--- title: 'Group Product Manager, IAP Advertising Performance at Moloco' canonical: 'https://feeny.ai/job/group-product-manager-iap-advertising-performance-moloco-menlo-park-dw2p83ss4ex1' type: 'job' last_seen: '2026-10-28' --- # Group Product Manager, IAP Advertising Performance at Moloco - **Company:** Moloco - **Location:** Menlo Park, CA / New York, NY / Seattle, WA - **Compensation:** $180k–$264k - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-10-28 - **Apply:** https://job-boards.greenhouse.io/moloco/jobs/8038077003 ## Job description 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](https://www.moloco.com/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](https://www.moloco.com/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. The impact you’ll contribute to Moloco 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. The opportunity 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. The role combines: - 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 ## What you will do - 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. How do I know if the role is right for me? - 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 have owned products end to end, from strategy and problem definition through roadmap, execution, launch, and measurable business impact. - You have a track record of turning complex ML, data, or platform capabilities into customer and business outcomes. - You can reason deeply about performance systems, experimentation, metrics, and trade-offs in environments with noisy, incomplete, or probabilistic data. - You are comfortable partnering closely with Engineering, Machine Learning, Data Science, and infrastructure teams on highly technical products. - You can move between executive-level strategy and implementation-level detail, creating clarity without losing sight of the underlying system. - 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 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. - You are energized by ambiguous problem spaces and are comfortable learning quickly, forming hypotheses, and refining strategy through evidence. - You care about customer outcomes and can connect platform and model investments to the workflows, goals, and economics of advertisers. ## Nice to have - Experience with mobile advertising, in-app purchase or app-growth economics, gaming, DSPs, ad exchanges, or real-time bidding. - Experience building bidding, recommendation, campaign-automation, identity, signal, measurement, or optimization products. - Experience with predicted lifetime value, event-based optimization, SKAN, value-based bidding, or mobile measurement ecosystems. - Experience leading products that span both platform capabilities and advertiser-facing workflows. - Experience with SDK-based products, publisher integrations, or signal collection and quality systems. - An MBA, degree in Computer Science, Statistics, Engineering, or a related technical or analytical 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: $211,200—$264,000 USD Region B: $190,000—$237,500 USD Region C: $179,600—$224,500 USD Supporting 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: - [Moloco Company Blog](https://www.moloco.com/blogs) - [Moloco Leadership](https://www.moloco.com/company/leadership) - [Moloco Newsroom](https://www.moloco.com/newsroom) 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](https://www.moloco.cloud/hubfs/careers/AI%20Use%20in%20Interviews.pdf) 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](https://www.moloco.cloud/hubfs/careers/Candidate%20Privacy%20Notice.pdf). ## About Moloco ## Company Overview - **One-liner**: Moloco builds AI-powered performance advertising solutions that enable businesses of all sizes to grow and monetize through operational machine learning. - **Entity Type**: Private (valued over $2 billion) - **Headquarters**: Menlo Park, California, USA (Silicon Valley) - **Founded**: 2013 - **Founders**: Ikkjin Ahn (CEO) ## Core Business - Primary industry/industries: AI-powered advertising technology (AdTech), Machine Learning, Performance Marketing, Commerce Media, Streaming Monetization - Target customers: B2B — performance marketers, online marketplaces and retailers, streaming and CTV platforms - Mission or purpose statement: "Empower businesses of all sizes to grow through operational machine learning." Their vision is to be "the scaling engine for the Internet economy." ## Products & Services - **Moloco Ads**: A flagship performance advertising platform that helps marketers acquire and re-engage users at scale across the world's largest independent app ecosystem (2+ billion users across 3 million apps). Uses advanced AI optimization for strong ROI and incrementality. - **Moloco Commerce Media**: An enterprise software solution enabling online marketplaces and retailers to build their own ML-powered advertising business, turning every retail impression into revenue. - **Moloco Streaming Monetization**: The industry's first AI-powered full-funnel ad stack designed for large streaming and CTV providers, enabling them to offer performance marketing and full-funnel advertising solutions beyond traditional brand advertising. ## Market Standing - **Valuation/Market Cap**: Valued