Director, Product Management – ML Platform

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. They are seeking a Director of Product Management for the ML Platform to lead the product strategy and execution for their machine learning infrastructure, while mentoring a team of Product Managers.

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

Requirements:

• 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
• 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