Senior Technical Program Manager

Who you are

• You have 8+ years of experience in technical program management, including meaningful time on ML, AI, data platforms, or similarly complex technical work
• You have a track record of delivering multi-team technical programs from early planning through production launch, and you hold yourself accountable for results
• You understand ML development workflows such as model training, experimentation, feature engineering, data pipelines, and production inference. You don't need to be an ML engineer yourself
• You build trusted relationships with engineering and product leaders, especially in distributed, cross-functional organizations
• You communicate clearly and can turn technical work into stories that make sense to everyone from engineers to executives
• You're comfortable with ambiguity and create clarity that helps teams with different priorities and timelines find a shared path forward
• You lead through influence rather than authority, and you care about the people and teams you work with
• You enjoy helping others grow and bring curiosity and openness to how programs can run better

What the job involves

• We're looking for a Technical Program Manager to help bring some of our most meaningful machine learning and personalisation work to life
• You'll lead cross-functional programs that shape how hundreds of millions of listeners discover music, podcasts, and audiobooks
• You'll be the connective tissue between teams who turn billions of daily listening signals into recommendations that feel personal to every listener
• Lead end-to-end program management for large-scale ML and personalization initiatives, bringing together engineering, data science, product, and design
• Drive the delivery of recommendation systems and personalization models used by listeners around the world, with clear accountability for outcomes
• Own program roadmaps, milestones, dependency maps, and risk plans, identifying risks early and working with teams to resolve them before they become blockers
• 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 so everyone is working toward the same goals
• Set up program metrics, reporting rhythms, and dashboards that give leadership clear visibility into progress, risks, and decisions
• Keep leadership well-informed with no surprises through clear, data-informed communication, and help improve how teams work across the ML lifecycle
• This team operates within the US Eastern timezone for collaboration

Benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse
• Flexible share incentives letting you choose how you share in our success
• Global parental leave, six months off - fully paid - for all new parents
• All The Feels, our employee assistance program and self-care hub
• Flexible public holidays, swap days off according to your values and beliefs