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Product Manager

I turn data
into decisions.

For 4+ years I've built and scaled B2B SaaS and AI-powered products, where customer insight meets execution and good products create measurable business value.

View my work Download resume
5 yrs
Industry experience
4 yrs
Product management
300M+
Vehicles running products I manage
$100M+
Revenue upside driven
About

A product manager
built on data.

I'm a product manager based in Irvine, CA, with 5 years of industry experience and 4 of them in product management. I build and scale B2B SaaS, enterprise analytics, and AI-powered products, turning ambiguous customer needs into clear requirements, roadmaps, and shipped features.

Today I own Nexus Analytics, Nexus Ads, and a suite of AI-enabled data products at Gracenote, partnering across engineering, UX, sales, and executive stakeholders to ship products that move real metrics.

My background blends Industrial Engineering and Business Analytics, so I'm as comfortable in SQL and data pipelines as I am framing strategy for an executive readout, and lately, building LLM, agent, and MCP-powered product experiences.

Product & Leadership

Product Strategy Product Roadmaps Data-Driven Decisions A/B Testing User Research Cross-Functional Leadership

AI

AI Product Development AI Agents & MCP Protocol LLM Integration & Prompting AI Evaluation & Guardrails

Data & Analytics

SQL & Data Analytics Python & Data Transformation Data Visualization

Tools

Claude & Gemini Cursor Hugging Face BigQuery & Athena QuickSight Tableau Power BI Palantir Foundry Amplitude Snowflake Jira & JPD Grafana Figma Cloudflare Workers GitHub & GitLab
Selected work

Case studies

How I frame problems, work across teams, and drive outcomes.

0→1 · AdTech · Automotive

In-Car Ad Measurement Platform

Product Manager II · Gracenote · 2024–Present

Leading the OEM strategy and requirements for a first-of-its-kind in-car ad measurement platform that combines iHeartMedia, Nielsen, and Gracenote technology to help automakers unlock higher-CPM ad revenue.

$100M+
Revenue upside for large OEMs
3
Data partners integrated
0→1
New product category
In-car ad measurement platform
In-car ad measurement platform
Read the full case study
The problem

Automakers sit on a massive, highly engaged in-car audience but lack the measurement infrastructure to monetize it at premium CPMs. Without trusted audience and attribution data, in-car ad inventory is undervalued.

My approach
  • Defined the product concept and value narrative for OEM and partner audiences
  • Combined iHeartMedia, Nielsen, and Gracenote data into one measurement layer
  • Aligned cross-functional and external partners around a shared set of requirements
The outcome

Identified $100M+ in ad-revenue upside for large OEMs and shaped the requirements and pitch now driving the 0→1 build.

AI Products · Enterprise BI

Nexus Analytics & AI-Powered Insights

Product Manager II · Gracenote · 2024–Present

I own Nexus Analytics, a customer-facing enterprise BI product that turns in-car Gracenote product usage into insights for automakers, including one of North America's largest OEMs, and I defined the first-of-its-kind Nexus MCP Server.

300M+
Vehicles in scope
3-yr
Roadmap owned
1st
Of-its-kind MCP server
Nexus Analytics dashboard
Nexus Analytics dashboard
Read the full case study
The problem

Automaker product and marketing teams needed trustworthy, self-serve insights from in-car app usage. In-car voice LLMs also lacked grounding in real-time automotive data.

My approach
  • Owned Nexus Analytics end to end across requirements, reporting workflows, and roadmap
  • Defined an AI chat interface so customers can ask natural-language questions of usage data
  • Specced the Nexus MCP Server to ground in-car voice LLMs with real-time automotive data
The outcome

A customer-facing BI product serving a top North American OEM, with an AI roadmap that turns raw usage data into targeted, self-serve insights.

0→1 · Audio Products · GTM

Nexus News & Nexus Podcasts

Product Manager / Product Analyst · Gracenote · 2022–2024

I spearheaded go-to-market for Nexus News and Nexus Podcasts, in-car audio products built from the ground up on customer input and delivered via RESTful API and Android app. Nexus News is a white-label news experience automakers embed in their vehicles; Nexus Podcasts is an expanded podcast database covering the essentials drivers expect.

3
Global OEM partnerships
$3M+
Pipeline in 60 days
Voice
Powers "Hey, play the news"
Nexus in-car experience
Read the full case study
The problem

When a driver says "Hey, play the news," that content has to come from a service, and for many automakers that service is Gracenote. Automakers wanted a ready-to-embed, branded news and podcast experience without building their own content pipeline.

My approach
  • Built both products from the ground up, grounding scope in ongoing automaker and customer feedback
  • Nexus News: a white-label in-car product with local news radio, streaming news radio, and news podcasts
  • Nexus Podcasts: an expanded podcast database covering the essentials drivers reach for
  • Delivered via RESTful API and Android app, and led go-to-market
The outcome

Secured 3 global OEM partnerships and a $3M+ sales pipeline within 60 days of launch, with voice-ready news and podcasts embedded directly into vehicles.

Watch the Nexus overview ›
Growth · Experimentation · Analytics

In-Car UX Optimization & Analytics

Product Manager / Product Analyst · Gracenote · 2022–2024

Led product analytics for Gracenote's automotive division and used product usage data to guide UX, GTM, and strategy, including A/B testing that lifted engagement for millions of drivers.

