Work with Jack
About
I'm a Silicon Valley engineering executive and founder. As Co-Founder & CTO of Silicon Valley Commerce, I built the pricing engines that supported the business from $0 to $125M/yr in revenue, managed a $5M+ engineering budget, and grew the engineering organization from 0 to 25. Earlier, I had an exit with Push Computing (acquired by MobileIron). I hold an M.S. from Stanford and a B.S. from Carnegie Mellon. I coach engineers, founders, and technical leaders on AI/ML engineering and applied ML systems (such as pricing), and on engineering leadership: building and scaling teams, managing budgets, hiring, and moving from IC to engineering manager to CTO.
Jack’s Leadership Coaching Qualifications
Experience level: Manager
I was Co-Founder & CTO of Silicon Valley Commerce, where I grew the engineering organization from 0 to 25, owned a $5M+ engineering budget, and led the pricing engines that supported the company from $0 to $125M/yr in revenue. Earlier I had an exit with Push Computing (acquired by MobileIron). I hold an M.S. from Stanford and a B.S. from Carnegie Mellon. I help engineers, engineering managers, and founders with hiring, team structure, budgeting, technical strategy, and growing into senior engineering leadership roles.
Jack can help with:
AI Strategy
Change Management
Coaching and Mentoring
Problem Solving
Why do I coach?
I've built and scaled engineering teams and ML-driven products from zero, and I want to help other technical founders and leaders skip the mistakes I made. I enjoy turning hard technical and organizational problems into clear, practical plans.
Work Experience
Founder
WuLabs
September 2026 - Present
Founder of WuLabs, an AI/LLM consulting practice. Build LLM agents and AI automations for clients; heavy daily user of Claude Code, Cursor and Codex. Fractional CTO engagements.
Co-Founder & CTO
Silicon Valley Commerce
January 2016 - August 2025
Co-founded and served as CTO of a 100+ person e-commerce company with $300M+ in sales. Built and led a 25-person engineering and data organization, hiring, managing and mentoring engineers. Built ML-driven pricing and demand-forecasting systems.
Education
Stanford University
Master's Degree (MS), Computer Science
Carnegie Mellon University
Bachelor's Degree (BS), Computer Science
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