JM

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Open to Senior / Technical PM opportunities

Turning data into
products people use.

I'm Jared McMullen, a data-driven Technical Product Manager with 5 years of industry experience and 4 years in product management. I build and scale B2B SaaS, enterprise analytics, and AI-enabled products. Today I own Nexus Analytics at Gracenote, and I've managed products now running in 300M+ vehicles nationwide.

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5 yrs
Industry experience
4 yrs
In product management
300M+
Vehicles running a product I managed
$100M+
Revenue upside driven
About

A bit about me

I'm a Technical 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 products, enterprise analytics tools, and AI-enabled experiences, turning ambiguous customer needs into clear requirements, roadmaps, and shipped features.

I work best at the intersection of customers, data, and engineering. I currently own Nexus Analytics, Nexus Ads, and a suite of AI-enabled data products at Gracenote, partnering across engineering, UX, sales, marketing, program management, 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 and MCP-powered product experiences.

Product & Methodology

Product Strategy PRDs Roadmaps Agile / Scrum Jira GTM Strategy A/B Testing

AI & Data Products

MCP Protocol LLM Integration Gemini Claude BigQuery

Data & Analytics

SQL Python PySpark R REST APIs Data Pipelines Looker Tableau QuickSight Grafana
Selected work

Case studies

A few projects that show 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 pitch strategy and product requirements for a first-of-its-kind in-car ad measurement platform that combines iHeartMedia, Nielsen Audience Measurement, 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
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

I led the pitch strategy and requirements for a new measurement platform that stitches together three industry data sources into a single, OEM-ready offering.

  • Defined the product concept and value narrative for OEM and partner audiences
  • Combined iHeartMedia, Nielsen Audience Measurement, 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 gives automakers, including one of the largest OEMs in North America, insights from licensed Nexus AAOS app usage. I'm also defining its AI chat interface and the first-of-its-kind Nexus MCP Server.

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

Automaker product and marketing teams needed trustworthy, self-serve insights from in-car app usage, without waiting on analysts or wrestling with raw dashboards. In-car voice LLMs also lacked grounding in real-time automotive data.

My approach

I translated customer needs into product requirements, executive reporting workflows, and scalable analytics capabilities, then pushed the product toward AI-native interaction.

  • Owned Nexus Analytics end to end across requirements, reporting workflows, and roadmap
  • Defined an AI-driven chat interface so customers can ask natural-language questions of AAOS usage data and get personalized insights
  • Specced the Nexus MCP Server to ground in-car voice LLMs with real-time automotive data for more accurate, context-aware responses
  • Built a 3-year roadmap from customer feedback, usage data, and market research, and secured executive approval
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, plus a novel MCP integration extending the data into in-car voice experiences.

0→1 · Content Products · Automotive

Nexus News & Nexus Podcasts

Product Manager · Gracenote · 2024–Present

Product manager for Nexus News and Nexus Podcasts, two content products I built from the ground up using direct customer input. Nexus News is a white-label in-car news experience automakers embed in their vehicles, and Nexus Podcasts is an expanded podcast database covering the essentials drivers expect.

2
Products built ground-up
White-label
Automaker-ready
Voice
Powers "Hey, play the news"
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

I built both products from the ground up, grounding scope and features in ongoing automaker and customer feedback.

  • Nexus News: a white-label in-car product with local news radio, streaming news radio, and news podcasts that automakers brand as their own
  • Nexus Podcasts: an expanded podcast database covering the essentials, so the catalog drivers reach for is always available
  • Translated direct customer input into requirements, then shaped the roadmap around it
The outcome

Two new content products that give automakers turnkey, voice-ready news and podcasts, built to embed directly into vehicles and power requests like "Hey, play the news."

Growth · Experimentation · Analytics

In-Car UX Optimization & Analytics Foundation

Product Manager I · Gracenote · 2022–2024

Led end-to-end product analytics for Gracenote's automotive division and used product usage data to guide UX, sales, 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

I built the analytics foundation and ran experimentation directly against the in-car experience.

  • Built and maintained analytics pipelines in QuickSight and SQL to monitor engagement, geographic coverage, adoption, and customer-facing KPIs
  • Led A/B testing and usability studies on Figma prototypes to optimize in-car UI/UX
  • Partnered with product, engineering, sales, and customer-facing teams to turn 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, while giving the org a data backbone for product and GTM decisions.

AI Projects

Apps I built & shipped

Two iOS apps I co-founded and lead as CPO, built 0→1 with AI, shipped to the App Store, and refined with real usage data. 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 (CLI), shipping features end to end
  • AI meal detection & macro assessment by integrating the FDA food database and the FatSecret API
  • Auth & database on Supabase; paywall and customer metrics via RevenueCat; code and data hosted on GitHub
  • AI coach that turns a user's own training and nutrition 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 GitHub Google Analytics
5.0★
App Store rating
0→1
Idea to shipped
AI
Meal scan + coach
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 (CLI), 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; club & org accounts
  • Same modern stack: Supabase auth/database, RevenueCat paywall & metrics, 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 in 2026 at a 5.0★ rating.

Claude Code Supabase RevenueCat GitHub Maps / Routes Google Analytics
5.0★
App Store rating
0→1
Idea to shipped
2026
App Store launch
View on the App Store →
Experience

Where I've worked

Nov 2024 — Present

Product Manager II

Gracenote · San Francisco, CA
  • Own Nexus Analytics, Nexus Ads, and AI-enabled data products for automotive, integrated across 300M+ vehicles nationwide, spanning product strategy, enterprise BI, LLM integrations, roadmap, and execution.
  • Lead OEM pitch strategy and requirements for a 0→1 in-car ad measurement platform (iHeartMedia + Nielsen + Gracenote), with $100M+ revenue upside for large OEMs.
  • Define the roadmap for an AI-driven chat interface in Nexus Analytics and specced the first-of-its-kind Nexus MCP Server grounding in-car voice LLMs with real-time data.
  • Built Nexus News and Nexus Podcasts from the ground up using customer input: a white-label in-car news experience and an expanded podcast database that power voice requests like "Hey, play the news."
  • Built 3-year roadmaps from customer feedback, usage data, and market research, and secured executive approval; orchestrated 5+ cross-functional teams on biweekly release cycles.
Jul 2022 — Nov 2024

Product Manager I

Gracenote · San Francisco, CA
  • Led end-to-end product analytics for the automotive division, using usage data to guide UX, sales, GTM, and product strategy.
  • Built analytics pipelines in QuickSight and SQL to monitor engagement, coverage, adoption, and KPIs, cutting reporting costs by $200K/year.
  • Drove a ~20% increase in Android app engagement via A/B testing and usability studies on Figma prototypes.
Mar 2022 — Jun 2022

Data Science Consultant

Netflix
  • Tackled the strategic question of whether Netflix should enter mobile gaming, building predictive models to forecast customer behavior and the growth opportunity.
  • Web-scraped and analyzed external data on 3.2M+ apps across the App Store and Google Play to map the mobile gaming market.
  • Segmented customers from 7.6M rows of internal data using SQL, PCA, and k-means, then combined internal and external findings into actionable recommendations for leadership.
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 strategy.
  • Segmented 250M+ customers into 7 distinct segments using K-modes, enabling more personalized retention strategies for at-risk customers.
  • Synthesized findings and business recommendations into a concise report for the executive leadership team.
M.S. Business Analytics California Polytechnic State University, San Luis Obispo
B.S. Industrial Engineering California Polytechnic State University, 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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