Liftoff is a machine-learning mobile app marketing platform using prediction intelligence, creative testing, and SDK-built user profiles to optimize acquisition and retention across RTBs, ad networks, publishers and social.
<div class="content-intro"><p><span style="font-weight: 400;">Liftoff</span><span style="font-weight: 400;"> 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.</span></p> <p><span style="font-weight: 400;">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.</span></p></div><div class="p" data-block="true" data-editor="30rf0" data-offset-key="637gr-0-0"> <div class="public-DraftStyleDefault-block public-DraftStyleDefault-ltr" data-offset-key="637gr-0-0"> <p>Liftoff is seeking a <strong>Director of Product Management, ML Platform</strong> 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.</p> <p>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.</p> <h2><strong>Key Responsibilities</strong></h2> <ul> <li>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.</li> <li>Lead, mentor, and develop two IC Product Managers</li> <li>Drive execution of major platform initiatives including batch processing infrastructure, infrastructure cost visibility and R&D strategy, and platform hardening for reliability and uptime.</li> <li>Partner closely with multiple ML teams to understand their constraints, dependencies, and requirements, translating them into actionable engineering specifications and prioritized roadmaps.</li> <li>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.</li> <li>Establish and monitor platform KPIs around reliability, cost efficiency, and model enablement, driving continuous improvement.</li> <li>Architect and evolve the product function for ML Platform, establishing practices, frameworks, and ways of working that scale with the team.</li> <li>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.</li> </ul> <h2><strong>Qualifications</strong></h2> <ul> <li>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.</li> <li>Proven experience as a player/coach: capable of setting strategic direction while remaining hands-on with technical specifications and day-to-day execution.</li> <li>Deep technical fluency in ML infrastructure concepts: model training pipelines, feature stores, batch and streaming data systems, and distributed computing.</li> <li>Strong stakeholder management skills — ability to gather, synthesize, and prioritize needs across multiple ML and engineering teams with competing priorities.</li> <li>Experience collaborating with Finance or business operations teams on infrastructure cost management.</li> <li>Excellent written and verbal communication skills; able to operate effectively across technical and non-technical audiences.</li> <li>Bachelor's degree in Computer Science, Engineering, or a related technical field. Master's preferred.</li> </ul> <h2><strong>Preferred Experience</strong></h2> <ul> <li>Experience architecting or significantly influencing the design of ML platform infrastructure.</li> <li>Familiarity with no-fault system design and high-availability production environments.</li> <li>Experience building or scaling a product management function within a technical domain.</li> </ul> </div> </div> <p><strong>Why Join Liftoff?</strong></p> <ul> <li><strong>Innovative Environment: </strong>Be part of a company at the forefront of mobile app marketing, utilizing cutting-edge technologies to drive results.</li> <li><strong>Professional Growth: </strong>Opportunities for continuous learning and career advancement in a dynamic industry.</li> <li><strong>Collaborative Culture: </strong>Work with a diverse team of talented professionals who are passionate about delivering excellence.</li> <li><strong>Comprehensive Benefits: </strong>Competitive salary, health benefits, and other perks to support your well-being.</li> </ul> <p><span data-offset-key="9sbmp-2-0"><span data-text="true"><em>Working at Liftoff is fast-paced, fun, and challenging, and we thrive on innovation. Come join the rocket ship and help shape the future of the mobile app ecosystem with us! </em></span></span></p> <hr> <p><strong>Location: </strong></p> <p>Liftoff follows a philosophy of "remote first, come together meaningfully" and allows employees to be based from a number of different states where we have entities within the United States (CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, OR, PA, TX, UT, and WA) or near one of our US hubs in Redwood City, Los Angeles or New York City.</p> <p><strong>Travel Expectations:<br></strong>We offer several opportunities