{"id":3110142,"url":"https://alion.io/job/moloco-group-product-manager-iap-advertising-performance","title":"Group Product Manager, IAP Advertising Performance","company":{"id":179758,"name":"Moloco","domain":"moloco.com","url":"https://alion.io/company/moloco","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":9,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":145,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Product","role_family":"Product","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Menlo Park, United States","New York, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":211200,"max":264000,"currency":"USD","period":"year","gross":null,"usd_annual":264000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-10-22T19:18:29Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-29T13:10:00Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"About Moloco:\nMoloco 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.\nToday, 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.\nAt 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.\nThe impact you’ll contribute to Moloco\nAs 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.\nYou 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.\nThis 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.\nThe opportunity\nMoloco’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.\nYou 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.\nThe role combines:\nStrategy and vision for the future of IAP advertising performance\nDeep partnership with engineering and machine learning on technically complex systems\nRigorous prioritization across data, models, platform capabilities, and advertiser experiences\nEnd-to-end accountability for measurable business outcomes\nCross-functional leadership across a broad, globally distributed organization\nWhat you will do\nDefine the vision, strategy, and multi-year roadmap for IAP advertising performance across Ad Recommendations, Bidding, Signals, and Campaign Automation.\nOwn the product strategy for improving IAP outcomes across Android and iOS, with a particular focus on gaming and other high-value app categories.\nEstablish a systematic performance-management program: identify the highest-impact opportunities, maintain a prioritized backlog, define success metrics, and drive issues through resolution.\nLead the evolution of Moloco’s bidding control tower, including bid optimization, auction strategy, budget allocation, pacing, value optimization, and performance monitoring.\nTranslate 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.\nDefine 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.\nPartner with the UA SDK and signal-engineering teams to expand the quality, coverage, and timeliness of signals available to IAP models.\nShape recommendation systems that estimate user intent, conversion probability, and advertiser value in real time, including in sparse-signal and cold-start environments.\nDefine how campaign automation should help advertisers select objectives, configure campaigns, identify optimization opportunities, and act on performance insights.\nHarmonize product choices across optimization objectives and measurement approaches, including event-based optimization, predicted lifetime value, SKAN, value multipliers, and related performance controls.\nDesign measurement frameworks and experimentation strategies that distinguish local model gains from durable improvements in advertiser and business outcomes.\nPartner 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.\nAlign Product, Engineering, Science, Operations, and Go-to-Market teams around priorities, launch plans, operating mechanisms, and customer feedback loops.\nCommunicate strategy and progress clearly to senior leadership, creating conviction around investment decisions and ensuring accountability for results.\nWhat success looks like\nIn the first 90 days, you will:\nBuild a detailed understanding of IAP performance, the current bidding control tower, and the highest-impact opportunities across Android and iOS.\nEstablish strong working relationships with Engineering, Machine Learning, Data Science, UA SDK, and Go-to-Market partners.\nCreate a shared view of the performance backlog, key metrics, dependencies, and decision forums.\nIdentify and drive a focused set of near-term improvements while defining the longer-term product strategy.\nOver time, you will:\nMake IAP performance improvement a systematic, measurable, and continuously operating product discipline.\nDeliver structural gains in advertiser performance through better recommendations, bidding, signal utilization, and campaign automation.\nCreate a coherent product experience in which advertisers can express their business objectives and Moloco can optimize toward the outcomes that matter most.\nHelp make every campaign generate better data and every new signal improve the performance of the broader CARA system.\nHow do I know if the role is right for me?\nYou have 10+ years of experience, including significant product-management experience in ad tech, machine learning, marketplaces, optimization systems, or another technically complex domain.\nYou have owned products end to end, from strategy and problem definition through roadmap, execution, launch, and measurable business impact.\nYou have a track record of turning complex ML, data, or platform capabilities into customer and business outcomes.\nYou can reason deeply about performance systems, experimentation, metrics, and trade-offs in environments with noisy, incomplete, or probabilistic data.\nYou are comfortable partnering closely with Engineering, Machine Learning, Data Science, and infrastructure teams on highly technical products.\nYou can move between executive-level strategy and implementation-level detail, creating clarity without losing sight of the underlying system.\nYou have strong product judgment and prioritization skills, with the ability to identify the few investments most likely to create durable performance gains.\nYou have led cross-functional initiatives that required alignment across multiple teams, competing priorities, and a globally distributed organization.\nYou communicate clearly and can build conviction with senior leaders, technical partners, and customer-facing teams.\nYou are energized by ambiguous problem spaces and are comfortable learning quickly, forming hypotheses, and refining strategy through evidence.\nYou care about customer outcomes and can connect platform and model investments to the workflows, goals, and economics of advertisers.\nNice to have\nExperience with mobile advertising, in-app purchase or app-growth economics, gaming, DSPs, ad exchanges, or real-time bidding.\nExperience building bidding, recommendation, campaign-automation, identity, signal, measurement, or optimization products.\nExperience with predicted lifetime value, event-based optimization, SKAN, value-based bidding, or mobile measurement ecosystems.\nExperience leading products that span both platform capabilities and advertiser-facing workflows.\nExperience with SDK-based products, publisher integrations, or signal collection and quality systems.\nAn MBA, degree in Computer Science, Statistics, Engineering, or a related technical or analytical field.\nCompensation & Benefits\nU.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).\nThe 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.\nThe 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.\nRegion A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area\nRegion B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami\nRegion C: All other U.S. locations\nSalary Ranges:\nRegion A:\n$211,200—$264,000 USD\nRegion B:\n$190,000—$237,500 USD\nRegion C:\n$179,600—$224,500 USD\nSupporting Your Best Work and Your Best Life:\nOur 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.\nMoloco Values: \nLead with Humility: Everyone’s voice is respected, valued, and heard. We win, lose, and learn together. Accountability and feedback are essential to our success. \nUncapped 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. \nCreate 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. \nGo 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. \nAdditional Resources: \nMoloco Company Blog \nMoloco Leadership\nMoloco Newsroom \nAI Use in Interviews\nOur 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.\nCandidate Privacy Notice:\nYour privacy matters to us. 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