Spotify

• Design, build, and maintain distributed data pipelines that power Spotify Wrapped data stories and personalized experiences for more than 300M users globally • Partner with Data Scientists to evaluate and operationalize new Wrapped story concepts, balancing personalization, scalability, and eligibility requirements • Build scalable systems that process large-scale listening data and generate insights celebrating users’ unique listening journeys • Develop and optimize pipelines supporting AI-powered personalized playlist experiences and recommendation technologies • Collaborate with partner teams to integrate social and shared listening experiences into Wrapped and adjacent user experiences • Contribute to technical excellence by improving reliability, observability, performance, and development velocity across the squad’s data systems • Support experimentation and iteration on new storytelling concepts beginning early in the product development cycle • Work cross-functionally with engineering, product, design, and music domain experts to bring large-scale personalized experiences to life

• 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

• 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.

• 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

• Own the end-to-end vision and roadmap for how Spotify content is shared, discovered, and amplified across platforms • Shape the strategy for sharing, from core sharing functionality to new social formats, collaborative features, and growth loops • Explore how emerging platforms and evolving user behaviors influence sharing, especially across Gen Z and global audiences • Identify opportunities to position Spotify at the intersection of audio and social culture through new product bets • Define clear success metrics to understand how sharing drives acquisition, engagement, and retention • Build strong relationships with external platform partners to unlock new integrations and experiences • Collaborate with Business Development and cross-functional teams to translate partnerships into meaningful product outcomes • Lead cross-functional teams across engineering, design, data, and research, creating clarity and momentum • Bring forward new ideas on how AI can enhance sharing experiences, from personalization to content creation

• Define Strategy: Set the vision for Spotify’s AI-driven experiences across partner agents and mobile surfaces, ensuring alignment with company priorities and user needs. • Lead Experience Development: Translate our foundational capabilities into compelling experiences across partner AI and agentic surfaces. • Drive Ubiquity: Own the roadmap for mobile ubiquity features including widgets, lockscreen experiences, navigation surfaces, and other integrations that deliver everyday value. • Partner with External Teams: Work directly with major technology partners to co-develop and launch integrated experiences, influencing partner roadmaps while ensuring high-quality execution. • Collaborate Across Spotify: Partner closely with Design, Engineering, BD, and more to deliver cohesive, scalable experiences built on shared patterns and reliable platform capabilities.

• Build & launch products in the Spotify Ads Manager to drive advertiser revenue and improve ad performance. • Leverage advertiser insights, lead data-driven experimentation, and navigate complex trade-offs to drive clear business impact and scale. • Drive continuous product discovery and funnel optimization for the advertiser platform, directly influencing retention and long-term business growth. • Implement AI tooling to build innovative and performant products with speed. • Work cross-functionally with engineering, design, product insights and business partners and collaboratively with other product teams to identify and drive high-impact opportunities. • Create products and APIs which scale on our ads platform. • Help develop a holistic ad strategy for the future of the Spotify Ads Business. • Create a healthy and productive environment in your team through honesty, accountability, empathy and inclusivity.

• Lead end-to-end creative development for Paid Social (Meta, TikTok, Snapchat), Google (Demand Gen, Google App Campaigns), CTV, and lifecycle marketing channels from brief through final asset delivery, ensuring all creative is on-brand and optimized for conversion. • Build and maintain a creative review framework that defines who reviews what, at which stage, and against which criteria, creating clarity and consistency across teams. • Advocate for creative quality, going beyond brand guideline compliance to support work that is compelling, differentiated, and built to perform. • Develop a POV on creative volume and testing — how much creative is needed, what should be tested, and what is driving impact vs. generating noise. • Build an annual creative roadmap of themes, priorities, and focus areas that aligns both teams around a shared creative strategy and reduces reactive production. • Analyze creative performance metrics (CTR, CVR, CPA, etc.) to identify effective patterns and surface opportunities for improvement. • Synthesize test results into clear, actionable creative briefs and iteration roadmaps, and communicate findings to stakeholders across both teams. • Identify and implement automation and AI tools across the creative workflow, establishing a clear framework for where and when they should be used vs. where human creative judgment is essential. • Stay ahead of platform-specific creative best practices and emerging formats, and proactively incorporate them into the creative playbook. • Collaborate with media buyers and growth managers to ensure creative is aligned with investment strategy, platform algorithms, and audience targeting.

• Lead and grow a team of AI-native engineers responsible for Platform’s multi-cloud foundation across GCP and AWS, our security posture, and the developer platform that thousands of Spotify engineers depend on every day. • Define the technical vision for our cloud platform, and make the architectural calls that shape how the rest of R&D builds, ships, and operates. • Own the security and compliance posture of the developer platform end-to-end, ensuring secure-by-default outcomes for every team building on top of us. • Drive the evolution of our developer tooling stack (CI/CD, build systems, deployment, observability) so engineers ship safely and quickly along golden paths instead of bespoke setups. • Bring AI-native capabilities into platform operations, integrating LLM and agent-based automation into infrastructure changes, security remediation, and developer workflows. • Partner with product, go-to-market, and engineering teams to bring our capabilities to market, shaping how the broader industry manages cloud, security, and tooling on top of Portal. • Set and enforce production-grade standards for reliability, performance, and cost-efficiency across services operating at Spotify scale. • Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems.

• Design end-to-end user experiences across Spotify's self-serve advertising platform (Ads Manager), contributing to features like ad creation, targeting, reporting, optimization, and measurement. • Work within and contribute to a shared design system used across Ads Manager and internal tools, with attention to component reusability, accessibility, and visual consistency. • Collaborate with engineers to translate backend systems, APIs, and ML-powered features into interfaces that are intuitive and performant. • Partner with PMs, engineers, data scientists, researchers, and content designers to shape product direction, advocate for user needs, and help influence your team's roadmap. • Build prototypes using real data and motion where relevant to explore technical constraints, validate interaction models, and communicate product behavior in dynamic, data-driven environments. • Work alongside researchers and data scientists to identify the right questions to answer, and use insights to deepen your team's understanding of user problems. • Support design efforts on internal tools used by operational teams, helping reduce manual processes and improve the efficiency and reliability of internal workflows. • Contribute to a feedback-rich team culture that values critique, iteration, and craft excellence.