---
title: "Kaustubhi Shukla - Senior Product Manager in Bengaluru | Tal"
description: "Meet Kaustubhi Shukla, Senior AI Product Manager | 0→1 LLM-Powered Platforms | Agentic AI · Forward Deployment · JTBD | Building at Zeroto1.ai based in Bengaluru. AI stack includes antigravity and codex. Explore public work links including github."
image: "https://tal.club/meet/kaustubhi-shukla/share-image"
---

# Kaustubhi Shukla on Tal

## Headline

Senior AI Product Manager \| 0→1 LLM\-Powered Platforms \| Agentic AI · Forward Deployment · JTBD \| Building at Zeroto1\.ai

## About

I build AI products that ship fast and stick\. Currently leading 0→1 launches of LLM\-powered platforms at Zeroto1\.ai — turning unstructured workflows into agentic AI systems that deliver measurable enterprise impact \(concept → production in 6 weeks, 40%\+ efficiency gains across Sales, Marketing and CS\)\. My path here wasn't linear\. I started with UX research and curriculum redesign, moved through strategy consulting at ZS Associates \(oncology GTM and brand\-extension strategy across US, EU and APAC\), then stepped into AI Product Management at Datafoundry — where I learned what it takes to move ambiguous problems through user research, JTBD synthesis, growth instrumentation and forward deployment with enterprise clients\. What I bring to AI product work: → Full AI stack fluency — agentic workflows, RAG, model evaluation, AI observability, connectors across CRM/email/calendar/BI → Forward\-deployed by default — onboarding playbooks, enablement content, rollout checklists that get enterprise customers to value in weeks, not months → Lean cross\-functional leadership — 10\+ person teams across Engineering, Design and Marketing → Data\-grounded decisions — A/B testing, growth funnels, Mixpanel / Amplitude / Langfuse observability → Speed as a discipline — 4\-week GTM playbooks, 6\-week launches If you're building AI\-native products and want a PM who has lived every part of the stack — from user interviews to LLM evals — let's talk\. 📧 kaustubhishukla662@gmail\.com

## Location

Bengaluru

## AI stack

antigravity

codex

## Work experience

Senior Product Manager at Zero to 1, Oct 2025 \- Present · 11 mos, Bengaluru, Building 0→1 AI\-native platforms at Zeroto1\.ai ▸ LIGHTHOUSE — Enterprise AI Central Nervous System Cross\-functional AI OS that encodes Sales, Marketing, CS and R&D intelligence into one connected brain — eliminating departmental AI black holes\. \- Launched LLM\-powered platform from concept → production in 6 weeks; onboarded 6\+ enterprise clients in 2 months via repeatable 4\-week GTM playbook \- Drove 83% reduction in meeting prep time \(60→10 min\), freeing \~50 hrs/week across Sales, CS and Marketing through signal\-based AI intelligence and automated pre\-call briefs \- Built forward deployment and adoption playbooks — onboarding flows, enablement content, rollout checklists — cutting enterprise time\-to\-live by \~40% \(Rithum, Insight Partners\) \- Owned AI connectors and integrations roadmap across CRM, email, calendar and BI tools — enabling real\-time cross\-functional signal ingestion \- Instituted AI observability and model evaluation frameworks tracking LLM output quality, prompt performance and feedback loops \- Lead 10\+ cross\-functional team across Engineering, Design and Marketing in lean, high\-urgency sprint cycles ▸ ORCHESTRATION LAYER \| SOL — AI Chief of Staff Expanding Lighthouse into agentic AI for marketing orchestration and executive decision intelligence\. \- Architected agentic AI workflows and multi\-channel connectors \(HubSpot, Marketo, CRM\), validated with 5\+ design partners — targeting 60%\+ reduction in manual campaign setup \- Defining 0→1 product strategy for Sol — agentic AI Chief of Staff synthesizing calendar, email, pipeline and team signals into proactive executive decision intelligence Stack: LLMs · Agentic AI · AI Observability · Posthog · Langfuse · Figma · JIRA

