Director, Product Management – ML Platform
New
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LiftoffMobile App Economy
Full-time remote with the United States or near one of our US hubs in Redwood City, Los Angeles or New York CityFull-TimeDirector
Salary239000 - 320000 USD per year
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Job Details
- Experience
- 8+ years
Requirements
- 8+ years of experience in product management
- At least 3 years focused on ML infrastructure, backend systems, or data platform products
- 2 years of management experience
- Proven experience as a player/coach
- Deep technical fluency in ML infrastructure concepts: model training pipelines, feature stores, batch and streaming data systems, and distributed computing
- Strong stakeholder management skills
- Experience collaborating with Finance or business operations teams on infrastructure cost management
- Excellent written and verbal communication skills
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Master's preferred
- Experience architecting or significantly influencing the design of ML platform infrastructure (preferred)
- Familiarity with no-fault system design and high-availability production environments (preferred)
- Experience building or scaling a product management function within a technical domain (preferred)
Responsibilities
- Own the holistic product strategy, vision, and roadmap for the ML Platform, including backend infrastructure required to run ML models at scale and support new model iterations
- Lead, mentor, and develop two IC Product Managers
- Drive execution of major platform initiatives including batch processing infrastructure, infrastructure cost visibility and R&D strategy, and platform hardening for reliability and uptime
- Partner closely with multiple ML teams to understand their constraints, dependencies, and requirements, translating them into actionable engineering specifications and prioritized roadmaps
- Collaborate cross-functionally with Finance to set and track infrastructure cost targets, and with Product Managers across adjacent areas to align on shared platform needs
- Establish and monitor platform KPIs around reliability, cost efficiency, and model enablement, driving continuous improvement
- Architect and evolve the product function for ML Platform, establishing practices, frameworks, and ways of working that scale with the team
- Serve as the primary product stakeholder voice for no-fault systems and new model type support, ensuring the platform meets the demands of next-generation ML development
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