Asish Yadav Madala

Full-Stack AI Product Leader

Building agentic systems, shipping AI-native products, and driving outcomes at scale.

9+ years shipping AI products at PayPal, Apple, Cisco, and high-growth startups. From 0→1 ideas to production systems.

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AI-Native Product Management

From PRDs to prototypes to production — a fundamentally different execution model.

Traditional product management optimizes documentation flow. My approach optimizes learning velocity and execution throughput. Research stays rigorous. But ideas become interactive earlier, stakeholder validation happens sooner, engineering handoff is more precise, and agentic tooling compresses the entire delivery cycle.

My AI-Native Approach

Deep User Research

Customer interviews, external + internal data search, support team signals, leadership direction

AI-Assisted Solutioning

Use Claude/LLMs to identify potential solutions, map pain points to approaches

Triage & Prioritize

Decide which options are viable and high-impact

Vibe-Code Prototypes

Build interactive mockups and functional prototypes (sometimes multiple variants)

Early Stakeholder Validation

Verify with stakeholders using working prototypes, not static docs

Incorporate Feedback

Identify changes, iterate quickly

Precise Engineering Handoff

Scoped work packages to designers, front-end, back-end engineers — with validated artifacts

Agentic QA & Release

Automated testing, CI/CD, preview apps, merge

Parallel · Prototype-first · Tight feedback loops

Traditional Product Management

Market Research

Customer interviews, external data, internal data, support feedback, leadership input

Write PRDs

Detailed requirements documents for multiple use cases

Designer Mockups

Hand off to design team for mockup creation

Stakeholder Review

Review mockups with stakeholders

Engineering Tickets

Break into tickets, multiple sprint cycles

Testing

QA cycle

Release

Release plan and deployment

Sequential · Document-heavy · Slow feedback loops

My AI-Native Approach

Deep User Research

Customer interviews, external + internal data search, support team signals, leadership direction

AI-Assisted Solutioning

Use Claude/LLMs to identify potential solutions, map pain points to approaches

Triage & Prioritize

Decide which options are viable and high-impact

Vibe-Code Prototypes

Build interactive mockups and functional prototypes (sometimes multiple variants)

Early Stakeholder Validation

Verify with stakeholders using working prototypes, not static docs

Incorporate Feedback

Identify changes, iterate quickly

Precise Engineering Handoff

Scoped work packages to designers, front-end, back-end engineers — with validated artifacts

Agentic QA & Release

Automated testing, CI/CD, preview apps, merge

Parallel · Prototype-first · Tight feedback loops · Agent-assisted

The Operating System

How research, prototyping, validation, and delivery connect in practice.

User Research

AI-Assisted Analysis

Triage & Decide

Vibe-Code Prototypes

Stakeholder Validation

Feedback & Iteration

Precise Handoff

Design

Front-end

Back-end

Agentic QA & CI/CD

Release

User Research

AI-Assisted Analysis

Triage & Decide

Vibe-Code Prototypes

Stakeholder Validation

Feedback & Iteration

Precise Handoff

Parallel Handoff

Design

Front-end

Back-end

Agentic QA & CI/CD

Release

Agentic Delivery Infrastructure

The toolchain that compresses cycles and catches issues before merge.

Swipe to explore

AI Coding Agents

Prototype-to-production with AI pair programming

CursorClaude Code

Code Review

Automated PR analysis, conflict resolution, quality checks

CodeRabbitGitHub

CI/CD Pipeline

Automated builds, tests, and deployments on every PR

CircleCIVercel

E2E Testing

Automated end-to-end test suites before merge

PlaywrightMomentic AI

Preview Apps

Live preview environments for every PR before merge

Vercel Preview

LLM Orchestration

AI-assisted planning, analysis, and content generation

Claudevarious LLMs

AI Coding Agents

Prototype-to-production with AI pair programming

CursorClaude Code

Code Review

Automated PR analysis, conflict resolution, quality checks

CodeRabbitGitHub

CI/CD Pipeline

Automated builds, tests, and deployments on every PR

CircleCIVercel

E2E Testing

Automated end-to-end test suites before merge

PlaywrightMomentic AI

Preview Apps

Live preview environments for every PR before merge

Vercel Preview

LLM Orchestration

AI-assisted planning, analysis, and content generation

Claudevarious LLMs

Execution Leverage

Directional improvements from prototype-first, agent-assisted product development.

Idea to Prototype Speed

Days, not sprints

Interactive prototypes replace static PRDs as the first stakeholder artifact

Feedback Loop Time

Compressed ~60-70%

Stakeholders react to working prototypes, not documents — decisions happen faster

Handoff Clarity

Validated artifacts, not specs

Engineers receive scoped work with pre-tested context, reducing ambiguity and rework

Engineering Rework

Significantly reduced

Fewer misinterpretations from validated prototypes vs written requirements

Pre-Merge Quality

Automated E2E + AI review

Every PR gets agentic code review, E2E tests, and preview app verification before merge

Team Resource Focus

Higher leverage allocation

Designers polish validated concepts. Engineers build scoped features. Less wasted effort.

