---
title: "Priya Singh - AI Product & Workflow Consultant in Bengaluru | Tal"
description: "Meet Priya Singh, Founder’s Office @TheProductFolks | Product Manager | Customer Discovery | Enterprise Workflow Design | Platform Products | AI-Assisted Product Solution based in Bengaluru. AI stack includes claude code, codex, and lovable. Explore public work links including priyasinghpm.github.i..."
image: "https://tal.club/meet/priya-singh-1/share-image"
---

# Priya Singh on Tal

## Headline

Founder’s Office @TheProductFolks \| Product Manager \| Customer Discovery \| Enterprise Workflow Design \| Platform Products \| AI\-Assisted Product Solution

## About

I help AI startups turn complex enterprise workflows into products customers can successfully adopt\. My work spans customer discovery, AI workflow design, product strategy, and execution from identifying the right problems to building scalable solutions\.

## Location

Bengaluru

## AI stack

claude code

codex

lovable

notebooklm

notion

ollama

## Work experience

AI Product & Workflow Consultant at Carpenter\.ai, May 2026 \- Present · 4 mo, Bengaluru, Karnataka, India, • Identified data\-quality and traceability challenges across large unstructured datasets and designed scalable AI\-assisted workflows to improve data reliability and reduce manual review effort\. • Conducted discovery with domain experts and end users to uncover workflow bottlenecks, define product requirements, and prioritize high\-impact automation opportunities\. • Led the design of AI\-assisted extraction, validation, and reconciliation workflows that transformed manual, error\-prone processes into scalable systems for data tracking and quality assurance\. • Defined validation frameworks, success metrics, and exception\-management processes to improve stakeholder visibility, data confidence, and decision\-making\. • Created executive reporting frameworks and dashboards to monitor data quality, validation performance, reconciliation outcomes, and enrichment opportunities\. • Identified 900\+ previously uncaptured records absent from baseline datasets, uncovering significant data\-enrichment opportunities and improving dataset completeness\. • Delivered stakeholder\-facing insights and recommendations that informed governance decisions, remediation priorities, and future product initiatives\.

Product at LinkMiles Mobility Private Limited, Oct 2025 \- Apr 2026 · 6 mo, Remote

Product at LinkMiles Mobility Private Limited, Oct 2025 \- Oct 2025 · 1 mo

Product at LinkMiles Mobility Private Limited, Sep 2025 \- Mar 2026 · 7 mos, • Conducted user discovery with riders, operations, finance, and business stakeholders to identify workflow bottlenecks, product gaps, and opportunities to improve payout experiences\. • Defined product requirements and translated complex payout and reconciliation workflows into scalable product solutions, partnering closely with engineering teams from discovery through delivery\. • Led the design of automated payout and reconciliation workflows across multi\-client operations, reducing processing time from 4–5 hours to \~2 hours per cycle and decreasing cross\-team intervention by 40%\. • Defined a configurable onboarding framework for client\-specific payout formats, enabling support for multiple payout cycles while reducing client setup time from \~2 days to same\-day activation\. • Designed rider\-facing payout experiences that improved earnings transparency and reduced support queries by 25–30%, increasing trust and self\-service adoption\. • Established product success metrics and stakeholder feedback loops to evaluate feature adoption, validate product hypotheses, and drive iterative improvements, reducing post\-payout corrections by \~25%\. • Prioritized roadmap initiatives by balancing rider needs, operational constraints, and business goals across multiple stakeholder groups\.

Structured PM apprenticeship at Product Space, Mar 2025 \- Aug 2025 · 6 mos, • Conducted customer discovery, problem validation, and solution design across 10\+ product simulations spanning B2B SaaS, platform, and consumer products\. • Developed PRDs, user journeys, prioritization frameworks, success metrics, and go\-to\-market recommendations for end\-to\-end product case studies\. • Applied structured product thinking to define customer problems, evaluate trade\-offs, and recommend solutions aligned with user needs and business goals\. • Leveraged data\-driven decision\-making, stakeholder management, and agile product development practices across multiple product scenarios\. • Recognized as a Top Product Fellow for demonstrating strong product discovery, prioritization, and problem\-solving capabilities\.

Personal goal pursuit at Career Break, Nov 2020 \- Mar 2023 · 2 yrs 5 mos

Software Engineer ll at Shopalyst, Jul 2019 \- Oct 2020 · 1 yr 4 mos, Greater Bengaluru Area, Working as a Front End Developer

## Education

B\.tech, Biotechnology, Srm University

## Public links

- priyasinghpm\.github\.io: https://priyasinghpm\.github\.io/
- github: https://github\.com/priyasinghpm

[View the original profile](https://tal.club/meet/priya-singh-1)

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