George Rhinehart

“Has experience in several VC-backed companies and is motivated by early-stage company building—especially the fast pace of early engineering and cross-functional "wearing many hats" as a startup grows. Some exposure to investors through prior roles, though has not fundraised directly; familiar with VC and has read about accelerators like Y Combinator.”

“Former CTO/CTPO with hands-on experience supporting co-founders through pre-seed to Series B fundraising, including investor technical due diligence and architecture deep-dives. In a logistics company, led a customer-interview-driven effort applying AI and workflow tools that cut customer busywork by ~30% in the first iteration, and has experience planning delivery with onshore/offshore teams (LATAM/India).”

Martin Wells

Screened

Executive AI & Technology leader specializing in AI, streaming, and gaming platforms

Seattle / Tacoma, WA18y exp

“Worked at an accelerator and served as an Entrepreneur in Residence, providing CTO and general founder support to startups. Although not pursuing entrepreneurship personally, they bring direct exposure to early-stage company building and accelerator ecosystems.”

“Executive/engineering leader with 18+ years at an established company who helped turn a top-3 telco data opportunity into meaningful revenue and a continuing partnership to launch new data-driven products. Brings a security/privacy-first approach (compliance assessments and documentation) and a structured North Star + technical planning method for building with limited resources; interested in joining an early-stage founding journey with the right vision and team.”

Frank Carrabba

Screened

Executive Software Engineering Leader specializing in SaaS product delivery and global SDLC

Seattle, WA35y exp

“Engineering leader with experience at Replenium, Savo Group, Radnet, and MatricOne, focused on business-aligned roadmaps and transparent, servant-style leadership. Notable for scaling teams quickly (18→36 in 6 months) and resolving high-impact performance incidents by leveraging DevOps data (reframed a suspected memory leak as a memory spike). Has led pragmatic build-vs-buy architecture decisions (waiting for a Microsoft transaction server) and uses Agile/CI/CD practices to drive consistent delivery.”