James Nance
Technology Executive | Director of Product & TPM | AI Platforms, Cloud & Spatial Computing | Ex-Meta, Amazon, Microsoft
- Role
- Group Manager, Technical Program Management - Reality Labs at Meta
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About James Nance
I\'ve spent my career at the intersection of emerging technology and large-scale product delivery — from co-founding Wizard101 (30M+ players,$1B+ lifetime revenue) in the early days of online gaming, to pioneering HoloLens first-party experiences at Microsoft, to defining AI strategy across an 1,800-person organization at Meta Reality Labs.That thread — emerging tech, 0-to-1 creation, and the teams that make it real — connects everything I\'ve done across gaming, spatial computing, enterprise AI, and consumer hardware.At Meta, I own product vision and success metrics for AR/VR feature programs, defining OKRs and KPIs across Reality Labs and directly leading program management leads and managers across a 300-engineer AI team. I\'ve driven $400M+ in AI efficiency savings, launched LLM-powered productivity tools org-wide, and established OKR frameworks adopted across the full 1,800-person organization.Credentials:· Named inventor on 6 patents in AI/ML, AR/VR, Computer Vision, and Interactive Systems· NASA Software of the Year (2018) — OnSight, NASA\'s operational Mars exploration tool· Unity Award: Best AR/MR Experience — Destination: Mars (Kennedy Space Center, with Buzz Aldrin)· Speaker, Microsoft Build 2018 — \"Spatial Analytics for Mixed Reality\"· Advisor & Investor, Feeds.AI — AI-powered entertainment platform (gaming, sports, creators)I\'m open to conversations about senior product and program leadership at the intersection of AI, hardware, and consumer technology.
Experience
Group Manager, Technical Program Management - Reality Labs
Apr 2024 — Present · US
Directed the development of core AR/VR features for flagship wearables, including Quest and Ray-Ban Meta. • Managed a 300-engineer organization focused on synthetic data and 3D scene understanding, achieving 20%+ efficiency gains. • Launched LLM-powered productivity tools that automated program reviews and OKR tracking, contributing to $400M+ in AI efficiency savings.
Education
The University of Texas at Austin
General Studies
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