Senior Product Manager - Central Data Repository & Data Platform AI

About InMobi

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

Product Management at InMobi

We offer an opportunity to have immediate impact with the company and our products. You shall be working at the cutting edge of technology connecting various businesses at InMobi centrally. The work that you shall do will be mission critical for InMobi and is in direct path for success of multiple of core product offerings in InMobi.

Our Product Managers at InMobi own the business strategy behind the product by building subject matter expertise, define its functional requirements aligned to various user personas through PRDs, and drive the launch of product features by owing the management of its development cycle with peer Engineering teams. We design world-class products within one of the fastest growing companies in this space with a truly global footprint.

About Our Product Team

Aligned to InMobi’s vision, one of the priorities of the CEO’s office is to look at Enterprise system & AI transformation with consolidation of products & business systems for - unlocking productivity, realizing efficiencies, streamlining critical business process flows and integrating cross-system architecture to achieve a lean and agile organizational set up.

Our Product members in the Product Team have a strong understanding of the company’s underlying business, data, product and process challenges in reporting frameworks, translating them into long term sustainable product solutions that are applicable across InMobi’s expanding & diversified business, finance, people & strategy units. This team will work across a spectrum of enterprise systems and internal products building end to end features and capabilities that help establish a fully integrated blueprint of company’s data architecture and system landscape. Our AI SPM will need to go deep and understand business operations across the End-to-end value chain to identify ‘product modifications, enhancements and system integrations’ keeping the larger inter-connected ecosystem in mind. They need to be extremely agile and on top of technology & be AI hands-on. They need to think big, multi-task, lead cross-functional initiatives and be able to deal with ambiguity with a positive attitude, in fact, thrive in it to deliver positive timely outcomes.

Responsibilities of an AI Senior Product Manager for AI Product Team

Core AI Technical Skills

• AI Product Vision & Strategy: Define and drive end-to-end AI product vision, roadmap, and GTM strategy. Own PRDs, user journeys, wireframes, and product analysis. Lead architecture decisions with AI Engineering, oversee implementation, testing, iteration, and launch.
• Applied ML & AI Expertise: Strong working knowledge of supervised, unsupervised, and reinforcement learning, neural networks, and NLP/NLU - with the ability to evaluate trade-offs and guide engineering toward optimal solutions.
• MLOps & Model Lifecycle: Own the full AI product lifecycle - data strategy, model training, validation, deployment, production monitoring, drift detection, and retraining. Define and enforce MLOps best practices.
• Modern AI Architectures: Deep familiarity with LLMs, RAG, agentic workflows, multi-agent systems, and multimodal architectures. Evaluate build-vs-buy decisions and assess emerging AI frameworks for enterprise use.
• AI Prototyping & Hands-on Building: Independently build functional prototypes and POCs using low-code tools or code-first approaches. Architect and build agents, evaluation pipelines, and demo-ready solutions.

Data & Analytical Competencies

• Data Strategy & Architecture: Own data pipelines, quality frameworks, annotation workflows, storage architecture, and governance. Identify gaps, biases, and scalability risks in datasets.
• Model Evaluation & Experimentation: Define evaluation frameworks using precision, recall, F1, ROC-AUC alongside business KPIs. Design A/B testing strategies for AI/ML iterations.
• Context Engineering: Design how AI systems interpret user intent - managing retrieval logic, prompt engineering, memory layers, and context window optimization.
• Ethical AI & Compliance: Champion fairness, transparency, and accountability. Lead compliance with GDPR, EU AI Act, and establish internal guardrails and responsible AI practices.
• Translational Leadership: Bridge data science, engineering, design, business, and executive stakeholders - translating technical constraints into business impact narratives.
• Adaptive Product Strategy: Move beyond deterministic roadmaps to adaptive learning loops. Prioritize based on real-time user behavior and model performance data.
• Risk Management: Identify and mitigate technical failures, security vulnerabilities, data privacy risks, and AI-specific failure modes (hallucinations, adversarial attacks, data leakage).

What do we expect from you?

• Overall experience of 12+ years with a ‘make it happen’ attitude
• 10+ years in Product Management with demonstrated ownership of AI/ML products from 0-to-1 and at scale
• Proven track record of writing outstanding AI PRDs, user journeys, wireframes, and end-to-end product analysis
• Build product design from scratch and drive AI Engineering teams through implementation, testing, and launch. Must be AI hands-on - able to build agents, prototypes, and evaluation frameworks independently
• Deep empathy for business user behaviour and ability to translate needs into data-driven solutions and automations at enterprise scale
• Excellent communication and stakeholder management - set clear expectations with senior leadership, call out dependencies, and influence across geographically dispersed and culturally diverse teams
• Demonstrated ability to mentor junior PMs and raise the bar on product thinking and AI literacy within the organization
• Thrive in ambiguity and a fast-paced environment