Vetted Vice President of Engineerings

“Engineering leader with experience rebuilding a 35-person organization after acquisition, spanning operations, QA, and multiple software teams. Combines hands-on technical judgment in areas like search, AI chatbot integration, and AWS operations with strong organizational leadership, including process modernization, quality embedding, and customer-feedback-driven AI product improvement.”

Paiman Nodoushani

Screened

Executive CTO specializing in AI-powered transformation for enterprise SaaS

New York, NY35y exp

“Former Cisco professional who successfully pitched and got funding for adding virtualization to access routers to enable third-party application development, framing the opportunity with clear revenue upside and risk management. Highly interested in AI—especially agent-based development—and believes it lowers the barrier to building and shipping new products with small, high-caliber teams.”

Cameron Williams

Screened

Executive IAM leader specializing in Zero Trust and identity security

Littleton, CO15y exp

“Hands-on technical founder building a new startup that is only weeks away from MVP and first design partner acquisition. Previously raised capital for an earlier venture, OverWatchID, and has again secured angel backing plus personal seed investment. Brings accelerator experience (SecureSet and Plug and Play), board-level VC exposure, and a strong track record across the full zero-to-one journey from product vision through early enterprise sales.”

Christopher Kirby

Screened

Executive engineering leader specializing in platform engineering, AI systems, and SaaS

Detroit, MI24y exp

“Senior engineering executive who has repeatedly rebuilt and scaled product engineering organizations in high-growth environments, including restarting Rocket Auto’s stack from scratch and hiring 100+ engineers during StockX’s hypergrowth phase. Particularly differentiated by being unusually hands-on for an executive leader, with active open source work and a strong focus on AI-native engineering workflows, developer automation, and modern architecture transformation.”

Sudhir Nelvagal

Screened

Executive Product & Engineering Leader specializing in Cloud/SaaS, AI/ML, and Cybersecurity

Cary, NC30y exp

“Engineering/technology leader with experience at GE, Owl Cyber Defense, and Team Cymru, focused on translating VOC and business strategy into iterative product/technology roadmaps. Led delivery of a Continuous Threat Exposure Management/asset discovery capability integrated with threat intel, reaching GA in ~2 quarters and generating ~$300K in pre-GA orders. Has scaled engineering organizations significantly (to ~100 FTE) and driven big-data security architectures using Kafka and ClickHouse with data-driven cost/performance tradeoffs.”

“Senior engineering executive who has spent the last decade leading large-scale platform modernization while staying deeply hands-on in architecture, debugging, and code reviews. He has led 120+ person organizations, built cloud-native SaaS and identity platforms across regulated and enterprise domains, and ties engineering decisions directly to revenue outcomes, including contributing to Wind River's $1B+ milestone.”

Neil Gariepy

Screened

Executive technology leader specializing in AI, cloud operations, and information security

Portland, OR26y exp

“Veteran software engineering executive with ~20 years of experience who grew from hands-on IC and release engineer into VP leadership across AI, security, infrastructure, and platform engineering. Particularly compelling for senior platform or CTO-track roles: he combines board-level strategy with real technical depth, including architecting Airship's multi-agent generative AI platform, leading GDPR/security programs, and scaling NetSuite infrastructure to 99.99% uptime across six global data centers.”

“Co-founded a Digital Loss Prevention (DLP) startup and raised $6M in seed funding by showcasing a controlled, laptop-based technology demo. Post-funding, drove MVP planning and execution by sequencing operations and assembling a team to build an appliance MVP, using an iterative build/evaluate/visualize approach.”

“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.”

“Architecture leader from Disney who managed system, AI, and data architects while staying hands-on in solution design. Has experience building LLM-based video advertising products, designing Kafka-based real-time data architectures, and using MVP/POC approaches to align product and executive stakeholders.”