Product Manager- ML Decision Systems (Demand Side Platform)

About the role

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond. At InMobi Advertising, you ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com About the Role We are building next-generation ML-driven decision systems powering a global Demand Side Platform (DSP). These systems operate at massive scale and optimize real-time marketplace decisions across pricing, targeting, fraud prevention, and performance optimization. We are looking for a Product Manager who thrives at the intersection of business strategy, machine learning, and real-time systems. This role is ideal for someone who has owned ML-powered products in production environments. What You Will Own Define business objectives and translate them into ML-driven decision systems with direct impact on revenue, margin, auction efficiency, etc. Own end-to-end lifecycle of ML initiatives: problem framing, signal validation, modeling alignment, experimentation, rollout, monitoring & iteration Partner closely with Data Scientists and Engineers to ship real-time ML systems at scale. Define success metrics, guardrails, and experimentation frameworks. Drive auction/pricing/optimization strategies balancing revenue, performance, and risk. Own business impact and continuously optimize deployed models. Manage cross-functional squads focused on measurable business outcomes. What We re Looking For Experience 3+ years of Product Management experience 1+ years owning ML-powered or data-driven products in production. Experience in real-time or large-scale decision systems where model outputs directly impacted runtime decisions (e.g., marketplace optimization, pricing engines, ranking systems, fraud models, search/recommendation) Experience designing and interpreting A/B experiments. Experience working closely with Data Science and Engineering teams. Strongly Preferred (But Not Mandatory) Experience in AdTech, MarTech, digital advertising, or marketplace platforms. Exposure to auction systems or dynamic pricing models. Experience building products in high-scale consumer or fintech platforms. Full-time MBA education Technical & Analytical Expectations You do not need to build models, but you must be comfortable with: Prediction targets vs automated decisions Offline vs online metrics (e.g. AUC, calibration, precision-recall) Guardrails and business trade-offs Loss functions (conceptual understanding) Model drift and retraining cycles Data pipelines and real-time latency constraints Ability to: Write structured PRDs Analyze performance metrics Reason about trade-offs quantitatively Experience with SQL or basic data analysis tools is preferred. What Makes You a Strong Fit High ownership mindset: you own outcomes, not tasks. Strong marketplace intuition (supply-demand, incentives, trade-offs). Comfortable operating in high-ambiguity environments where signals are imperfect and trade-offs are multi-dimensional. Strong cross-functional influence. Bias for action and measurable outcomes. Comfortable navigating failure and iteration cycles. Bonus Points Experience with GenAI/LLMs and rapid prototyping. Experience building ML experimentation frameworks. Experience mentoring junior PMs. Why Join You ll work on: Core economic engines of a global DSP with direct revenue impact. High-scale ML systems powering millions of real-time decisions. Marketplace optimization problems with mea

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