Director of Product Management, Ads Quality and Performance - Moloco Commerce Media

moloco

Menlo Park, California, United States · Menlo Park · United States

Posted Aug 4, 2026

Other
MCM Product

Apply on company site

Job description

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media enables retailers and marketplaces to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

About the Role

Moloco is an AI-native company. We built our reputation on outcome-based advertising powered by deep learning, and we are now democratizing that capability for commerce: putting the same caliber of ML that the largest technology companies built for themselves into the hands of retailers, marketplaces, and commerce platforms. Moloco Commerce Media (MCM) is where that happens. Some of the world's largest commerce platforms run their advertising business on MCM, using our AI to improve what shoppers see and grow their ad revenue at the same time.

Retail media is the fastest-growing channel in advertising, and most retailers still compete on ad load and CPC floors. We think the frontier problem is somewhere else. Ad quality and performance, meaning relevance, ranking, bidding, and measurement, is what actually decides whether an ad works. Getting it right means reasoning about shopper intent, item relevance, and advertiser economics simultaneously, across billions of decisions a day. It is a hard AI problem, and it is largely unsolved across this industry.

As Director of Product Management for Ads Quality and Performance, you set the strategy for the domain and are accountable for what it delivers: our customers' ad businesses growing past the ceiling that weak relevance, blunt targeting, and unclear attribution impose on them. You will work alongside our ML, bidding, and data science teams, hold the whole picture across retrieval, scoring, bidding, pacing, and measurement, and define what best-in-class looks like in commerce. You will start as the senior individual owner of this domain, with the mandate and the support to build a team around it as the work scales. This role reports to the Head of Product, Moloco Commerce Media.

What You Will Do

You will 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.
Learn how AI and advanced modeling deliver relevant, high-performing commerce ads for the largest retailers in the world. What it takes to build state-of-the-art commerce models alongside the retailers themselves, and prove them against live demand. How a breakthrough for one retailer becomes a capability every retailer can deploy. Where new technology retires ad business growth constraints the legacy ad stack couldn’t break through.

What You Will Bring

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.
Rigor on measurement. You can 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.

Preferred 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 & Benefits

U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).

The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.

The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.

Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
Region C: All other U.S. locations

Salary Ranges:

Region A:

$248,000—$310,000 USD

Region B:

$235,600—$294,500 USD

Region C:

$223,200—$279,000 USD

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

AI Use in Interviews

Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.