JL Email
Portrait of Jake Liebert

Open to VP Product / Chief Product Officer roles

Jake Liebert

I build the AI platforms that Fortune 1 leaders bet hundreds of millions on.

Senior Director of Product, Walmart Navy Nuclear Officer Duke MBA

  • 150+ users on a shipped AI agent
  • PM org scaled 4 → 15
  • 60+ technical personnel led
$600M Enterprise impact target
150+ Finance users on shipped AI agent
 15 Product org scaled
$650B Operating scale · Walmart US
01 — Selected Work

Platforms leaders bet on.

FP&A AI Agent

2026 · AI Agents · FP&A

Hybrid chat + agentic AI for Walmart Finance. Launched to 150+ users, replacing fragmented Excel and SQL workflows.

Enterprise Forecasting Platform

2024–Present · ML Platform · Enterprise

Walmart's first unified ML forecasting system across Finance, Merchandising & Supply Chain. $600M impact target.

Assortment Optimization

2022–2024 · ML Platform · Assortment

ML store-item optimization delivering a 2% sales lift and a 30% model-accuracy gain; coordinated 60+ technical staff.

02 — Career

A decade of building at scale.

  1. 2025–Present

    Senior Director of Product Management, Forecasting & Planning

    Walmart

    Own Walmart US's enterprise forecasting platform across Finance, Merch & Supply Chain; launched the FP&A AI agent to 150+ users and scaled the PM org from 4 to 15.

  2. 2024–2025

    Director of Product Management, AI Forecasting

    Walmart

    Led 9 PMs building ML demand forecasting; shipped Gen AI explainability across planning workstreams.

  3. 2022–2024

    Principal Product Manager, Assortment Optimization

    Walmart

    ML optimization driving a 2% sales lift and 30% accuracy gain; coordinated 60+ technical staff.

  4. 2021–2022

    Senior Product Manager, eCommerce Strategy

    Walmart

    Grew 1P assortment ~20% (10K+ SKUs) in 6 months; launched analytics for 1,000+ internal users.

  5. 2014–2019

    Nuclear Submarine Officer

    U.S. Navy, USS Nevada (SSBN-733)

    Led 19 nuclear-trained technicians across 5 strategic deterrent patrols; qualified OOD and EOOW.

03 — Background

I learned to lead in a zero-error environment running nuclear submarine operations, sharpened decision science at Duke, and have spent the last decade turning ambiguous enterprise problems into AI platforms at Fortune 1 scale. I ship the product and the organizational change that makes it stick.

  • Duke University MBA, Decision Sciences (GPA 3.86)
  • U.S. Naval Academy B.S., Computer Science
  • Stanford Design Thinking
04 — Contact

Open to VP Product / CPO conversations. The best ones start with a hard problem.

[email protected]

LinkedIn Résumé (PDF)