Hiring: Director of Product Management, Ads Quality and Performance - Moloco Commerce Media Company: Moloco Location: Menlo Park, CA Job Posted Time: 2026-09-16 15:14:35 Target Skills & Keywords : Deep Learning, Embedded Systems, Machine Learning, User Experience About the job Experience: •10+ years in product management, with a track record of owning a domain end to end, from strategy through shipped, measured outcomes. You are ready to operate as the senior individual owner first, and you want to build and lead a team as the area grows. Required Skills: •Work across MCM's most technical teams: ML and applied science, bidding, and data science. Your job is turning frontier ML and bidding optimization capabilities into products that perform at commerce scale. •Own the ads quality and performance product roadmap, and deliver results. Translate advertiser and platform problems into ML, bidding, and quality problems. Decide what the system optimizes for and why, so the roadmap targets the business outcome rather than the metric that is easiest to move. •Ship performance controls that empower our customers. Turn manual, often one-off technical capabilities and implementations into scalable product solutions. •Make difficult trade-offs. Relevance against revenue. Advertiser value against platform yield. Short-term lift against long-term trust. These get debated and decided in your forum, with evidence. •Move complex problems across customer, technical, and organizational lines. In addition to closely partnering with our engineering teams, you will work directly with our customer-facing teams and engage our customers' data science and ad operations leaders. •10+ years in product management, with a track record of owning a domain end to end, from strategy through shipped, measured outcomes. You are ready to operate as the senior individual owner first, and you want to build and lead a team as the area grows. •Depth in ads quality, ML-driven ranking, bidding, or recommender systems. Large-scale ads ranking, adtech, and commerce search and recommendation are the most direct backgrounds. •Enough technical fluency to earn credibility with ML and data science teams: you help shape the problem framing and stakeholder translation, and contribute points of view on system direction and product implications. Qualifications: •PM with deep experience embedded in an ML, ranking, or recommendations team. •Commerce or marketplace advertising exposure, including familiarity with retrieval, auction mechanics, pacing, conquesting, and incrementality measurement. •Advanced degree in a quantitative or technical field. Compensation: •$248,000 - $310,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!