Samitha R Babu profile photo 1 on Tal

Samitha R Babu

Product Leader | Enterprise AI Products | Product Innovation | Agile Evangelizer

Bengaluru

12+ years of work experience

KJBN Labs
May 20265 mosSep 2026

Bengaluru

Product Leadership | Agritech | EnterpriseAI
MathCo
Apr 20251 yr 2 mosMay 2026

Bengaluru

● Owned roadmap and $3M+ P&L for a Marketing Mix Modelling platform, led a 30-person cross-functional team; member of the Product Leadership Team (CXO-2 level). ● Scaled MMM to 300+ users (10x) at a Fortune 200 pharma client, informing $2B in marketing spend decisions; cut production issues by 67%. ● Launched an agentic insights layer on the MMM platform that answers business questions over model outputs and campaign data; cut analyst effort ~50% and decision cycles by 20% across 300+ users. ● Supervised the fine-tuning (SFT) of an open-source LLM, boosting task-specific accuracy up to 80% on domain-specific benchmarks for Scenario Planning. ● Designed its eval program: a golden set of 600 analyst-verified business questions (87% accuracy), groundedness checks tracing every figure to model outputs, and regression runs on each prompt or model change; 75% of insights accepted without edits after launch. ● Led 0→1 productization of analytics onto the NucliOS platform, cutting implementation time 30–40% with reuse across 5 client accounts.
Cropin
Apr 20223 yApr 2025

Bengaluru

● Drove the revisioning of Agri-Tech and Agri-Intelligence products for customers across the globe by working towards accelerating the farming digitization, convergence of AI/ML, data science, weather, and remote sensing to re-imagine a truly futuristic tech-enabled Agri-ecosystem worldwide. ● Owned Cropin Intelligence, a satellite and weather intelligence product delivering crop health, yield forecasting, and soil insight from individual plot to regional scale across 400+ crops in 100+ countries. ● Drove GTM strategy, pricing, and packaging for Cropin Intelligence, reaching product-market fit and 35% revenue growth in Q4 2024. ● Conducted multiple on-field trainings with customers and academia like Karnataka Science and Technology Academy KSTA on the advancements in crop monitoring and pest control. ● Launched sustainability and SDG reporting as a commercial offering for enterprise agri-ecosystems, enabling customers to evidence compliance against EUDR and related frameworks. ● Built adoption playbooks with Customer Success and Account Management, contributing to 110% NRR.
Noodle.ai
May 20192 y 11 moApr 2022

Bengaluru, Karnataka, India

● Owned Intelligent Inventory Management within the Noodle Digital Supply Chain suite, applying deep probabilistic AI to forecast supply-demand imbalances and recommend prioritized mitigations. ● Delivered 20% reduction in lost sales, 30% lower expedited freight costs, and 15–25% lower inventory holding costs across 5 enterprise deployments. ● Led development with data science, engineering, and design; established a SOC 2-compliant release process that cut release effort by 70%. ● Led product go-live across EMEA & APAC, driving user onboarding through training, hypercare, and support. ● Defined PRDs and user stories for releases, collaborating with Data Science to build automated model feedback loops to improve UX. Led ERP integrations to enable seamless adoption and scale.
Swiss Re
Oct 20171 yr 7 mosApr 2019

- Lead conceptual designing and creation of automation processes as part of the Risk Analytics team with focus on the Internal Capital Adequacy Model (ICAM) primarily built on MATLAB for multiple standard reporting processes, like Swiss Solvency Test which leverages appropriate risk reports for local regulatory risk reporting. - Designed and developed the “Risk Capital Modelling” approach for Swiss Re in Asia to ensure that all internal and external requirements are being met as part of the group risk model framework and its processes which involves creating precise technical concepts and proposals to customize/fine tune existing ICAM modules. - Analyze exposure data, test/refine risk factor calibrations, derive projection factors, perform stress/scenario testing and develop pragmatic but feasible proxies where necessary.
Mu Sigma Inc.
Jul 20143 y 3 moOct 2017

Bengaluru

● Owned Mu Sigma's Innovation Lab as Product Innovation Lead: PM work for proprietary analytics products including demos, research, adoption, training, and documentation across 50 client engagements. ● Led design sprints and visualization workshops with clients and engagement teams to shape apps before build. ● Architected dynamic web-based interfaces for IoT use cases like edge device telemetry, human motion analytics, and facial recognition. ● Delivered customized BI reporting for key client engagements and innovation lab prototypes.

Samitha’s AI Stack

claude code
claude code
codex
codex
cursor
cursor
langgraph
langgraph
lovable
lovable
obsidian
obsidian

Education

Bachelor of Engineering (BE), Computer Science

Nitte Meenakshi Institute of Technology, BANGALORE

20104 yrs2014

Join Samitha and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Samitha R Babu on Tal

Headline

Product Leader | Enterprise AI Products | Product Innovation | Agile Evangelizer

About

Principal PM with 12+ years taking AI/ML products from pilot to production in enterprise workflows: probabilistic supply-chain forecasting (Noodle.ai), satellite crop intelligence (Cropin), agentic analytics (MathCo), and yield forecasting for an agribusiness OS (KJBN). Owned a $3M+ P&L and a 30-person team; drove product-market fit and 35% revenue growth. Built AI-native product teams that prototype and ship with AI-led development. Taking products from 0 to 1 to 10x, delight customers, and adding exponential value till the very last mile. Product & Strategy: Platform Roadmap & Strategy, Product Governance & Gating, 0→1→10x Productization, Market Entry & Sizing, GTM & Pricing, P&L Ownership, Regulatory & Compliance Products. Technical & Delivery: Domain-Driven Design, GenAI & Agentic AI, GIS / Remote Sensing, Offline-First Product Design, ML & Probabilistic Forecasting, Release Governance, Cross-Functional Team Leadership (30+), PM Coaching, Product Innovation. Domains: Supply Chain & Logistics, Agritech, BFSI, Analytics delivery across Pharma, Retail, and Airlines.

