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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in technical program management, particularly in leading large-scale machine learning and personalization initiatives. Proficient in orchestrating ML development workflows and fostering collaboration across cross-functional teams to drive successful program delivery.
Highest-signal resume keywords
Technical Program ManagementMachine Learning Development WorkflowsCross-Functional CollaborationProgram Metrics and ReportingRisk Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningData PlatformsModel TrainingExperimentationFeature EngineeringData PipelinesProduction InferenceProgram RoadmapsDependency MapsDelivery of Technical Programs
Soft Skills
Clear CommunicationRelationship BuildingInfluential LeadershipComfort with Ambiguity
Tools & Technologies
DashboardsReporting Tools
Industry Keywords
Personalization ModelsRecommendation SystemsCollaboration Across TeamsCapacity PlanningTechnical Trade-Off Decisions
About the role
Key responsibilities & impact- Lead end-to-end program management for large-scale ML and personalization initiatives
- Drive delivery of recommendation systems and personalization models used by listeners worldwide
- Own program roadmaps, milestones, dependency maps, and risk plans
- 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
- Establish program metrics, reporting rhythms, and dashboards for leadership visibility
- Communicate progress, risks, and decisions to leadership
- Improve collaboration and processes across the ML lifecycle
- Help bring machine learning and personalization work to life for Spotify's listeners
Requirements
What you’ll need- 8+ years of experience in technical program management
- Meaningful experience with ML, AI, data platforms, or similarly complex technical work
- Track record of delivering multi-team technical programs from early planning through production launch
- Understanding of ML development workflows, including model training, experimentation, feature engineering, data pipelines, and production inference
- Ability to build relationships with engineering and product leaders in distributed, cross-functional organizations
- Clear communication of technical work to engineers and executives
- Ability to lead through influence rather than authority
- Comfort with ambiguity and creating clarity across teams with different priorities and timelines
- US Eastern timezone availability for collaboration
Benefits
Comp & perks- Flexible work arrangement with flexibility to work from home
- Some in-person meetings
- Equal opportunity workplace
- Reasonable accommodations during the recruitment and interview process
