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Product Manager, ML Auction

Remote / Online - Candidates ideally in
Redwood City, San Mateo County, California, 94061, USA
Listing for: Liftoff Mobile
Full Time, Remote/Work from Home position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Staff Product Manager, ML Auction

Join to apply for the Staff Product Manager, ML Auction role at Liftoff Mobile
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Overview

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.

We are looking for a seasoned Product Manager with a solid foundation in machine learning (ML) to spearhead the development and optimization of our Supply-Side Platform (SSP). The ideal candidate will leverage deep ML expertise to enhance the supply ecosystem and auction dynamics. This role requires an initiative-taking individual who can collaborate with various teams and translate complex ML concepts for senior managers.

They will contribute to developing the SSP strategy.

Key Responsibilities
  • SSP Strategy & Development:
    Define and execute the product roadmap for Liftoff's Yield SSP, ensuring alignment with company objectives and market needs.
  • Auction Dynamics Optimization:
    Analyze and enhance auction mechanisms to maximize yield and efficiency for our partners and clients.
  • Machine Learning Integration:
    Collaborate with Machine Learning Engineers to incorporate sophisticated ML models into the SSP. These models will enhance ad targeting, bidding strategies, and the platform's overall efficiency.
  • Cross-Functional Collaboration:

    Work alongside engineering, data science, sales, and marketing teams to ensure seamless product development and deployment.
  • Stakeholder Communication:
    Communicate product vision, progress, and technical details to both technical teams and non-technical senior leadership, translating complex ML and technical concepts into clear business insights.
  • Market Analysis:
    Stay abreast of industry trends, competitor offerings, and emerging technologies to inform product strategy and maintain a competitive edge.
  • Performance Monitoring:
    Define key goals (KPIs) and regularly review data to track product performance. Adjust strategies as necessary to meet business objectives.
Requirements
  • Educational Background: 8 years related experience with a Bachelor's; 6 years with a Master's degree in Computer Science, Engineering, Business, or a related field.
  • Industry

    Experience:

    Minimum of 5 years in product management roles, with at least 2 years of experience in hands-on machine learning or data science.
  • Machine Learning Proficiency:
    Solid comprehension of ML concepts and experience collaborating with MLEs to integrate ML solutions into products.
  • Analytical

    Skills:

    Strong data analysis capabilities with a track record of making data-driven product decisions.
  • Communication

    Skills:

    Great at making complex technical concepts understandable to everyone, including top managers and non-technical individuals.
  • Leadership &

    Collaboration:

    Takes charge in teams made up of different roles. Actively works to solve problems and oversees projects.
Nice to have
  • Previous Data Scientist experience.
  • One year focused on supply-side platforms, programmatic advertising, or related fields.
  • Auction Dynamics Expertise:
    Proven experience in designing, analyzing, and optimizing auction-based systems within digital advertising ecosystems.
Location and Travel

This role is eligible for full-time remote work in California or near one of our US hubs in Redwood City or Los Angeles. This position is located in the Pacific Time Zone.

Travel Expectations:
We offer several opportunities for in-person team gatherings, including project meetings, regional meetups, and company-wide events. We expect our employees to attend these gatherings at least once per quarter. This position will require travel at least once per quarter to Beijing to work with the ML team.

Compensation

Liftoff offers all employees a full compensation package that includes equity and health/vision/dental benefits associated…

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