Location

Bengaluru

AI stack

claude code

codex

cursor

langgraph

lovable

obsidian

Work experience

Principal Product Manager at KJBN Labs, May 2026 - Sep 2026 · 5 mos, Bengaluru, Product Leadership | Agritech | EnterpriseAI

Products Delivery Lead at MathCo, Apr 2025 - May 2026 · 1 yr 2 mos, Bengaluru, ● Owned roadmap and $3M+ P&L for a Marketing Mix Modelling platform, led a 30-person cross-functional team; member of the Product Leadership Team (CXO-2 level). ● Scaled MMM to 300+ users (10x) at a Fortune 200 pharma client, informing $2B in marketing spend decisions; cut production issues by 67%. ● Launched an agentic insights layer on the MMM platform that answers business questions over model outputs and campaign data; cut analyst effort ~50% and decision cycles by 20% across 300+ users. ● Supervised the fine-tuning (SFT) of an open-source LLM, boosting task-specific accuracy up to 80% on domain-specific benchmarks for Scenario Planning. ● Designed its eval program: a golden set of 600 analyst-verified business questions (87% accuracy), groundedness checks tracing every figure to model outputs, and regression runs on each prompt or model change; 75% of insights accepted without edits after launch. ● Led 0→1 productization of analytics onto the NucliOS platform, cutting implementation time 30–40% with reuse across 5 client accounts.

Senior Product Manager at Cropin, Apr 2022 - Apr 2025 · 3 y, Bengaluru, ● Drove the revisioning of Agri-Tech and Agri-Intelligence products for customers across the globe by working towards accelerating the farming digitization, convergence of AI/ML, data science, weather, and remote sensing to re-imagine a truly futuristic tech-enabled Agri-ecosystem worldwide. ● Owned Cropin Intelligence, a satellite and weather intelligence product delivering crop health, yield forecasting, and soil insight from individual plot to regional scale across 400+ crops in 100+ countries. ● Drove GTM strategy, pricing, and packaging for Cropin Intelligence, reaching product-market fit and 35% revenue growth in Q4 2024. ● Conducted multiple on-field trainings with customers and academia like Karnataka Science and Technology Academy KSTA on the advancements in crop monitoring and pest control. ● Launched sustainability and SDG reporting as a commercial offering for enterprise agri-ecosystems, enabling customers to evidence compliance against EUDR and related frameworks. ● Built adoption playbooks with Customer Success and Account Management, contributing to 110% NRR.

Senior Product Manager at Noodle.ai, May 2019 - Apr 2022 · 2 y 11 mo, Bengaluru, Karnataka, India, ● Owned Intelligent Inventory Management within the Noodle Digital Supply Chain suite, applying deep probabilistic AI to forecast supply-demand imbalances and recommend prioritized mitigations. ● Delivered 20% reduction in lost sales, 30% lower expedited freight costs, and 15–25% lower inventory holding costs across 5 enterprise deployments. ● Led development with data science, engineering, and design; established a SOC 2-compliant release process that cut release effort by 70%. ● Led product go-live across EMEA & APAC, driving user onboarding through training, hypercare, and support. ● Defined PRDs and user stories for releases, collaborating with Data Science to build automated model feedback loops to improve UX. Led ERP integrations to enable seamless adoption and scale.

Risk Analyst at Swiss Re, Oct 2017 - Apr 2019 · 1 yr 7 mos, - Lead conceptual designing and creation of automation processes as part of the Risk Analytics team with focus on the Internal Capital Adequacy Model (ICAM) primarily built on MATLAB for multiple standard reporting processes, like Swiss Solvency Test which leverages appropriate risk reports for local regulatory risk reporting. - Designed and developed the “Risk Capital Modelling” approach for Swiss Re in Asia to ensure that all internal and external requirements are being met as part of the group risk model framework and its processes which involves creating precise technical concepts and proposals to customize/fine tune existing ICAM modules. - Analyze exposure data, test/refine risk factor calibrations, derive projection factors, perform stress/scenario testing and develop pragmatic but feasible proxies where necessary.

Senior Business Analyst at Mu Sigma Inc., Jul 2014 - Oct 2017 · 3 y 3 mo, Bengaluru, ● Owned Mu Sigma's Innovation Lab as Product Innovation Lead: PM work for proprietary analytics products including demos, research, adoption, training, and documentation across 50 client engagements. ● Led design sprints and visualization workshops with clients and engagement teams to shape apps before build. ● Architected dynamic web-based interfaces for IoT use cases like edge device telemetry, human motion analytics, and facial recognition. ● Delivered customized BI reporting for key client engagements and innovation lab prototypes.

Education

Bachelor of Engineering (BE), Computer Science, Nitte Meenakshi Institute of Technology, BANGALORE