About The Position

Moloco Commerce Media (MCM) is where Moloco's AI-native capabilities are applied to the commerce sector, enabling retailers and marketplaces to build revenue-generating ad businesses. This role focuses on the critical area of ad quality and performance, which includes relevance, ranking, bidding, and measurement. The goal is to help customers overcome limitations imposed by weak relevance, blunt targeting, and unclear attribution. The Director will set the strategy for this domain, working closely with ML, bidding, and data science teams to define best-in-class solutions for commerce advertising. This is a senior individual contributor role initially, with the potential to build and lead a team as the domain grows. The position reports to the Head of Product, Moloco Commerce Media.

Requirements

  • 10+ years in product management, with a track record of owning a domain end to end, from strategy through shipped, measured outcomes.
  • Ready to operate as the senior individual owner first, and 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: help shape the problem framing and stakeholder translation, and contribute points of view on system direction and product implications.
  • Rigor on measurement. Ability to define outcome metrics and keep proxy metrics from quietly becoming the goal.
  • Executive communication and the standing to move senior stakeholders across product, engineering, and customer teams.

Nice To Haves

  • 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.

Responsibilities

  • 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, such as relevance against revenue, advertiser value against platform yield, and short-term lift against long-term trust.
  • Move complex problems across customer, technical, and organizational lines.
  • Work directly with customer-facing teams and engage customers' data science and ad operations leaders.
  • Learn how AI and advanced modeling deliver relevant, high-performing commerce ads for the largest retailers in the world.
  • Understand how to build state-of-the-art commerce models alongside retailers and prove them against live demand.
  • Identify how new technology can retire ad business growth constraints that the legacy ad stack couldn't break through.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • 401(k) plan with company match
  • Short-term disability coverage
  • Long-term disability coverage
  • Basic life insurance
  • Well-being benefits and perks
  • Up to 12 scheduled paid holidays per calendar year
  • One Thrive Day off per quarter
  • Flexible Time Off (FTO)
  • Bonus eligibility
  • Equity awards
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