Director, Product Management – ML Platform

Key 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.

Qualifications

• 8+ years of experience in product management, with at least 3 years focused on ML infrastructure, backend systems, or data platform products and 2 years of management experience.
• Proven experience as a player/coach: capable of setting strategic direction while remaining hands-on with technical specifications and day-to-day execution.
• Deep technical fluency in ML infrastructure concepts: model training pipelines, feature stores, batch and streaming data systems, and distributed computing.
• Strong stakeholder management skills — ability to gather, synthesize, and prioritize needs across multiple ML and engineering teams with competing priorities.
• Experience collaborating with Finance or business operations teams on infrastructure cost management.
• Excellent written and verbal communication skills; able to operate effectively across technical and non-technical audiences.
• Bachelor's degree in Computer Science, Engineering, or a related technical field. Master's preferred.

Preferred Experience

• Experience architecting or significantly influencing the design of ML platform infrastructure.
• Familiarity with no-fault system design and high-availability production environments.
• Experience building or scaling a product management function within a technical domain.

Compensation

Base salary ranges:

• SF Bay Area/Los Angeles/Orange County/Seattle: $260,000 to $320,000
• All other locations in approved states: $239,000 to $294,000

Includes equity and health/vision/dental benefits.