AI Product Manager | Associate Product Manager · Jaipur, India

I build products people actually use, and prove it with data.

From a messy real-world problem to something shipped and measured. I've written PRDs for voice and chat AI agents, designed RAG pipelines, and built a live games platform that turned a watching hall into ~150 players.

6 months as an AI Product Manager intern IIT Roorkee Product Management with Applied AI
Illustrated avatar of Sanyam
Every story here has real users and real numbers. No made-up metrics.
~150people played across 3 live shows of a platform I built
89%of phones that joined played along at the 25 Sep show (83% on 19 Sep)
65 sfor 10 AI-drafted quiz questions in one real run, vs ~1 hour by hand

Experience

Six months taking voice and chat AI agents from discovery to release.

Internship · Apr – Sep 2026

AI Product Manager Intern

Grand Slam Technologies LLP · Indore
  • Owned requirement definition for voice and chat AI agent features from discovery to release; wrote build-ready PRDs (user stories, conversation flows, edge cases, acceptance criteria) that cut engineering back-and-forth.
  • Designed RAG pipelines (knowledge-base structure, chunking by document type) and introduced a repeatable retrieval-evaluation process with representative test queries, so agents answered reliably from the right sources.
  • Built a version-controlled library of tested system prompts with guardrails for ambiguous and out-of-scope requests, so every prompt change could be reviewed and compared.
  • Benchmarked competing agents and analysed conversation data with SQL to shape roadmap priorities; aligned engineering, design and business stakeholders in Agile sprints and ran pre-release quality checks.
Sanyam combines a product manager's judgement with a genuine technical understanding of how modern AI systems are built, a combination that is rare at this stage of a career.
Partner, Grand Slam Technologies LLP · from my letter of recommendation

Skills

Everything on my resume, grouped the same way.

Product Strategy

Product DiscoveryRoadmappingMVP DefinitionPrioritizationNorth Star MetricAARRRGTM Strategy

Product Execution

PRD WritingAgile & ScrumBacklog ManagementUser StoriesSprint Planning

User Research & Design

User ResearchPersonasCustomer Journey MappingWireframingCompetitive Analysis

Analytics & Growth

SQLProduct MetricsKPI DefinitionFunnel AnalysisA/B Testing Fundamentals

AI Product

Generative AIRAG PipelinesPrompt EngineeringVoice & Chat AI AgentsOCR/NLUResponsible AI

Tools

FigmaJiraNotionMiroMake (no-code)TrelloSlackChatGPTClaude

Education

Literature and philosophy first, then product management with applied AI.

2026 · Certification

Future Ready Product Management with Applied AI Program

iHUB Divya Sampark, IIT Roorkee

AI capstone: Smart Split for PhonePe
2022 – 2024

M.A. English

University of Rajasthan

2019 – 2022

B.A. (English, Sanskrit, Jain Philosophy)

Jagadguru Ramanandacharya Rajasthan Sanskrit University

2019 · Class 12

Senior Secondary

Board of Secondary Education, Rajasthan

English LiteratureHindi LiteratureSanskritJain Philosophy
Class 10

Secondary

Gujarat Secondary and Higher Secondary Education Board, Gandhinagar

About me

How a literature student ended up shipping AI products.

SchoolChapter 1

Many languages before any product

I finished Class 10 with the Gujarat board in Gandhinagar and Class 12 with the Rajasthan board, studying English literature, Hindi literature, Sanskrit and Jain philosophy. Languages and ideas were my subjects long before products were.

2019 – 2024Chapter 2

Learning to read closely

A B.A. in English, Sanskrit and Jain philosophy, then an M.A. in English. Literature gave me the habit I use most today: noticing what a text, or a user, actually says rather than what I expected them to say.

2026Chapter 3

Finding product

IIT Roorkee's product management programme with applied AI showed me where that habit belongs. For my capstone I audited PhonePe's group-split flow, mined public reviews across five platforms, wrote the PRD for an AI bill-splitter, prototyped it in Figma and defended it before a panel.

Apr – Sep 2026Chapter 4

Building AI with a real team

As an AI Product Manager intern at Grand Slam Technologies, I owned requirements for voice and chat AI agents: build-ready PRDs, RAG pipelines with a retrieval-evaluation process, and a tested, version-controlled prompt library.

Sep 2026 – nowChapter 5

Shipping my own product

For a Jain NGO I turned a PowerPoint quiz into a KBC-style show, then built a games platform where the whole hall plays on their phones. When the show data showed right answers being marked wrong, and an hour of question-writing before every show, I shipped an AI question generator with a blind safety check.

I built it with Claude as my engineering partner. The problem, the decisions and the testing were mine.

NextChapter 6

Looking for my team

I'm looking for an Associate Product Manager or AI Product Manager role where I can own a problem end to end: talk to users, write the spec, ship it, and check the data honestly.

SanyamClose reading is still the skill I use most, whether the text is a granth, a review or a dashboard.

How I work

  • Start from evidence. Quotes, show data and reviews before opinions.
  • Pick the root cause. I prefer one fix that closes several frictions.
  • Ship small and real. A live Beta beats a polished deck.
  • Keep humans in charge of AI. Drafts, checks, then approval.
  • Build with AI tools. I use Claude as an engineering partner. I own the problem, the decisions and the tests.

Let's talk about your product.

Open to Associate Product Manager and AI Product Manager roles.