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Moloco
Moloco

Group Product Manager (IAP Advertising Performance)

Job summary
Permanent contract
Menlo Park, CA, New York…
Salary: $179.6K to 264K
Experience: > 7 years
Skills & expertise
Continuous improvement
Cross-functional team leadership
Communication skills
Performance management
Android
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Moloco
Moloco

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Questions and answers about the job

The position

Job description

  • As Group Product Manager, IAP Advertising Performance, you will own the product strategy and execution for the systems that help advertisers acquire high-value users and drive in-app purchase outcomes at scale
  • You will lead the evolution of the CARA domains that most directly determine IAP performance: Ad Recommendations, Bidding, Signals, and Campaign Automation. These capabilities work as a compound system: signals improve recommendations, recommendations sharpen bid economics, bidding generates richer outcome data, and campaign automation helps advertisers act on those insights
  • This is a high-impact role at the center of Moloco Ads’ largest business. You will partner with Engineering, Machine Learning, Data Science, Product, and Go-to-Market teams to turn advances in models, data, and platform infrastructure into measurable improvements in advertiser outcomes
  • Moloco’s CARA AI powering IAP advertising, our largest business, is one of the most technically demanding product areas in performance advertising
  • Every impression requires real-time decisions about user intent, conversion probability, creative fit, auction economics, budget pacing, and the quality of available signals
  • Many of the most valuable user, app, and conversion combinations are sparse or have never been observed before
  • You will bring product leadership to this system-level challenge
  • You will define where Moloco should invest, create a durable performance roadmap, and ensure that work across bidding, recommendation, signal engineering, and campaign automation compounds into better results for advertisers
  • Strategy and vision for the future of IAP advertising performance
  • Deep partnership with engineering and machine learning on technically complex systems
  • Rigorous prioritization across data, models, platform capabilities, and advertiser experiences
  • End-to-end accountability for measurable business outcomes
  • Cross-functional leadership across a broad, globally distributed organization
  • 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
  • What success looks like:
  • In the first 90 days, you will:
  • Build a detailed understanding of IAP performance, the current bidding control tower, and the highest-impact opportunities across Android and iOS
  • Establish strong working relationships with Engineering, Machine Learning, Data Science, UA SDK, and Go-to-Market partners
  • Create a shared view of the performance backlog, key metrics, dependencies, and decision forums
  • Identify and drive a focused set of near-term improvements while defining the longer-term product strategy
  • Over time, you will:
  • Make IAP performance improvement a systematic, measurable, and continuously operating product discipline
  • Deliver structural gains in advertiser performance through better recommendations, bidding, signal utilization, and campaign automation
  • Create a coherent product experience in which advertisers can express their business objectives and Moloco can optimize toward the outcomes that matter most
  • Help make every campaign generate better data and every new signal improve the performance of the broader CARA system

Preferred experience

  • You are energized by ambiguous problem spaces and are comfortable learning quickly, forming hypotheses, and refining strategy through evidence
  • You have strong product judgment and prioritization skills, with the ability to identify the few investments most likely to create durable performance gains
  • You have a track record of turning complex ML, data, or platform capabilities into customer and business outcomes
  • An MBA, degree in Computer Science, Statistics, Engineering, or a related technical or analytical field
  • You have owned products end to end, from strategy and problem definition through roadmap, execution, launch, and measurable business impact
  • You care about customer outcomes and can connect platform and model investments to the workflows, goals, and economics of advertisers
  • You are comfortable partnering closely with Engineering, Machine Learning, Data Science, and infrastructure teams on highly technical products
  • Experience with predicted lifetime value, event-based optimization, SKAN, value-based bidding, or mobile measurement ecosystems
  • Experience with mobile advertising, in-app purchase or app-growth economics, gaming, DSPs, ad exchanges, or real-time bidding
  • You have 10+ years of experience, including significant product-management experience in ad tech, machine learning, marketplaces, optimization systems, or another technically complex domain
  • You can move between executive-level strategy and implementation-level detail, creating clarity without losing sight of the underlying system
  • You have led cross-functional initiatives that required alignment across multiple teams, competing priorities, and a globally distributed organization
  • You communicate clearly and can build conviction with senior leaders, technical partners, and customer-facing teams
  • Experience building bidding, recommendation, campaign-automation, identity, signal, measurement, or optimization products
  • Experience leading products that span both platform capabilities and advertiser-facing workflows
  • You can reason deeply about performance systems, experimentation, metrics, and trade-offs in environments with noisy, incomplete, or probabilistic data
  • Experience with SDK-based products, publisher integrations, or signal collection and quality systems

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