Director, Product Management – ML Platform

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy. Our end-to-end technology stack helps app marketers acquire and retain high-value users, while enabling publishers to maximize revenue across programmatic and direct demand. Liftoff’s solutions, including Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, support over 6,600 mobile businesses across 74 countries in sectors such as gaming, social, finance, ecommerce, and entertainment. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. Liftoff is seeking a Director of Product Management, ML Platform to holistically own the product strategy and execution for our machine learning infrastructure. This is a senior, hands-on leadership role at the intersection of deeply technical backend infrastructure and strategic product ownership. You will serve as a player/coach — driving the ML Platform product vision while directly mentoring and developing two PMs on your team. The ideal candidate is deeply technical, has experience driving the product strategy of ML infrastructure at scale and able to balance short-term cross-functional support needs with longer-term generational upgrades. You thrive in fast paced environments, can translate complex ML constraints into prioritized roadmaps, work closely with internal stakeholders, and know how to build a strong performing team. 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.