Group Product Manager

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.

• Define and Own the Measurement Vision for Accelerate: Establish the strategic direction for how Accelerate attributes and communicates advertiser performance — across channels, campaign types, and verticals. This encompasses the frameworks, partnerships, and platform capabilities that give advertisers clarity on outcomes and confidence in their investment. Measurement is to be treated as a platform-wide capability with strategic significance, not merely a reporting surface — and you will be accountable for its evolution accordingly.
• Build and Own the Optimization Engine: Performance measurement and performance improvement are inseparable. You will own the systems and product experiences through which Accelerate acts on data — surfacing recommendations, enabling automated adjustments, and equipping advertisers and agencies to optimize at a scale and velocity that manual management cannot sustain. In close partnership with ML and data science teams, you will define the objectives these systems optimize for and the product experiences through which their outputs are delivered to users with transparency and trust.
• Own the Accelerate Data Stack: Serve as the data product owner for Accelerate as a platform — defining how data is captured, structured, enriched, and made accessible across all modules. This scope extends beyond measurement: the intelligence underpinning media plan creation, campaign recommendations, audience signals, and AI-driven features depends on the integrity of the data layer you govern. Partner with engineering to ensure that data is treated as a strategic platform asset from the ground up.
• Shape the AI-First Measurement and Optimization Experience: Identify where AI meaningfully advances advertiser understanding and decision-making — not as an incidental feature, but as a structural mechanism through which Accelerate learns, improves, and creates value. From intelligent anomaly detection to cross-channel attribution to AI-driven budget guidance, define and champion measurement capabilities that are visible, trustworthy, and practically useful to advertisers who may have limited ad tech expertise.
• Evaluate and Drive Strategic Measurement Partnerships: As Accelerate scales, assess and own third-party measurement and data partnerships from a product perspective — determining what is built in-house versus integrated externally, and ensuring the platform's measurement infrastructure remains current and competitive.

• Proven experience in product management, preferably in ad tech, measurement, or data platforms.
• Deep understanding of digital advertising, attribution, and optimization algorithms.
• Strong analytical and strategic thinking skills, with the ability to define product vision from first principles.
• Experience working with machine learning and data science teams.
• Excellent communication and leadership skills, with the ability to influence across the organization.