We9re looking for a Technical Program Manager to help bring some of our most meaningful machine learning and personalisation work to life. You9ll lead cross-functional programs that shape how hundreds of millions of listeners discover music, podcasts, and audiobooks. You9ll be the connective tissue between teams who turn billions of daily listening signals into recommendations that feel personal to every listener.
What You9ll Do- 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.
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 don9t 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.
- You9re 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.
Where You9ll Be- We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
- This team operates within the US Eastern timezone for collaboration
The United States base range for this position is $143,659-$179,574 USD, plus equity. The benefits available for this position include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave. These ranges may be modified in the future.
