Note: The job is a remote job and is open to candidates in USA. Liftoff Mobile is a leading AI-powered performance marketing platform for the mobile app economy. They are seeking a Director of Product Management, ML Platform to own the product strategy and execution for their machine learning infrastructure, leading a team of Product Managers and driving major platform initiatives.
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
Skills
- 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
- 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
Benefits
- Equity
- Health/vision/dental benefits associated with your country of residence
- Medical coverage
- Wellness stipends
- Opportunities for continuous learning and career advancement
- Fast-paced, collaborative, and innovative work environment
- Opportunities for in-person team gatherings at least once per quarter
Company Overview
Company H1B Sponsorship