About Moloco:
Moloco is an AI-native performance advertising company, bringing the power of AI advertising to the open internet. Founded in 2013 by machine learning engineers who had built AI advertising systems inside the world's largest technology companies, Moloco began from a shared mission: to build that same engine for the open internet.
Today, Moloco is one company with two businesses, built on the same compound AI system. Moloco Ads is our AI-native performance advertising platform, helping mobile app marketers acquire, retain, and re-engage high-value users across the open internet. Moloco Commerce Media is our AI-native retail media platform, enabling retailers and marketplaces to turn their platforms into thriving ad businesses. Both are powered by CARA (Compound Ad Recommendation Architecture), the AI system behind every Moloco product.
At Moloco, we bring together those who've already solved hard problems and those with the drive to. Here, we work on some of the complex problems in AI advertising, at a scale and level of sophistication very few companies can offer. Come build what's next.
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 USDSupporting Your Best Work and Your Best Life:
Our benefits are designed to support our people in doing their best work and living well, at work and beyond. Benefits vary by country, employment type, and eligibility. Connect with a recruiter to learn more about benefits in your region.
Moloco Values:
- Lead with Humility: Everyone’s voice is respected, valued, and heard. 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 intensity and rigor. 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 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.
이 공고 인용: JOBnaru™ — https://jobnaru.com/jobs/director-of-product-management-ads-quality-and-performance-moloco-commerce-media · 게시일 2026-08-04 · 원문 공고: job-boards.greenhouse.io