Group Product Manager · AI Product & Platform

I turn ambiguous AI capabilities into products people can trust, adopt, and rely on.

I lead product for Intuit's AI Experience Platform — the layer that lets 100+ teams ship AI-native experiences across TurboTax, QuickBooks, Mailchimp, and support surfaces, at 100M-user scale. Before Intuit, I led Local Search experiences at Google serving ~8% of all Search traffic. I still build and ship products hands-on.

Open to senior PM & product leadership roles San Francisco Bay Area See the work →
David Fu
01

Point of view

In AI, yesterday's flagship becomes today's table stakes. The interesting work has already moved past "how do we add chat?" The next product problems are harder, and they're about the system around the conversation:

Third-party AI outside your product · signed-out In-product signed-in Workflow Assistant Support human context context

That's the space I'm building in: AI products with deep platform leverage — experiences that move smoothly across surfaces, workflow automation, and AI-native developer experience.

02

Selected work

Intuit · AI Experience Platform
· Apr 2024 – Present
· Group Product Manager

From standalone chat to connected agentic workflows

The platform behind Intuit's AI experiences — the first win was a reusable conversational surface, themeable and deployable without every team rebuilding the same stack. The harder, more durable work was turning it into connected agentic workflows that carry user context, hand off across surfaces, and let product teams build AI-native experiences fast.

Chat shell Screen & user context AI-native DevEx
100M-user
scale
100+ teams
building on it
5 PMs · 80+ XFN
team I lead
Intuit Intelligence (live) →

Design partner: Robert Ritacca ↗

Intuit Intelligence conversational AI surface
Morning Ready · Solo · 0→1
· 2026
· Product, design & build

A consumer product, shipped solo in ~3 days

An AI product for parents — what to pack, what's happening, what needs attention — built concept to production: product, design, full-stack, and infrastructure. Explainable recommendations, a correction feedback loop, and trust signals — not just a wrapper around a model.

Product judgments Craft & polish Full-stack build
Live product → Case study →
Morning Ready — Tomorrow's brief daily plan
Google · Search · Local
· Jun 2020 – Mar 2024
· Product Manager

Local Search at ~8% of Search traffic

Owning Local Places experience — restaurants, landmarks, businesses — across mobile and desktop, in a mature, high-stakes Search vertical.

1B users
scale
10+ teams
built on it
30 engineers
team I led
User growth Consumer product Trust & compliance
Google local Place card for a restaurant
Local Place card · visual discovery
03

Experience

Apr 2024 — Present
Group Product Manager · Intuit

Lead Intuit's AI Experience Platform, enabling 100+ teams to build, customize, and ship AI-native experiences across Intuit products and third-party LLM surfaces. Drive strategy, roadmap, and metrics across 80+ Eng/UX/TPM, and built a team of 5 PMs.

Jun 2020 — Mar 2024
Product Manager · Google Search

Owned Local Places experiences at ~8% of Search traffic. Shipped visual discovery, GenAI Place Answers, and EU DMA compliance experiences; partnered with 30 engineers and 10+ cross-functional teams.

Jun 2015 — May 2020
Product Manager · Google Workspace & Corporate Eng

Led semi-structured data features for the Connected Sheets beta (BigQuery access from Google Sheets). Built internal legal and enterprise workflow tools, including a contract platform for 20K users that lifted satisfaction from 40% to 70%.

2009 — 2015
Earlier · PwC & MicroStrategy

Advised clients on operational efficiency and regulatory compliance; earlier, evaluated OLAP/BI product quality and release risk for enterprise software.

Education
MS, Industrial & Systems Engineering — Virginia Tech
BS, Automation Engineering — Tsinghua University
04

How I work

I lead from first principles and stay close to the craft — hands-on from the first prototype to the roadmap.

01

Start from the problem, with a point of view

I begin with the original user problem — from data and research, or from talking to customers directly — then form my own read on it and the approach before bringing it to the team, so there's something concrete to push on and sharpen.

02

Hands-on, end to end

I stay in the work from strategy and idea through prototype, alignment with Eng and partner teams, and into the roadmap. With my PMs, I align on direction out loud, then divide and conquer so the team moves fast in parallel.

Strategy / idea → Prototype → Align with Eng & XFN → Roadmap
03

Transparent and direct

I'd rather say the hard thing early and plainly. Clear beats comfortable.

05

Let's build the layer where AI gets real.

Open to senior product roles in AI products and platforms. The fastest way to reach me is email.

david.zhen.fu@gmail.com LinkedIn ↗