Idea to Prototype Speed

Days, not sprints

Interactive prototypes replace static PRDs as the first stakeholder artifact

Feedback Loop Time

Compressed ~60-70%

Stakeholders react to working prototypes, not documents — decisions happen faster

Estimated directional improvement

Handoff Clarity

Validated artifacts, not specs

Engineers receive scoped work with pre-tested context, reducing ambiguity and rework

Engineering Rework

Significantly reduced

Fewer misinterpretations from validated prototypes vs written requirements

Pre-Merge Quality

Automated E2E + AI review

Every PR gets agentic code review, E2E tests, and preview app verification before merge

Team Resource Focus

Higher leverage allocation

Designers polish validated concepts. Engineers build scoped features. Less wasted effort.

Indicators reflect directional process improvements based on workflow structure. Specific values are estimated ranges, not externally audited benchmarks.

Traditional PM hands off requirements. I hand off validated artifacts, scoped implementation paths, and pre-tested execution context.

Current Role

Senior Full-Stack AI Product Manager

CRED — AI-Native GTM Data Platform · Sep 2025 – Present

MoM Adoption

95%

CSAT Score

80%

Time Saved

20%

Revenue Lift

Compressed 2 quarters of roadmap into 2 months with 5-member direct report, vibe-coding functional prototypes & orchestrating delivery
Architected and shipped the CRED MCP server with agentic AI tools on GraphQL and data science operations — grew user adoption 5x MoM
Designed an automated workflow engine triggering lead qualification alerts, news monitoring, and outreach via MCP tools — contributing 20% incremental quarterly revenue

Delivered an outreach product automating sales campaigns via natural language, cutting campaign setup time by 80%

Built the company's first iOS app with AI-assistant-central experience, scored 95% CSAT in alpha testing

Aligned execution to CRED's moat strategy: unique internal data, external data enrichment, and an action marketplace of agents

Agentic Workflow Engine

Lead Qualification

News Monitoring

Automated Outreach

MCP Tools

Senior Technical Product Manager

PayPal · Jun 2024 – Aug 2025

Scoped adoption strategy for PayPal AI agent toolkits across 7 AI code editors and 20+ MCP marketplaces

Pioneered agentic commerce by integrating product catalogues into PayPal app conversations, drafted Chat-as-a-Service plan identifying $5M opportunity with 25% YoY growth

Scoped adoption strategy for PayPal AI agent toolkits across 7 AI code editors and 20+ MCP marketplaces

Pioneered agentic commerce by integrating product catalogues into PayPal app conversations, drafted Chat-as-a-Service plan identifying $5M opportunity with 25% YoY growth

Designed GenAI-powered RAG conversational agents with topic and product disambiguation, MVP targeting 75K man-hours of automation annually

Revamped developer.paypal.com search, achieving 75% accuracy improvement in A/B experiment at 50% ramp

Agentic Commerce Flow

Chat Input

RAG Search

AI Processing

Commerce Action

Chat Input

RAG Search

AI Processing

Commerce Action

$5M

Opportunity

75K

Hours Saved

75%

Search Accuracy

AI Editors

$5M

Opportunity

75K

Hours Saved

75%

Search Accuracy

AI Editors

Conversational AI at Scale

Building and scaling AI-powered customer experiences at two of the world's most influential tech companies.

Technical Product Manager

Conversational AI · Sep 2022 – May 2023

Usage Growth

Countries

200K+

Queries

Led global chatbot expansion — scaled usage 7x across 15 countries
Redesigned bot architecture from tree-based to graph-based, cutting dialog config effort by 40%
Integrated generative AI into conversational platform — 200K+ customer queries resolved with GenAI content in 15 countries
Migrated team from waterfall to Agile, boosting productivity 20%

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NLP/NLUEntity ClassificationDialogflowCXGenerative AIGraph ArchitectureAgile

Senior IT Product Manager

Oct 2023 – May 2024

$5M

Budget Secured

Product Suites

Deployed GenAI-powered escalation solutions across 17 product suite lines
Researched industry escalation management practices, formulated comprehensive AI/ML-driven revamp plan, and secured $5M budget for Phase 1 execution

Customer Query

Chatbot

GenAI Escalation

Agent Resolution

Customer Query

→

Chatbot

→

GenAI Escalation

→

Agent Resolution

GenAIChatbotCSAT OptimizationEscalation Management17 Product Suites

Earlier Experience

Building foundations across startups, enterprise, and academia.

PriceEasy AI

Founding Technical PM

Jan 2022 – Aug 2022

Series A Startup

•Shipped 5 E2E features for Fortune 100 companies
•$7M in contract wins
•Deployment compressed from 2 months to 2 weeks

$7M

Contracts

2wk

Deployment

RIZZO International Inc.

Engineering Associate

Feb 2020 – Jan 2022

Engineering Company

•Strategic product roadmap for data pipeline
•MVP delivered 4 months early
•$2M budget secured
•$25K + 80 man-hours saved per simulation

$2M

Budget

4mo

Early

Hindustan Petroleum Corp. Ltd.

