Top Tech Jobs & Startup Jobs

Own and grow a strategic advertiser portfolio for Spotify Advertising. Build executive-level client relationships, develop consultative account strategies, identify new business, expand existing revenue, and deliver campaign insights and optimization recommendations. Manage sales pipelines, forecasting, revenue targets, and cross-functional collaboration with planning, marketing, product, measurement, data, and client services teams. The role is based in São Paulo with hybrid in-person attendance two to three times weekly.

Own the technical infrastructure supporting Spotify’s revenue growth programs. Build and maintain dbt models, BigQuery pipelines, dashboards, reports, and LLM-enabled data workflows. Monitor pipeline health, resolve data issues with engineering and Insights teams, and translate sales needs into reliable data products that improve prioritization, outreach, and advertiser growth.

Lead product vision and strategy for Spotify’s books, podcasts, and music formats. Define end-to-end consumer experiences spanning discovery, engagement, library management, and retention. Partner with business, engineering, design, data, and personalization teams to drive scalable cross-format innovation, experimentation, and growth. Align senior stakeholders, lead multiple initiatives, mentor product managers, and elevate product craft.

Manage and optimize global performance marketing campaigns across Google Search, paid social, app campaigns, and Apple Search Ads. Responsibilities include campaign trafficking, QA, launches, budget pacing, billing reconciliation, A/B testing, incrementality testing, reporting, and vendor management. The role partners with analytics, strategy, platforms, and agencies to improve acquisition and conversion performance.

Manage original and licensed content deals from commercial terms through contract execution and close. Coordinate with Legal, Finance, Studios, Advertising, Partnerships, and external rights holders; review agreements, track deal progress, prepare term sheets and approval materials, evaluate opportunities through financial modeling, monitor budgets, and communicate commercial insights and next steps.

Manage client partnerships and consultative sales for Spotify’s advertising business in the German/DACH market. Responsibilities include developing sales pipelines, crafting proposals, achieving revenue targets, analyzing campaign performance, identifying cross-selling opportunities, and collaborating with Product, Marketing, and Data teams. The role is London-based with hybrid work and periodic travel to Germany.

Own Spotify Premium growth in India by developing culturally relevant, artist-led, and partner-led initiatives that increase consideration and conversion. Lead fandom experiences, partnerships, activations, business cases, experimentation, and performance measurement. Collaborate cross-functionally with Music, Marketing, Partnerships, Product, and other teams while using audience insights and AI-driven workflows to improve execution and scale successful growth strategies.

Lead and coach a team of 10+ senior and Staff machine learning engineers focused on audio, video, and text content understanding. Set technical strategy, guide modeling and retrieval decisions, deliver high-priority cross-functional initiatives, and contribute hands-on as needed. Shape long-term audio understanding expertise, promote practical AI use in engineering workflows, and partner with product, design, research, and engineering leaders.

Manage talent bookings across a podcast network, partnering with hosts and producers to identify, pitch, and secure compelling guests. Develop guest strategies aligned with audience interests and editorial priorities, support show teams with preparation and communication, and build relationships with talent, agents, managers, publicists, studios, and networks. Use audience insights, performance data, and editorial judgment to guide decisions while coordinating sensitive, fast-moving opportunities.

Build and operate Spotify’s lakehouse and BigQuery platforms at scale. Develop backend services supporting Apache Iceberg, migrate pipelines, manage BigQuery capacity, create monitoring and tooling, and troubleshoot production issues across storage, Kubernetes, IAM, and processing systems. Participate in support and on-call rotations while improving reliability, cost efficiency, and user enablement across global teams.