Headline

Senior Product Manager · AI & LLM Products | Conversational AI · Generative AI · Chatbots | B2C Growth & Engagement | Pocket FM | IIT Indore

About

Senior Product Manager with 3+ years building AI-powered B2C products at Pocket FM — India's #1 audio storytelling platform (100M+ users). I specialise in LLM-driven product systems: conversational AI chatbots, generative content experiments, and RAG-based character personalisation — with deep focus on user engagement, retention, and growth. Current work: → End-to-end chatbot infrastructure for audio characters: LLM prompt architecture, personality calibration, embedding evaluation, and A/B testing of response formats → Fan fiction format experiments across India and US: AI-assisted content creation, engagement analysis, and market-level scaling → Cross-functional roadmap definition across content, data science, and engineering Before Pocket FM, led supply-side growth and partner product at OYO. IIT Indore (Electrical Engineering) — trained to debug systems, not just use them. Core skills: LLM product design · Prompt engineering · A/B experimentation · B2C growth · Retention · Statistical analysis · Generative AI · Cross-functional leadership

Location

Greater Bengaluru Area

AI stack

antigravity

claude code

claude

codex

cursor

gemini

Work experience

Senior Product Manager at Pocket FM, Oct 2025 - Present · 11 mos, Bengaluru, Karnataka, India, • Leading Pocket FM's conversational AI product — built end-to-end chatbot infrastructure for audio IP characters, including LLM prompt architecture, character persona systems, RAG-based context retrieval, and engagement quality testing across 6+ titles • Designed character DNA framework (persona, voice, behavioural bounds) deployed across multiple shows; built regression test sets and embedding evaluation pipelines to systematically reduce critical failure rates and improve response quality • Running generative AI content experiments (fan fiction format) across India and US markets — full-cycle ownership from prototype through A/B testing, engagement analysis, and executive reporting • Owning AI product roadmap in collaboration with content, data science, and engineering; translating early-stage experiments into structured product bets

Product Manager at Pocket FM, Jun 2024 - Oct 2025 · 1 yr 5 mos, • Owned AI content format experiments end-to-end — designed structured experimentation frameworks and shipped A/B tests with measurable impact on session depth, single-message bounce rate, and engagement retention • Drove cross-functional product initiatives across growth, monetisation, and content teams; connected user behaviour signals (message depth, re-engagement rate, self-disclosure rate) to data-informed product decisions • Expanded Pocket FM's LLM product surface — transitioned early chatbot POCs into a systematic character + content framework; designed prompt layer architecture, persona calibration system, and quality guardrails

Associate Product Manager at Pocket FM, Dec 2022 - May 2024 · 1 yr 6 mos, Bengaluru, Karnataka, India, • Shipped 3 core consumer features — Subscription, Loyalty programme, Referral system • Co-owned north star metrics: ARPU, D30 Retention, Activation rate, and LTV across Growth, Revenue, and Retention pods; drove weekly metric reviews and data-informed feature prioritisation • Led zero-to-one launch of Pocket Novels consumer app — owned product roadmap, UX, and performance optimisation from early access to stable release

Associate Product Manager at OYO, Jun 2021 - Dec 2022 · 1 yr 7 mos, Gurugram, Haryana, India, - 15 months of work experience as an Associate Product Manager - Successfully managed the Overbooking project, resulting in a $3.6mn monthly increase in Gross Booking Value - Key responsibilities included identifying and prioritizing feature sets, coordinating internal dependencies, and executing the Overbooking workstream - Developed the Reco-engine for Pre-applied Promotions, leading to a $800K monthly increase in Gross Booking Value - Contributed to the ideation and solutioning process for applying promotions at the booking level, considering user attributes and metrics such as conversion and realization rates, average discounts, and average revenue per room - Created a detailed roadmap plan for the execution of the project and effectively aligned leadership and business teams for successful implementation

Education

BTech - Bachelor of Technology, Electrical and Electronics Engineering, Indian Institute of Technology, Indore