~20%
Android app engagement lift
$200K
Annual reporting cost saved
Millions
Of drivers impacted
Read the full case study
The problem

The automotive division needed a reliable, cost-efficient way to understand engagement, adoption, and coverage, then turn that understanding into better in-car UX and sharper GTM decisions.

My approach
  • Built analytics pipelines in SQL and QuickSight to track adoption, engagement, and customer KPIs
  • Led A/B testing and usability studies to optimize in-car UI/UX
  • Turned usage data into roadmap recommendations and executive readouts
The outcome

Drove a ~20% increase in Android app engagement and cut reporting costs by $200K per year.

AI Projects

Apps I built & shipped

Two iOS apps I co-founded and lead as CPO, built 0→1 with AI and shipped to the App Store. Hundreds of users across both, plus tens of thousands of views across social.

T
Co-founder & CPO · iOS · AI

Tavla — AI Fitness Tracker

An AI fitness tracker built for athletes: log workouts, scan meals with AI to track macros, and get a personalized AI coach, all in one app. I took it from idea to a live, 5.0★ App Store product.

Tavla screenshot 1
Tavla screenshot 2
Tavla screenshot 3
What I built
  • Built the product hands-on via Claude Code, shipping features end to end
  • AI meal detection & macro assessment via the FDA food database and FatSecret API
  • Supabase auth & database, RevenueCat paywall & metrics, GitHub hosting
  • AI coach that turns a user's own data into personalized guidance
What the data taught us

Google Analytics on user behavior showed we had to simplify the app to an extreme degree. Keeping every core action within two taps was the single biggest lever on new-user retention. The lesson I carry forward: make it as simple as humanly possible.

Claude Code Supabase RevenueCat FatSecret API FDA Database Google Analytics
View on the App Store
P
Co-founder & CPO · iOS

Podium — Run Clubs & Events

A fitness-events app for runners and local communities: discover races, run clubs, and group workouts nearby, create and host events, download routes, and connect with active people, all on one map.

Podium screenshot 1
Podium screenshot 2
Podium screenshot 3
What I built
  • Built and shipped 0→1 via Claude Code, owning product direction as CPO
  • Event discovery and a live local map for races, clubs, group runs, rides, and hikes
  • Route download/export to Garmin, COROS, and more; SMS event sharing
  • Same modern stack: Supabase, RevenueCat, GitHub
Approach

Built with the same simplicity-first philosophy: get users to value fast, keep navigation shallow, and let real usage data drive what to cut and what to keep. Launched to the App Store at a 5.0★ rating.

Claude Code Supabase RevenueCat GitHub Maps / Routes Google Analytics
View on the App Store
Experience

Where I've worked

2024 — Present

Product Manager II

Gracenote · San Francisco, CA
  • Own Nexus Analytics, Nexus Ads, and AI-enabled data products integrated across 300M+ vehicles, spanning product strategy, enterprise BI, and LLM integrations.
  • Own Nexus Analytics, a customer-facing enterprise BI product that turns in-car Gracenote usage into insights for automakers, including one of North America's largest OEMs.
  • Lead strategy and requirements for a 0→1 in-car ad measurement platform (iHeartMedia + Nielsen + Gracenote), with $100M+ revenue upside for large OEMs.
  • Defined requirements for the Nexus MCP Server, a first-of-its-kind integration grounding in-car voice LLMs in real-time automotive data.
2022 — 2024

Product Manager / Product Analyst

Gracenote · San Francisco, CA
  • Led product analytics and early-stage audio products for Gracenote's automotive division, turning usage data into UX, GTM, and product strategy across News & Podcasts offerings.
  • Spearheaded GTM for Nexus News and Podcasts, in-car audio products delivered via RESTful API and Android app, securing 3 global OEM partnerships and a $3M+ pipeline within 60 days of launch.
  • Optimized in-car UX for millions of drivers through A/B testing and usability studies, driving a ~20% increase in Android app engagement.
  • Built analytics pipelines in SQL and QuickSight to track adoption, engagement, and KPIs, cutting reporting costs by $200K per year.
Apr 2022 — Jun 2022

Data Science Consultant

Netflix
  • Built predictive models to forecast customer behavior and drive growth for Netflix's mobile gaming service, tackling whether Netflix should enter gaming.
  • Engineered a market-intelligence database by scraping 3.2M+ app data points, identifying competitive gaps in the mobile gaming landscape.
  • Influenced product strategy by presenting data-backed growth recommendations to stakeholders, bridging internal metrics and market reality.
Dec 2021 — Mar 2022

Data Science Consultant

AT&T · Remote
  • Analyzed hundreds of GB of customer data in Palantir Foundry with PySpark and SQL to study churn and ad communication.
  • Segmented 250M+ customers into 7 distinct segments using K-modes, enabling more personalized retention strategies.
M.S. Business Analytics — Cal Poly, San Luis Obispo
B.S. Industrial Engineering — Cal Poly, San Luis Obispo
Download full resume

Let's build something great.

I'm exploring new product opportunities. If you're hiring or just want to chat, I'd love to hear from you.

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