’s sales organization with The Ringer Studios Business Operations team
• Translate new formats, processes, and advertising products into operational plans
• Manage The Ringer Podcast Booking Calendar, including holds, bookings, new shows, editorial updates, and post-sale changes
• Coordinate the PS3 workstream for new Ringer show launches
• Partner across pricing, talent preferences, Creative Operations, sales enablement, and go-to-market readiness
• Support advertising format rollouts
• Maintain sales resources, show sheets, FAQs, format guidance, booking tools, and enablement materials
• Use campaign, booking, inventory, and revenue information to identify discrepancies and improve operations

Senior Program Manager – Podcast Sales Strategy, Solutions

Security Engineer

• Identify detection opportunities and define telemetry requirements
• Partner with the detection infrastructure squad and data owners to make detection and investigation signals available
• Develop, test, tune, and maintain detections across endpoint, identity, cloud, SaaS, email, and other security-relevant environments
• Investigate and prioritize alerts, determine security impact, and participate in incident containment and remediation
• Build repeatable investigation workflows and playbooks for alert triage, evidence collection, decision-making, escalation, containment, and response
• Improve proactive threat identification and threat hunting using internal telemetry and external threat intelligence
• Create AI workflows for Detection and Response that enrich alerts, analyze evidence, guide investigations, and automate repetitive response work
• Measure detection effectiveness, identify coverage gaps, and tune detections to balance security value, fidelity, and analyst workload
• Use SIEM, EDR, SOAR, and related security platforms to research threats, develop detections, investigate alerts, and validate security outcomes
• Share knowledge, document decisions, and communicate security findings to technical and non-technical audiences
• Partner with detection infrastructure and teams across Spotify to support detection and response at scale

Security Engineer – Detection and Response

Software Engineer

• Stay connected with Spotify following a conference
• Explore potential ML/AI opportunities based on the candidate’s background, interests, and experience
• Work on machine learning and AI problems involving recommendation systems, search and ranking, natural language understanding, generative AI, and audio analysis
• Contribute to impactful work at scale personalizing music, podcasts, and audiobooks for hundreds of millions of listeners

RecSys Developer

General

• Maintain contact with candidates met at the conference
• Explore suitable ML/AI opportunities at Spotify based on candidates’ backgrounds, interests, and experience
• Work on machine learning and AI problems involving recommendation systems, search and ranking, natural language understanding, generative AI, and audio analysis
• Develop impactful machine learning and AI solutions at scale for personalization of music, podcasts, and audiobooks

CoLM 2026

• Set up and own execution frameworks for large, multi-workstream programs, including operating cadences, documentation, rituals, and communication structures
• Collaborate with engineering, product, design, and marketing teams to define roadmaps and cross-functional dependencies
• Drive day-to-day program operations and facilitate coordination across partners and stakeholders
• Report program health, risks, scope changes, and progress to relevant parties and senior leadership
• Drive decision-making and alignment with senior leadership without formal authority
• Identify blockers, risks, and critical path issues and drive them to resolution
• Cultivate an energetic environment where people can do their best work

Program Manager – Audiobooks

Product Manager

• Define the product vision, strategy, and roadmap for session management across Spotify’s clients, device types, and strategic partner integrations
• Use research, data, and user and developer feedback to identify access friction and prioritize improvements
• Improve how sessions are established, maintained, and ended while balancing reliable access, account protection, privacy, and user control
• Shape device connection, session transfer, and partner authorization experiences, including clear consent flows
• Partner with engineering to make session and access capabilities reusable through APIs, client components, documentation, and integration guidance
• Work across client, device, and partner teams to align priorities and carry improvements through delivery and adoption
• Define success measures for access quality, user friction, developer experience, and adoption
• Balance immediate experience improvements, long-term technical investment, security, and privacy while providing clear direction

Senior Product Manager – User Platform

Research Scientist

• Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches
• Expand speech use cases for different markets and products
• Build and create models at scale to power the Spotify platform
• Champion research and development best practices and share knowledge with researchers within Speak
• Collaborate with engineering and data teams on new infrastructure and high-quality data
• Improve speech recognition and speech synthesis pipelines
• Turn proven research ideas into scalable products
• Develop novel machine learning techniques and architectures for generative conversational speech-to-speech models
• Explore methods to improve quality, understanding, and realism of speech technology

Senior Applied Research Scientist – Personalization

• Conduct original research in machine learning and AI focused on large-scale foundation models, generative AI, and post-training methods, including reinforcement learning
• Develop novel methodologies, models, and evaluation frameworks for personalization systems
• Design and execute rigorous experiments to explore ideas and validate research hypotheses
• Contribute to the scientific community through publications, talks, and conference participation
• Collaborate with cross-functional partners to translate research insights into long-term product opportunities
• Define and evolve a forward-looking research agenda aligned with Spotify’s personalization strategy
• Mentor others and contribute to a curious, collaborative research culture
• Help improve recommendations for Spotify listeners across music and podcasts

Research Scientist – Personalization

• Develop and experiment with new methods for speech synthesis and speech recognition, including end-to-end approaches
• Expand speech use cases for different markets and products
• Build and create models at scale to power the Spotify platform
• Champion research and development best practices and share knowledge with researchers within Speak
• Collaborate with engineering and data teams on new infrastructure and high-quality data
• Improve speech recognition and speech synthesis pipelines
• Turn proven ideas into scalable products
• Explore methods to improve quality, understanding, and realism of speech technology
• Develop production pipelines for generative conversational speech-to-speech models

• Lead and develop Engineering Managers across multiple teams
• Support Engineering Manager growth and create clarity around outcomes and engineering excellence
• Set and communicate engineering strategy across the studio
• Ensure clear technical direction aligned with IT’s mandate and Spotify’s business needs
• Strengthen technical judgment across the Engineering Manager group
• Improve architecture, quality, team capability, engineering practice, operational health, reliability, and ways of working
• Establish and evolve engineering best practices across the studio
• Champion reliability, security, compliance, and privacy in engineering decisions
• Shape the use of AI across Spotify and engineering workflows
• Partner with studio and alliance leadership, procurement, legal, engineering counterparts, and teams across Spotify
• Balance engineering investment with business priorities and solve meaningful business problems

Program Manager – Podcast Sales Strategy & Solutions

Machine Learning Engineering Manager – Music

Technical Program Manager

Senior Revenue Operations Analyst

Backend Engineer – Music

Senior Program Manager – Podcast Sales Strategy, Solutions

Security Engineer – Detection and Response

RecSys Developer

CoLM 2026

Program Manager – Audiobooks

Senior Product Manager – User Platform

Senior Applied Research Scientist – Personalization

Research Scientist – Personalization

Senior Applied Research Scientist – Personalization

Senior Engineering Manager – Information Technology