Director, Product Management – ML Platform

Liftoff

2h•Hybrid

About The Position

Liftoff is a leading AI-powered performance marketing platform for the mobile app economy, helping app marketers acquire and retain high-value users and enabling publishers to maximize revenue. With solutions like Accelerate, Direct, Monetize, Intelligence, and Vungle Exchange, Liftoff supports over 6,600 mobile businesses across 74 countries. Founded in 2012 and headquartered in Redwood City, CA, Liftoff has a diverse, global presence. The company is seeking a Director of Product Management, ML Platform to own the product strategy and execution for its machine learning infrastructure. This is a senior, hands-on leadership role that requires a deeply technical individual with experience driving ML infrastructure product strategy at scale. The successful candidate will balance short-term cross-functional support with longer-term generational upgrades, thrive in fast-paced environments, translate complex ML constraints into prioritized roadmaps, work closely with internal stakeholders, and build a strong performing team. The role also involves serving as a player/coach, driving the ML Platform product vision while mentoring and developing two Product Managers.

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.

Nice To Haves

Master's preferred.
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.

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.