Senior Technical Program Manager

Responsibilities

• 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.

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