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  3. /Staff Technical Product Manager, Ads ML Platform
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Staff Technical Product Manager, Ads ML Platform

Reddit, Inc. · United States · Just now · 0 applicants
NewRemoteFull-timeLead
Pay
$217k–$304kListed
Workplace
Remote
Job type
Full-time
Level
Lead
Team: Ads ML Platform · Source: jobright · Posted by joined-scrapper

About the role

Reddit seeks a Staff Technical Product Manager to own the vision and roadmap for its Ads ML Platform, enabling ML engineers and data scientists to train, deploy, and iterate on models efficiently. The role focuses on platform reliability, cross-functional execution, and applying emerging ML and generative AI technologies to advertising products.

What you’ll do

  • Own the vision, roadmap, infrastructure, and tooling for the Ads ML Platform
  • Enable machine learning engineers and data scientists to train, deploy, and iterate on models more efficiently
  • Lead cross-functional execution
  • Improve platform reliability and productivity
  • Apply emerging ML and generative AI technologies to Reddit's advertising products

What you’ll need

  • 7+ years of product management experience with internal technical products, developer tools, data/ML platforms, or ads/content ranking
  • Deeply analytical and technical; comfortable with complex data systems and the ML lifecycle (training, inference, deployment, monitoring)
  • Genuine passion for ML/AI; stays current on research, trends, architectures, and capabilities
  • Exceptional problem-solving, translating technical constraints such as GPU scheduling and latency budgets into product roadmaps
  • Strong communication skills between technical requirements and business stakeholders
  • Prior experience as a Machine Learning Engineer, Data Scientist, or Backend Software Engineer; understanding of the Ad Tech ecosystem (bidding, ranking, targeting)

Original job description

Reddit is a community of communities built around shared interests, passion, and trust. The Staff Product Manager will own the vision, roadmap, infrastructure, and tooling for the Ads ML Platform, enabling machine learning engineers and data scientists to train, deploy, and iterate on models more efficiently. The role will lead cross-functional execution,…

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