Vetted Mentoring Professionals

“People operations and talent acquisition leader who was handpicked to launch the first Google Operations Center in the U.S., building the entire hiring and people-program infrastructure from the ground up (including selecting/configuring Greenhouse). Experienced scaling in new markets using deep talent intelligence and transferable-skill frameworks, and currently advises founders as a board member for a talent acquisition startup with a data-and-benchmarks-driven operating cadence.”

Paul Boehms

Screened ReferencesStrong rec.

Executive COO/CFO specializing in operational excellence, finance transformation, and M&A integration

Grand Rapids and Detroit, MI25y exp

“COO/operator with 12 years in law firm environments who founded an HR consulting startup under Clark Hill PLC, building the full go-to-market, pricing, and standardized service delivery playbooks (including a payroll-percentage fractional HR retainer model). Lean Six Sigma Black Belt with proven results in both manufacturing (raising rooftop AC output from 20 to 50 units/week) and professional services (cut ~1 week from invoicing to improve cash flow). Also runs financial operations for a fast-growing nonprofit sports club (600+ participants).”

Daozheng Chen

Screened

Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS

San Jose, CA12y exp

“Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.”

“Early-stage operator who has been with Narravance, Inc. since inception, building core internal functions (Legal, Compliance, HR) and designing COO/CFO capabilities. Hands-on experience with startup finance operations including cap table management in Carta, closing a SAFE, and creating/issuing a warrants program, alongside implementing a full policy/procedure framework and mentoring founders through high-stakes strategic tradeoffs.”

Jimmie Lee

Screened

Executive Technology & Strategic Operations Leader specializing in AI governance and cybersecurity

Greater Seattle Area, WA25y exp

“Serial entrepreneur who has launched 9+ bootstrapped businesses and has repeatedly raised capital as a CTO for other startups, leveraging a 7,000+ funder network and a sales-like fundraising pipeline approach. Deeply embedded in the VC/studio/accelerator ecosystem for 15+ years and currently mentors/advises with Stanford Venture Studios, Alchemist, and Ignyte in Dubai. Recently left Meta and is specifically targeting CTO roles for the next 5–10 years.”

“Product leader at Mastercard who has repeatedly built and commercialized AI-driven fraud products across payments and healthcare, including a patented ML approach and a fraud suite that won 30+ enterprise customers in its first year. Stands out for combining deep ML product judgment with workflow design, explainability, and human-in-the-loop thinking to drive real operational change.”

“Senior product leader with experience across Uber, Netflix, and Expedia, spanning HR tech and travel commerce. Has shipped and evaluated generative AI support experiences, navigated data/privacy trade-offs, and paired strong product judgment with measurable business impact, including a 30% lift in transactions and attach rate at Expedia.”

“Research-oriented ML engineer/scientist with deep experience applying generative models, adaptive optimization, and HPC infrastructure to complex physics analyses. Built reusable Python-based tools that replaced expensive Monte Carlo workflows, integrated across HTCondor/SLURM environments, and reduced analysis timelines by 2x while supporting broader team adoption and training.”

“Payments infrastructure engineer with experience at Stripe and Amazon, focused on building high-scale backend systems for checkout, routing, fraud, FX, and partner onboarding. Stands out for combining startup-style execution with enterprise-scale reliability, including a 25% reduction in payment flow errors and onboarding improvements from weeks to days.”