Nidhi Kiran — Product Manager

01 / 05

nidhi-kiran / home

PRODUCT · AI · UX · DATA

About Me ✨

Hi, I’m Nidhi! I’m a senior at UT Austin and have spent the past two summers as a PM Intern at Salesforce, working across user research, product strategy, and AI-powered workflows. I love taking ambiguous problems, understanding what users actually need, and turning those insights into thoughtful, useful, and measurable products. I’m especially interested in AI, consumer technology, and products at the intersection of design, data, and engineering. I’m currently looking for full-time new grad PM roles.

📍 Austin, Texas↳ UT Austin · McCombs + School of Computing● Building at the edge of AI + UX

How I buildlisten deeply
think in systems
make it clear

Product testuseful?
clear?
chosen again?

01 / EXPERIENCE

A timeline of
learning by doing.

CURRENTWORK EXPERIENCE · 2026 TO 2024PAST

4 LANESSELECT A SWIMMER TO OPEN THE STORY7 STOPS

Technical PM

Salesforce

Product Management Intern

San Francisco, CA · Summer 2026

Owned product work across Salesforce’s mobile event experience, including push notifications, localization, location-aware experiences, and workflow automation.

PRODUCT SCOPE

Took features from discovery and prototyping through requirements, prioritization, Jira refinement, QA, launch readiness, and stakeholder reviews across Product, Engineering, Design, and leadership.

MEASURABLE IMPACT

Prototyped a Marketing Cloud MCP workflow that reduced a three-step manual notification process by 43%. Led QA, release testing, and telemetry validation across 5,749 notification sends, achieving 98% deliverability. Conducted 5 research studies with 40+ users and 10+ refinement sessions to translate usability findings into product improvements.

TECHNICAL SIGNALS

MCP + Marketing Cloud integration · Product telemetry · Release QA · Jira refinement · Localization strategy · Product requirements · Prototyping · Usability research · Must / Should / Nice-to-have prioritization

02 / PROJECTS

Built, researched,
shipped, measured.

Selected product work showing how I move from an ambiguous problem to evidence, decisions, execution, and measurable outcomes.

FEATURED WORK

The clearest evidence of how I build products.

COMPETITION CONCEPTFINTECH PRODUCT STRATEGY

WealthSync

Making financial planning feel more achievable through goals, community, and accountability.

Designed a social, gamified wealth-planning concept and mapped its behavioral loop, market opportunity, channel strategy, and roadmap.

PROOF2nd Place · 400 Teams

BEHAVIORAL DESIGNFINTECHGTMROADMAPPING

UI/UX CLASS PROJECTUX RESEARCH + DESIGN

SyncTrip

Group travel wasn't a search problem. It was a coordination problem.

Translated research on student budgets, schedules, and planning behavior into a group-first travel flow spanning shared constraints, flight comparison, voting, and confirmation.

PROOF16 survey participants · Lo-fi to hi-fi

USER RESEARCHUX DESIGNFIGMAPROTOTYPING

SHIPPED0→1 PRODUCT

OrgFlow

Building the operating layer for student organizations.

Led discovery, product strategy, and full-stack execution for a multi-tenant operations platform built with React, Vite, Supabase, and PostgreSQL.

PROOF500+ users · 15+ organizations in discovery

PRODUCT DISCOVERYREACT + VITESUPABASEPOSTGRESQL

2ND PLACEAGENTIC AI

PlateForce

An AI agent for personalized meal recommendations.

Defined the product vision and agent workflows for a Salesforce Agentforce experience while coordinating Product and Engineering execution during a rapid-build hackathon.

PROOF2nd Place · Salesforce Agentforce Hackathon

AI AGENTSAGENTFORCEREST APISPRODUCT STRATEGY

CONCEPTUALAI + B2B SAAS

Confluence Pulse

Helping teams know when organizational knowledge is actually trustworthy.

Designed a contextual freshness system that brings Confluence trust signals into Slack, where work is already happening.

PROOFFresh · Review Needed · Stale workflow

AI STRATEGYB2B SAASKNOWLEDGE MANAGEMENTMETRICS

MORE WORK

Focused initiatives across AI evaluation, data products, growth, and product strategy.

ML PROJECTAI + DATA

Predicting Movie Success

Can data help filmmakers make better investment decisions?

Led the framing of an ML project analyzing 10,000+ movies, defining ROI as the core success metric and examining how budget, genre, popularity, and release factors relate to performance.

PROOF10,000+ movies analyzed

MACHINE LEARNINGPRODUCT ANALYTICSPYTHONMODEL INTERPRETATION

BUILTFULL-STACK PRODUCT

Study Spot Finder

Helping students discover campus study spaces through location context and community knowledge.

Built a working campus discovery app with a database-driven map, location photos, comments, ratings, and nearby-coffee logic.

PROOFWorking full-stack product

PYTHONANVILGOOGLE MAPSDATA TABLES

ANALYTICS PROJECTPRODUCT ANALYTICS + DATA

Analyzing Spotify

What makes a song popular, and how much can the data actually tell us?

Explored 230K+ tracks to compare how audio characteristics relate to popularity overall and within genres.

PROOF230K+ tracks · 26 genres · 9 features

TABLEAUDATA ANALYSISSEGMENTATIONEXCEL

COMING SOONMore projects are being added to the deck.

03 / PRODUCT CATEGORIES

How I think.
How I build.

Select up to two categories. Combine them to see how my capabilities intersect.

0/2 CATEGORIES SELECTED

Illustration of Nidhi building products on a laptop

CATEGORY MIXER

Select one or two categories to explore how they shape my work.

MATCHING WORK & EVIDENCE

Choose a category to surface the projects and experiences that demonstrate it.

04 / RESEARCH & THINKING

Ideas worth
staying with.

Research at the intersection of AI, consumer behavior, marketing, and evidence-based decisions.

AI RESEARCH · PREDICTIVE MODELING

Forecasting Marketing Trends with AI

A literature synthesis exploring how predictive modeling can improve personalization, targeting, and real-time decisions while introducing privacy, bias, and ethical risks.

READ PAPER ↗

ORIGINAL RESEARCH · CONTENT ANALYSIS

Instagram Ad Language & Search Interest

A correlational study using content analysis and Google Trends to examine how words in Instagram ad captions relate to spikes in product search interest.

READ PAPER ↗

A NOTE FROM NIDHI

“I’m interested in the space where evidence, intuition, and technology meet.”

I turn technical possibilities into products people value.I turn complex problems into products people value.

About Me ✨

A timeline oflearning by doing.