Spotify

Client Partner

• Work with Spotify Studios content teams to create unique and compelling integrated sponsorship opportunities for clients.
• Create strategic, GTM plans for new shows and ideate on how advertisers can partner with us at launch.
• Lead client and agency presentations showcasing how our integrated ideas come to life.
• Partner closely with the Spotify frontline sales team to tailor ideas for specific verticals and clients.
• Partner internally with sales support, marketing and Spotify Studios teams to ensure our ideas are operationalized.
• Focus on brand sell, educating and inspiring our clients to leverage Spotify podcast content to enhance their business goals and outcomes.
• Meet and exceed revenue expectations attached to specific podcasts.
• Attend weekly and monthly NA Sales Meetings to showcase ideas that will help create enthusiasm with clients.
• Represent Spotify at specific events and serve as a brand ambassador.
• Manage activity using salesforce.com and other internal systems.

Podcast Client Partner

Customer Success Manager

• Lead the strategy and execution of CRM and marketing technology to drive advertiser acquisition, engagement, retention, and revenue growth
• Design and scale lifecycle marketing programs that improve through experimentation, automation, and continuous learning
• Build and optimize audience segmentation, lead management, and campaign orchestration across channels
• Own the CRM and Martech roadmap, ensuring tools and systems are integrated, scalable, and aligned with business goals
• Partner with Product, Engineering, Data, and Sales to translate business needs into effective, data-driven marketing solutions
• Drive adoption of AI and automation to improve personalization, efficiency, and speed of insight across marketing programs
• Oversee measurement frameworks, attribution models, and reporting to enable clear, actionable decision-making
• Lead and develop a high-performing team, creating clarity around priorities, ownership, and ways of working

Associate Director, CRM – Martech

Product Manager

• Develop a product vision and strategy for conversational and AI-powered experiences on Spotify
• Own and prioritize a long-term product roadmap across multiple surfaces and interaction models
• Define intuitive user experiences that combine direct responses with seamless navigation across the app
• Partner with engineering, design, and AI teams to deliver high-quality, scalable solutions
• Use data, insights, and experimentation to inform decisions and improve user experience
• Work in a cross-functional team to bring ideas from concept to launch
• Drive alignment across teams and stakeholders to deliver cohesive experiences
• Collaborate across the organization to ensure consistency and maximize impact

Senior Product Manager – Core Experience

Marketing

• Manage and maintain Music Marketing campaigns and content calendar.
• Synthesize weekly campaign updates for leadership.
• Support operations lead in tracking and managing Music Marketing budget.
• Support Music Marketing Managers on clearance, upload, and go-live for video content.
• Support performance tracking and reporting for content and campaigns.
• Support maintenance of team meeting agendas and scheduling.
• Support additional campaign execution projects as needed.
• Work in tandem with the Music Studios team to grow the franchise portfolio.

Music Marketing Coordinator

Machine Learning Engineer

• Lead the technical architecture of Spotify’s Agent Engine, the shared runtime that powers agent-based experiences across the platform
• Guide the transition of existing agent-powered features into a unified system, balancing speed, reliability, and real-world product constraints
• Design how internal systems can be exposed as agent capabilities, enabling seamless integration across recommendations, search, catalog, and more
• Build and improve evaluation systems that help teams measure quality, reliability, and user impact with confidence
• Partner with research and machine learning teams to define what belongs in system design versus model capabilities
• Explore and prototype new approaches to agent-based systems, and bring successful ideas into production at scale
• Support best practices in building production-ready AI systems, including experimentation, observability, and performance optimization
• Contribute to technical standards that help teams move faster while maintaining security and reliability
• Stay connected to advances in the AI and machine learning community, and apply relevant ideas to Spotify’s products

Senior Staff Machine Learning Engineer – Agentic Systems

• Collaborate with Music Marketing Managers and cross-functional partners on artist marketing plans
• Work with partners across various teams to create integrated go-to-market plans
• Track success of campaigns across channels and report back
• Oversee artist support across key channels
• Work with Rights & Clearance team for licensing requests
• Assist Operations Manager in creating efficiencies and maintaining budgets
• Communicate regularly with stakeholders to ensure alignment

Data Scientist

• Explore how listeners experience Spotify Premium and identify opportunities to improve conversion, retention, and engagement.
• Design and analyze experiments to understand the impact of new features and product changes.
• Build and orchestrate AI-powered analytical workflows to automate complex analyses and scale output.
• Define and track meaningful metrics that reflect the health and value of the Premium experience.
• Develop dashboards and tools that help teams monitor performance and make informed decisions.
• Investigate user behavior trends and bring forward insights that shape product direction.
• Partner closely with cross-functional teams to align on goals and translate data into action.
• Communicate insights clearly to a wide range of audiences, including senior stakeholders.
• Contribute to a strong, collaborative data culture by sharing knowledge and supporting peers.

Data Scientist – Subscriptions

Backend Engineer

• Work with a collaborative team to improve the infrastructure systems that power Spotify’s backend
• Build, operate, and maintain central services with a focus on reliability and scalability
• Design and develop infrastructure tools and services used by engineering teams across Spotify
• Work with modern technologies at scale, supporting thousands of developers and over a billion users
• Contribute to improving system performance, availability, and resilience
• Take part in an on-call rotation and support the services your team owns

Backend Engineer – Core Infrastructure

• Design and implement machine learning systems for ad performance optimization.
• Research and apply ML optimization strategies to balance multiple objectives effectively.
• Analyze data and use machine learning techniques to understand user behavior and improve ad experiences.
• Collaborate with backend engineers, data scientists, data engineers, and product managers to establish baselines, inform product decisions, and develop new technologies.

Senior Machine Learning Engineer – Ads R&D

Program Manager

• Drive delivery of complex, high-priority programs across Subscriptions, often spanning multiple teams and domains
• Partner closely with Bet Leads and the Bet Strategy Lead to translate strategy into clear plans, sequencing, and execution approaches
• Establish strong operating models, defining scope, ownership, governance, and execution rhythms to enable predictable delivery
• Connect teams across Product, Engineering, Design, and Insights, ensuring alignment and active management of dependencies, risks, and trade-offs
• Use AI-supported tools and workflows to streamline planning, reporting, and risk identification, enabling faster and more informed decision-making
• Create clarity and accountability by making progress visible, surfacing issues early, and enabling effective decision-making
• Actively steer delivery by focusing on outcomes and intervening where needed to keep programs on track

Program Manager – Subscriptions Delivery

Financial Planning and Analysis

• Build and improve financial models that support forecasting, budgeting, and long-range planning across advertising revenue and content costs
• Prepare clear, actionable reporting and performance insights for business leaders and Corporate FP&A
• Support global revenue forecasting by analyzing demand trends, pricing, inventory, and sales performance
• Partner on deal modeling and scenario analysis to evaluate new business opportunities and their impact on the P&L
• Develop and enhance dashboards and reporting tools to track performance, monetization trends, and key metrics
• Share monthly and quarterly performance insights, highlighting drivers, risks, and opportunities
• Collaborate with cross-functional partners to align financial plans with product, market, and business strategies
• Help improve FP&A processes, systems, and data infrastructure as we scale

Podcast Client Partner

Associate Director, CRM – Martech

Senior Product Manager – Core Experience

Music Marketing Coordinator

Senior Staff Machine Learning Engineer – Agentic Systems

Music Marketing Coordinator

Data Scientist – Subscriptions

Backend Engineer – Core Infrastructure

Senior Machine Learning Engineer – Ads R&D

Program Manager – Subscriptions Delivery

Analyst, FP&A - Ads