ASHISH BHATIA Boston, MA | ashbhatia@gmail.com | +1-781-460-8473 linkedin.com/in/ashbhatia | github.com/ashbhati | ashbhatia.substack.com | ashish-bhatia.com ================================================================================ DIRECTOR OF PRODUCT MANAGEMENT | AI & GENERATIVE AI ================================================================================ Product leader with 20+ years of experience building and scaling AI-powered platforms across both enterprise and consumer markets. At Audible, driving conversational content discovery and personalization, enhancing audiobook search and exploration that fuels ~40% of Audible's revenue. At Microsoft, led integration of OpenAI models into Power Platform, enabling 300K+ monthly active makers and 150M predictions monthly. Recognized for launching V1 products, creating evaluation frameworks for safe deployment, and forging partnerships with global enterprises. Holds two patents in AI-based emissions detection and sensor optimization. A trusted thought leader with a proven track record of launching 0-to-1 AI products that scale to millions of users, forging enterprise partnerships, and translating cutting-edge AI into measurable business outcomes. ================================================================================ KEY SKILLS ================================================================================ Generative AI | Conversational Discovery | Personalization | Search & Recommendation Systems | Prompt Engineering | Evaluation Frameworks | AI Governance | Safe Deployment of AI | Platform & Product Strategy | B2B & B2C Product Leadership | Large Language Models (LLMs) | Agentic AI | RAG | NLP | A/B Testing | Cross-Functional Leadership ================================================================================ PROFESSIONAL EXPERIENCE ================================================================================ AUDIBLE (an Amazon company) -- Cambridge, MA Director, Product Management August 2025 - Present Driving innovation in conversational content discovery and personalization for the world's leading audiobook platform. Focused on leveraging AI to make Audible's vast catalog more accessible, enabling exploration beyond search and increasing listening consumption. * Lead GenAI-powered conversational discovery -- the first AI-powered audiobook search at scale -- enabling millions of listeners to naturally explore and find audiobooks across Audible's catalog. * Launched "Easy Buy" within conversational search, generating $500K in annualized revenue. * Drive innovation in Audible's search & personalization platform (~40% of company revenue) by evolving user journeys from traditional search to interactive, multi-turn exploration. * Built end-to-end evaluation framework for conversational search, cutting exhaustive regression testing from 3-4 days to 4-6 hours -- an 85%+ reduction in QA cycle time. * Partner with engineering, data science, analytics, and marketing to deliver AI-first listening experiences that increase catalog visibility, deepen engagement, and grow paid consumption. -------------------------------------------------------------------------------- MICROSOFT -- Cambridge, MA Principal Product Manager, AI Tools - Copilot Studio May 2022 - July 2025 Enabled thousands of citizen developers to build intelligent agents, workflows, and apps by integrating cutting-edge generative AI into Microsoft's no-code ecosystem through AI Tools (formerly AI Builder), transforming Power Platform into an accessible AI development environment. * Launched Prompt Builder, a new no-code prompt authoring experience reaching 300K+ MAU, 150M+ monthly predictions, and 75B+ tokens generated with 20% month-over-month growth. * Integrated OpenAI models into Microsoft flagship no-code/low-code platforms making state-of-the-art AI accessible to all. * Delivered capabilities showcased in Satya Nadella's Build '25 keynote, including bring-your-own-model and code interpreter -- reaching a global audience of millions. * Conceptualized copilot-driven prompt authoring experiences, optimization and evaluation tooling in collaboration with the Data Science team and MSR. * Led responsible AI assessment and deployment reviews, collaborating with Microsoft compliance and safety teams to ensure full compliance with Microsoft's Responsible AI standards. * Delivered prompt testing and evaluation capabilities for citizen developers, backed by A/B tests, usability studies, and telemetry insights. * Drove cross-geo execution across teams in the U.S. and Europe, managing a globally distributed roadmap. Principal Product Manager, Microsoft Cloud for Energy September 2019 - and Sustainability May 2022 Accelerated energy transition and emissions reduction for global utilities and O&G majors by leading AI innovation in Microsoft Cloud for Energy and Sustainability, delivering AI-powered solutions at the intersection of energy, environment, and technology. * Delivered industry-first AI capabilities