over $2 billion (backed by Fidelity Management & Research) - **Key Metric Total Funding**: The company is fully funded and does not need additional capital; it has been profitable for five years, self-funding growth with zero debt. Key metrics include over $200 million in annual revenue (growing more than 5x since 2020) and over $2 billion in annualized ad spend. - **Notable Investors/Partners**: Investors include Fidelity Management & Research. Customers include Tubi, Wayfair, Chime, Pinterest, Scopely, King, Snapchat, Musinsa, and Olive Young. - **Growth Signals**: Rapidly scaled from $1 million to $100 million in under five years, now exceeding $200 million in revenue. Less than 1% penetration of total addressable market. Recognized as a Deloitte Fast 500 company, Google Cloud Customer of the Year, one of the Financial Times Fastest Growing Companies, and one of Business Insider’s Top 16 Hottest Ad Tech Companies. ## Competitive Advantages - **Planet-scale AI**: Founded by machine learning pioneers who built some of the most successful ad systems at Google (including YouTube's monetization engine and Android Data team). - **Financial strength**: Profitable for five years with zero debt, allowing heavy investment in R&D while maintaining startup agility. - **Proprietary ML technology**: Uses operational machine learning to solve advertising challenges at scale, with a unique ability to leverage first-party data from apps and platforms. - **Independence**: Not tied to any major platform or walled garden, enabling them to work across the independent app ecosystem. ## Strategic Focus - Expanding into streaming and CTV monetization with a first-of-its-kind full-funnel AI ad stack - Growing the Commerce Media business to enable more retailers and marketplaces to build their own ad businesses - Continuing to scale the core Ads business with low penetration (less than 1%) of a massive addressable market - Investing heavily in innovation while maintaining profitability ## Why Work Here - **Culture**: Emphasizes collaboration, humility, and empowerment. Values include "Lead With Humility," "Go Further Together," "Create Real Value," and "Uncapped Growth Mindset." - **Remote/Hybrid/Office Policy**: Offers remote offices globally, with physical hubs in Menlo Park (HQ), San Francisco, New York, Seattle, Los Angeles, London, Tel Aviv, Seoul, Tokyo, Beijing, Singapore, and Gurgaon (India). - **Notable Perks**: - 100% health insurance coverage for employees (plus dental, vision, and life insurance for family) - Unlimited paid time off (flexible vacation policy) - Paid parental leave for primary and secondary caregivers - $2,500 annual Learning & Development stipend - Daily lunch provided, healthy snacks and beverages - Home office setup, phone, internet, and transportation reimbursements - Equity and generous retirement benefits - Memberships to Calm, Headspace, Spring Health, plus fitness and health reimbursements - **Engineering Culture**: Work alongside engineers who built some of the world's largest ML systems at Google, Amazon, YouTube, and Meta. High-impact, fast-paced environment with a focus on real customer results. - **Team**: Over 700 employees globally, with a strong commitment to diversity, inclusion, and belonging. - **Financial Stability**: Profitable for five years, no debt, fully funded — offering job security rare for a growth-stage startup. ## Sources 1. [moloco.com/careers](https://www.moloco.com/careers) 2. [moloco.com/about](https://www.moloco.com/about) 3. [moloco.com](https://www.moloco.com/) 4. [moloco.com/leadership](https://www.moloco.com/leadership) 5. [linkedin.com/company/moloco](https://www.linkedin.com/company/moloco) ## Other roles at Moloco - [Senior New Business Manager](https://feeny.ai/job/senior-new-business-manager-moloco-beijing-yfvnp3ktyq6m) — Beijing, China - [Machine Learning Engineer Intern (3-month Internship)](https://feeny.ai/job/machine-learning-engineer-intern-3-month-internship-moloco-seoul-ejv8ga62tfpk) — Seoul, South Korea - [Staff Software Engineer - AI Applications](https://feeny.ai/job/staff-software-engineer-ai-applications-moloco-menlo-park-adzb4h6nmv3f) — Menlo Park, CA / Seattle, WA - [Global Product Activation Lead (gPAL)](https://feeny.ai/job/global-product-activation-lead-gpal-moloco-menlo-park-01jkh65byc4y) — Menlo Park, CA / New York, NY / San Francisco, CA / Seattle, WA - [Moloco Ads GTM Strategy Manager](https://feeny.ai/job/moloco-ads-gtm-strategy-manager-moloco-menlo-park-warbfr4xdh5x) — Menlo Park, CA - [Senior Marketing Insights Analyst](https://feeny.ai/job/senior-marketing-insights-analyst-moloco-menlo-park-e70f5saw62s1) — Menlo Park, CA / San Francisco, CA - [Head of People Technology](https://feeny.ai/job/head-of-people-technology-moloco-menlo-park-4ypawnz0kf12) — Menlo Park, CA - [Senior Data Scientist, Growth Analytics](https://feeny.ai/job/senior-data-scientist-growth-analytics-moloco-menlo-park-53mwqn27r11c) — Menlo Park, CA / New York, NY - [Software Engineer Intern (3 months)](https://feeny.ai/job/software-engineer-intern-3-months-moloco-seoul-51f7mh1w90fd) — Seoul, South Korea - [Staff Software Engineer (소프트웨어 엔지니어)](https://feeny.ai/job/staff-software-engineer-moloco-seoul-qq4h2335f31y) — Seoul, South Korea