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About the Role

As Group Product Manager, IAP Advertising Performance, you will own the product strategy and execution for systems that help advertisers acquire high-value users and drive in-app purchase outcomes at scale. You will lead the evolution of CARA domains including Ad Recommendations, Bidding, Signals, and Campaign Automation, partnering with cross-functional teams to deliver measurable improvements in advertiser outcomes.

Responsibilities

Define the vision, strategy, and multi-year roadmap for IAP advertising performance across Ad Recommendations, Bidding, Signals, and Campaign Automation.
Own the product strategy for improving IAP outcomes across Android and iOS, with a particular focus on gaming and other high-value app categories.
Establish a systematic performance-management program: identify the highest-impact opportunities, maintain a prioritized backlog, define success metrics, and drive issues through resolution.
Lead the evolution of Moloco’s bidding control tower, including bid optimization, auction strategy, budget allocation, pacing, value optimization, and performance monitoring.
Translate advances in machine learning, data, and platform infrastructure into product capabilities that improve advertiser scale, return on ad spend, cost per acquisition, and downstream user value.
Define how signals from advertiser conversion events, mobile measurement partners, publisher interactions, SDK activity, and bid requests should be collected, evaluated, enriched, and used across the system.
Partner with the UA SDK and signal-engineering teams to expand the quality, coverage, and timeliness of signals available to IAP models.
Shape recommendation systems that estimate user intent, conversion probability, and advertiser value in real time, including in sparse-signal and cold-start environments.
Define how campaign automation should help advertisers select objectives, configure campaigns, identify optimization opportunities, and act on performance insights.
Harmonize product choices across optimization objectives and measurement approaches, including event-based optimization, predicted lifetime value, SKAN, value multipliers, and related performance controls.
Design measurement frameworks and experimentation strategies that distinguish local model gains from durable improvements in advertiser and business outcomes.
Partner with Data Science, Machine Learning, and Engineering leaders to evaluate model quality, diagnose performance gaps, and make disciplined trade-offs between short-term wins and structural improvements.
Align Product, Engineering, Science, Operations, and Go-to-Market teams around priorities, launch plans, operating mechanisms, and customer feedback loops.
Communicate strategy and progress clearly to senior leadership, creating conviction around investment decisions and ensuring accountability for results.

Requirements

10+ years of experience, including significant product-management experience in ad tech, machine learning, marketplaces, optimization systems, or another technically complex domain.
Owned products end to end, from strategy and problem definition through roadmap, execution, launch, and measurable business impact.
Track record of turning complex ML, data, or platform capabilities into customer and business outcomes.
Ability to reason deeply about performance systems, experimentation, metrics, and trade-offs in environments with noisy, incomplete, or probabilistic data.
Comfortable partnering closely with Engineering, Machine Learning, Data Science, and infrastructure teams on highly technical products.
Ability to move between executive-level strategy and implementation-level detail, creating clarity without losing sight of the underlying system.
Strong product judgment and prioritization skills, with the ability to identify the few investments most likely to create durable performance gains.
Experience leading cross-functional initiatives that required alignment across multiple teams, competing priorities, and a globally distributed organization.
Clear communication skills and ability to build conviction with senior leaders, technical partners, and customer-facing teams.
Energized by ambiguous problem spaces and comfortable learning quickly, forming hypotheses, and refining strategy through evidence.
Care about customer outcomes and can connect platform and model investments to the workflows, goals, and economics of advertisers.

Skills

Ad tech
Machine learning
Marketplaces
Optimization systems
Product strategy
Roadmap development
Performance management
Bidding control tower
Bid optimization
Auction strategy
Budget allocation
Pacing
Value optimization
Performance monitoring
Machine learning translation
Data translation
Platform infrastructure translation
Signal collection
Signal evaluation
Signal enrichment
Recommendation systems
Campaign automation
Optimization objectives
Measurement approaches
Event-based optimization
Predicted lifetime value
SKAN
Value multipliers
Measurement frameworks
Experimentation strategies
Model quality evaluation
Performance gap diagnosis
Cross-functional leadership
Communication
Prioritization
Mobile advertising
In-app purchase economics
Gaming
DSPs
Ad exchanges
Real-time bidding
Bidding products
Recommendation products
Campaign-automation products
Identity products
Signal products
Measurement products
Optimization products
Value-based bidding
Mobile measurement ecosystems
Platform capabilities
Advertiser-facing workflows
SDK-based products
Publisher integrations
Signal collection systems
Signal quality systems

Location

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

Work Type

Onsite
Remote
Hybrid

Experience Level

10+ years of experience

Education Level

MBA
Degree in Computer Science
Degree in Statistics
Degree in Engineering
Related technical or analytical field

Salary/Compensations

$211,200—$264,000 USD
$190,000—$237,500 USD
$179,600—$224,500 USD

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

About the Company

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.

Equal Opportunity

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.