for methane detection and emissions monitoring adopted by key sustainability programs. * Represented Microsoft in Project Astra, a leading industry consortium focused on collaborative methane mitigation. * Filed two patents focused on sensor placement optimization and source attribution for methane emissions. * Established strategic partnerships with Chevron, SLB, Equinor and Shell, leading AI-infused subsurface and field digitization initiatives. * Spearheaded cross-org collaboration through innovation labs, co-development engagements, and joint AI hackathons. * Built knowledge mining solutions to manage and retrieve large-scale subsurface data using BERT and early GPT models, enabling faster insights in exploration and field development. Senior Data Science Program Manager, AI Customer Advisory May 2014 - August 2019 Drove AI adoption across manufacturing, retail, and energy by leading strategic engagements with Fortune 500 customers, delivering applied machine learning solutions to solve high-impact business challenges. * Led end-to-end design and deployment of ML solutions addressing use cases in predictive maintenance, supply chain optimization, and personalization. * Worked with Jabil to reduce rework by 17% using predictive analytics solutions. * Founded and scaled the AI Lab Program, establishing it as Microsoft's best-practice model for customer co-innovation through joint engineering and rapid prototyping. * Built the AI Customer Engagement Program, introducing triage workflows and metrics-driven governance to increase solution delivery velocity and impact. * Spearheaded Microsoft's AI platform outreach with a two-year webinar series and led the Product Feedback Program to align engineering priorities with customer needs. -------------------------------------------------------------------------------- NOKIA -- Bangalore, India | Boston, MA, USA Product Manager, Identity and Analytics Solutions December 2006 - May 2014 * Launched and scaled Nokia Identity Services to 300M+ users globally, owning product strategy across authentication, data ingestion, and cloud personalization. * Owned data ingestion & analytics services across Nokia smartphones. * Enabled personalization across cloud and multimedia services for millions of users. -------------------------------------------------------------------------------- WIPRO -- Bangalore, India | Tampere, Finland Product Lead, Mobile Application July 2003 - November 2006 * Led development of integrated navigation, telephony, and music for Nokia Car Kit. * Served as Symbian expert and product tester at Nokia Tampere. ================================================================================ EDUCATION AND PROFESSIONAL DEVELOPMENT ================================================================================ Master of Computer Applications Institute of Technology and Science, Ghaziabad, India Bachelor of Commerce University of Allahabad, India AI Evals for Engineers and PMs -- Maven Designing and Building AI Product and Services -- MIT Deep Learning Course 6.S191 -- MIT Data Science and Machine Learning Essentials -- edX ================================================================================ PATENTS ================================================================================ Pollutant Sensor Placement Optimization https://patents.google.com/patent/WO2023278048A1 Systems and Methods for Emission Source Attribution https://patents.google.com/patent/US20230282316A1 ================================================================================ AWARDS ================================================================================ * Exemplary Assignment, Designing and Building AI Product and Services, MIT * Microsoft Hackathon Winner, 2020 (Best in the Show-East), 2021 (Sustainability and Space) ================================================================================ PUBLIC SPEAKING AND EVANGELISM ================================================================================ External Conferences: GenAI World 2025, Coforge TechCon 2025, Power Platform Conference 2024, AI Community Conference Boston (2024 & 2025), NYC (2025), ODSC AI East 2026, ODSC (2021), MVP Summit 2023 & 2025 Podcasts: AI Realized, PowerCAT Live, Low Code Revolution, Microsoft AI Show, Global AI Podcast, Copilot Show Panelist: Northeast University PMCon 2026 (multiple sessions), Startup Boston Week 2025, Babson College, University of Rhode Island Judge: Boston Startup TechStars 2026, Global AI Hackathon 2024 & 2025, LaunchAthon Demo Day 2024, Datamellon AI Ignite Pitch Battle 2025 Community: Organizer, Boston OpenClaw -- monthly AI meetups and hackathons; co-hosted Boston ClawCon 2026 ================================================================================ PUBLICATIONS ================================================================================ With Maven, Audible Offers First AI-Powered Search for Audiobooks Chevron Turns to Microsoft Custom Analytics to Optimize Panel Inspection