---
title: "Daksh Dhiman - AI Product Manager in Greater Bengaluru Area | Tal"
description: "Meet Daksh Dhiman, AI Product Manager | Product Owner | Product Analytics | Built AI-powered automation based in Greater Bengaluru Area. AI stack includes claude code, claude, and cursor."
image: "https://tal.club/meet/daksh-dhiman/share-image"
---

# Daksh Dhiman on Tal

## Headline

AI Product Manager \| Product Owner \| Product Analytics \| Built AI\-powered automation

## About

AI Product Manager with 7 years of combined experience \(5 in product, 2 in analytics\) owning roadmaps and shipping AI\-powered B2B SaaS across accounting automation, sales intelligence, and edtech\. Specialize in conversational AI, LLM evaluation, and trust\-calibrated automation, building an AI Sales Bot launched to 1,000\+ users, and AI transaction\-processing systems spanning auto\-matching, intelligent routing, and explainability that drive toward 1\-click automation\. Track record of aligning engineering, ML, design, and enterprise stakeholders to ship measurable outcomes: \~$500K pipeline influenced, \~15% lift in automated match rate, and prediction routing accuracy raised to 90%\. My approach to AI product management focuses on: • Translating ambiguous AI problems into measurable product outcomes • Balancing accuracy, usability, and adoption • Designing decision systems, not just features Core Areas: AI Product Management \| Product Management \| System Design Thinking \| SaaS Products

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

cursor

gemini

langchain

langgraph

## Work experience

AI Product Manager at LatentView Analytics, Jul 2025 \- Present · 1 yr 2 mos, Hybrid, Accounting Automation \- Leading Accounting Software Company ▸ Auto\-Match Identifier: Redesigned the hidden code QuickBooks uses to auto\-match bank transactions, aligning 10\+ teams on a backward\-compatible format, recovering the \~30% of transactions that failed to match and surfacing payee names the old code hid\. Lifted match rate by \~15%\. ▸ Intelligent Transaction Routing: Built an AI step that decides whether a transaction should be matched or categorized before the AI guesses\. Cut down wrong accounts receivable and payable recommendations by \~20%, boosted Ready\-to\-Post accuracy from 80% to 90%\. ▸ Explanation Icons: Owned the layer that shows customers how confident the AI is and why — re\-anchoring signals to transaction similarity with a simple green/blue/orange system\. Aiming to boost auto\-post adoption \~20% by building the trust needed for 1\-click automation\.

AI Product Manager at LatentView Analytics, Jul 2023 \- Jul 2025 · 2 yrs 1 mo, Hybrid, Sales Intelligence Platform \- Leading Software Company ▸ Discovery: Ran 40\+ interviews with Adobe sales reps and managers; quantified that reps lost significant hours each week manually pulling deal context in Salesforce, and framed the core job\-to\-be\-done and success metrics\. ▸ Definition & build: Translated findings into a roadmap and story maps; specified the AI pipeline \(text\-to\-SQL, retrieval over rep notes, grounded recommendations\) and co\-defined evaluation criteria \(answer accuracy, grounding\) and guardrails \(rep\-scoped data access\) with engineering and ML\. ▸ Delivery & impact: Launched to 1,000\+ reps across regions; cut deal\-context retrieval time \~70% and influenced \~$500K\+ in pipeline; stood up a feedback loop \(thumbs\-down \+ override rate\) for continuous improvement\.

Associate Product Manager at InfiMAX Infotech Pvt\. Ltd\., Mar 2019 \- Jan 2022 · 2 yrs 11 mos, Pune District, ▸ Supported the client’s product lead to build a B2B vernacular edtech platform, to deliver content in regional language, owned the backlog and roadmap across 3 product lines with engineering, design, and marketing\. ▸ Ran continuous discovery via funnel analytics and journey mapping to fix drop\-offs across discovery to enrollment to activation, contributing to \~6% churn reduction and \~10% revenue growth\.

Product Reporting & Analytics at Accenture, Nov 2017 \- Mar 2019 · 1 yr 5 mos, Pune District, ▸ Built reporting dashboards enabling teams to monitor operational and product KPIs across functions\. ▸ Designed scalable SQL data models and Power BI dashboards, improving reporting efficiency by 15%\.

## Education

PGPM, Marketing, Great Lakes Institute of Management

Bachelor of Engineering, Mechanical Engineering, Sinhgad college of engineering

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

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