Operations Manager

Jul 2017 – Jul 2018

Fortune Global 500

•Supply chain automation MVP
•20% output boost
•1.5x truck mileage improvement
•A/B tested two prototype variants

20%

Output

1.5x

Efficiency

UC Berkeley, Haas School of Business

Product Operations

Apr 2016 – Dec 2016

Smart Village Innovation Accelerator

•Prototype connecting 30 smart devices
•Interviewed 15 schools for user research
•Business model for $1M revenue in 3 months

Devices

$1M

Model

City Commuters Club

Product Manager

Jun 2015 – Dec 2016

Startup (c3c.in)

•Ride sharing platform + mobile app
•4.5-star rating, 10K downloads, 1.5K beta users
•Multivariate regression for digital currency exchange

10K

Downloads

4.5

Rating

Garware Technical Fibres Ltd.

Product Analyst Intern

May 2016 – Jul 2016

Manufacturing

•Life Cycle Assessment for eco-friendly products
•25% sales increase

25%

Sales

Education

World-class engineering education from two premier institutions.

Carnegie Mellon University

M.S. Computational Engineering

Aug 2018 – Dec 2019

Pittsburgh, PA

NLP FocusComputational MethodsMachine Learning

Indian Institute of Technology Madras

B.Tech Engineering

Jul 2013 – Jul 2017

Chennai, India

Civil EngineeringProduct InnovationComputational Methods

Projects

Technical projects spanning computational engineering, machine learning, and hardware.

CMU

Cohesive zone modeling using 3D point clouds

Jan–May 2019

3D reconstruction of soil slopes, Poisson surface reconstruction, FEA, Mohr-Coulomb + CZM failure analysis.

CMU

FEA code: Laplace equation over triangular domain

Mar–Apr 2019

Modular C++ code, isoparametric elements, Gauss integration, Dirichlet & Neumann BCs.

CMU

Neural network: Labelling handwritten letters

Feb–Mar 2019

Single hidden layer NN, sigmoid activation, stochastic gradient descent.

CMU

Decision tree learner

Jan–Feb 2019

Built from scratch, mutual information splitting, DFS traversal.

CMU

Mesh generation

Jan–Feb 2019

Polygon meshing into 4-noded elements with visualization.

IIT Madras

Temperature gradient measuring device

Feb–Apr 2017

XY plane temp detector with Arduino + stepper motor, 80%+ cost reduction.

Publications

Peer-reviewed research in environmental engineering.

"Effluent Treatment in LPG Bottling Plants"

IJISRTVol-3, Issue-7Aug 2018

Study on water treatment at HPCL Mysore LPG bottling plant. Analyzed SBR comparison and hazardous waste processing methodologies.

"Eco friendly solutions for Geosynthetics applications by embodied energy and CO2 emission calculations"

IJAMCEVol-3, Issue-6Dec 2016

Life cycle assessment of geosynthetics for environmental impact. Comprehensive analysis of embodied energy and CO2 emissions.

Awards & Honors

$65K in scholarships and recognition across academics, innovation, and athletics.

Scholarships ($65K)

Harold Allen Thomas Memorial Scholarship
CEE CMU · 2019
Robotics Institute Fellowship
CMU · 2019
Full semester tuition waiver
NTRVV Scholarship
2018
MCM Scholarship
IIT Madras · 2014

Product Innovation

Finalist, Smart Village Innovation Accelerator
Haas School of Business, UC Berkeley · 2016

Academic Excellence

Gold Medalist
City top estimated average among 1 lakh+ students · 2012
Gold Medalist
Campus topper, Vasavi Club · 2012

Athletics

Weightlifting Captain · IIT Madras

Inter IIT Weightlifting Team Member · Placed 1st among Chennai colleges

Runner-up · District Level Weightlifting

Weightlifting Captain

IIT Madras · 2014–15

Inter IIT Weightlifting Team Member

Placed 1st among Chennai colleges

Runner-up

District Level Weightlifting

Organizations

Leadership roles in student organizations and entrepreneurship.

Joint Secretary

Civil Engineering Association, IIT Madras

Mar 2016

Led 5-tier team: 16 cores, 50+ coordinators, 40+ volunteers, 20+ ambassadors. Organized CEA-Fest 2016 with 1,800 participants.

Design & Media Core Member

Civil Engineering Association

Apr 2015 – Mar 2016

Led 3-tier team of 7 coordinators & 16 deputy coordinators. Taught 100+ students graphic design.

Startup Representative

C-TIDES

Apr 2014 – Apr 2015

Bridge between aspiring entrepreneurs & incubation cells. Secured 5 lakh grant for budding startups. Guided 6+ student ventures.

Languages:

Telugu(Native)

English(Full Professional)

Hindi(Professional Working)

Kannada(Limited Working)

Let's connect

Interested in working together or have a question? I'd love to hear from you.

Get in touch

linkedin.com/in/asish-madala

amadala@alumni.cmu.edu

GitHub

github.com/asish1996