AI Product Manager at Datafoundry, Aug 2024 \- Oct 2025 · 1 yr 3 mos, Bengaluru, Led AI Product Management for Datafoundry's LLM\-powered Literature Research platform — serving Drug Safety and Medical Affairs teams across global pharma\. ▸ PRODUCT & STRATEGY \- Owned end\-to\-end product lifecycle for 3 AI modules — from ideation through pilot to enterprise launch \- Defined 12\-month product roadmap synthesized from 30\+ user interviews; reduced time\-to\-insight by 40% for medical affairs teams \- Partnered with ML architects, domain experts and data scientists to design core AI capabilities — Semantic Search, Relevancy Ranking and LLM\-based data extraction through Knowledge Graphs \- Translated complex business objectives into AI\-driven features aligned to user workflows and pharma regulatory standards \- Integrated advanced AI techniques \(semantic retrieval, knowledge graphs, RAG\) to enhance information retrieval and decision\-making in drug safety and medical affairs ▸ GROWTH & ADOPTION \- Ran A/B dashboard experiments — improved report\-generation efficiency by 30% and enterprise adoption by 25% \- Led early\-adopter program with \~40 power users achieving 95% satisfaction \- Secured 4 enterprise clients in 6 months; built $2M\+ revenue pipeline; accelerated time\-to\-value by 35% ▸ DELIVERY & TEAM \- Implemented Scaled Agile Framework \(SAFe\) to streamline product development and ensure timely delivery across modules \- Coached a 10\-member cross\-functional team; boosted sprint velocity by 20% \- Used JIRA, Figma and Eraser for backlog management, design collaboration and architecture mapping Stack: LLMs · RAG · Knowledge Graphs · Semantic Search · A/B Testing · SAFe · JIRA · Figma · Eraser

Senior Product Strategy Insights & Planning Associate at ZS, May 2022 \- Aug 2024 · 2 yrs 4 mos, Bengaluru, Senior associate on ZS's product strategy team — delivering insights, market research and forecasting that shaped global pharma product roadmaps and GTM strategy across oncology and life sciences\. ▸ STRATEGY & RESEARCH \- Produced 20\+ GTM reports and data\-driven analyses on business performance, market positioning and competitive landscape — directly influencing 3 product launch timelines \- Identified $40M in brand\-extension opportunities across US, EU and APAC oncology markets; recommendations adopted into 3\-year product roadmap by senior leadership \- Conducted market research across geographies to surface opportunities in biopharma and life sciences \(oncology specialty\), shaping client product roadmaps and strategic planning \- Designed and executed market research surveys to gather behavioral insights, validate Jobs\-to\-be\-Done \(JTBD\) and identify product opportunities ▸ ANALYTICS & MODELING \- Improved demand forecast accuracy from 70% → 85%; drove 10% uplift in promotional ROI via A/B testing across 4 key markets \- Led 4 analysts in building pricing models projecting $15M Year 1 revenue growth — validated by client and used in board\-level planning \- Leveraged ZS's proprietary PRIZSM platform for advanced data modeling, demand forecasting and product strategy optimization ▸ CLIENT & STAKEHOLDER IMPACT \- Accelerated client GTM execution by 30% and cut decision cycles by 25% \- Owned vendor and senior client communication, ensuring strategic insights translated into measurable business outcomes Stack: Market Research · Demand Forecasting · A/B Testing · PRIZSM · Excel · Survey Design · Pricing Strategy

Strategy Associate Consultant at Wazir Advisors, Dec 2021 \- May 2022 · 6 mos, Gurugram, Haryana, India, 1\) Delivered growth strategies and implementation roadmaps for clients in textile, retail and fashion industries, using secondary research to identify market opportunities and competitive advantages 2\) Evaluated industry systems to identify inefficiencies and resource utilization challenges, advising clients on operational improvements and product optimizations 3\) Led partner search efforts for strategic joint ventures, ensuring alignment with clients' long\-term business objectives and product development goals

Buyer\- Consumer Products at Vishal Mega Mart \(Airplaza Retail Holdings Private Limited\), Jun 2021 \- Oct 2021 · 5 mos, Gurugram, Haryana, India, 1\) Managed sales analysis, inventory forecasting, and seasonal buying plans, ensuring alignment with market demand and customer preferences 2\) Conducted competitive analysis, customer surveys, and sales reporting, leveraging insights to refine product offerings and improve customer experience 3\) Established strong vendor relationships and supported training initiatives to improve supply chain management and product delivery

## Education

Masters of Fashion Management, Fashion Management, National Institute of Fashion Technology, India

Bachelor of Science, Economics \(Honors\), Symbiosis School of Economics

## Public links

- github: https://github\.com/kaustubhi\-shukla

[View the original profile](https://tal.club/meet/kaustubhi-shukla)

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