• Own the design, reliability, scalability, and security of the platform infrastructure supporting production Agentic AI systems. • Bring an informed perspective and implement best practices around identity and access controls • Establish clear patterns for service design, deployment, and inter-service communication. • Own system observability (logging, metrics, tracing) and operational readiness. • Set technical direction for infrastructure components written in Rust, ensuring performance, safety, and maintainability. • Collaborate with go-to-market teams to align roadmap with business goals. • Recruit, mentor, and retain high-performing engineers, fostering a culture of innovation and collaboration. • Leverage passion for agentic AI and enterprise nuances to deliver solutions that enhance user experience.

• Lead multiple engineering teams, owning delivery, technical direction, effectiveness, and overall performance. • Be accountable for performance management outcomes across teams, ensuring consistent feedback, clear expectations, and strong manager and IC development. • Drive technical and operational strategy across squads, optimizing for system level outcomes rather than individual team success. • Partner with product, design, and other stakeholders to define cross team goals, roadmaps, sequencing, and measures of success. • Coach Engineering Managers and ICs, holding them accountable for results and people leadership. • Create clarity in ambiguous environments and stabilize or improve teams facing delivery, technical, or organizational challenges. • Lead complex, cross team initiatives with strong planning around capacity, sequencing, and tradeoffs. • Establish and track metrics to measure progress, using data to inform decisions and continuously improve team effectiveness. • Maintain high standards for technical quality and reliability, ensuring cohesion of technical direction across teams. • Engage in the end-to-end recruiting process, hiring, and on-boarding engineering talent to help grow the team and broader engineering organization.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're looking for an Engineering Manager to join the Native Ads team in the Music Mission. In Native Ads, we build consumer and industry-facing music promotion products which provide creators new avenues for promoting their work, reaching new audiences, and deepening their connections with fans. You will play an integral role in shaping the future of Native Ads products, technology, and business, and represent Native Ads in the continuously evolving Coordinated Promotions ecosystem by collaborating with key partners in Personalization and Amplify. As the Engineering Manager for the Optimyst Squad, you will solve complex problems surrounding: - Forecasting campaign budgets - Targeting optimization - Observability into campaign delivery systems Your goal will be to improve overall supply and campaign performance and develop solutions to provide engaging music experiences for 350+ million active users using user behaviors and contextual information on mobile and connected platforms. Above all, your work will impact the way the world experiences music and the way creators connect to their fans! Qualifications - Demonstrable success in engineering management, with several years of experience leading and growing engineers - Strong background in statistics/ML/AI technologies and their application to consumer products - Invested in balancing developing thriving engineers and helping teams achieve significant business impact - Thrive in ambiguity, balancing tech health with speed of impact and learning - Strong product intuition to efficiently connect the dots between multiple systems at Spotify - Experience or strong interest in emerging agent technologies and generative recommender systems - Aim to build capabilities that deliver a great, safe, and trusted experience to customers and Spotify users - Understanding of the challenges of deploying and monitoring models in production - Ability to translate product metrics into model improvement strategies - A plus if you have some knowledge of Ads systems Requirements - Lead the team to enhance current Native Ads product performance by experimenting with current and new ML models - Participate in and challenge your team's systems architecture and modeling approaches - Grow the technical expertise of your team through technical leadership and advocating for sound practices - Identify, advocate for, and lead critical initiatives to advance technical and product performance in Native Ads - Manage a team of ML, DE, BE, and Web engineers to develop, maintain, and own business-critical models - Collaborate with a multi-functional, agile team to build new product features - Foster a healthy, collaborative, and productive engineering team - Develop the team’s resilience amid fast change and ambiguity - Grow people and the team through hiring, coaching, mentoring, feedback, and continuous improvement efforts Benefits - Flexibility to work where you work best - In-person meetings with flexibility to work from home - United States base range for this position is $164,448 - $234,926 plus equity - Health insurance - Six-month paid parental leave - 401(k) retirement plan - Monthly meal allowance - 23 paid days off - 13 paid flexible holidays - Paid sick leave

• Own the technical roadmap and make sure every engineering effort maps directly to business impact. • Lead and grow an engineering team that ships fast, iterates constantly, and treats complexity as a cost. • Tackle the hard, multi-layered problem: automated vetting, intelligent matching at scale, demand-side bottlenecks. • Make hard prioritization calls. Decide what we build, what we skip, and what we kill. • Work directly with the founder and product team to define what success looks like before writing a single line of code. • Build the engineering culture: high ownership, high speed, low bureaucracy.