Pre-screened and vetted in California.
Executive Digital & Engineering Leader specializing in D2C omnichannel and AI transformations
Executive technology leader specializing in AI, LLMs, search, and platform engineering
Executive Technology Leader specializing in AI/GenAI platforms and digital transformation
Senior Full-Stack Engineer specializing in AI automation and LLM-powered products
Executive Engineering Leader specializing in AI-native healthcare platforms
Executive Technology Leader (CTO/SVP) specializing in AI-native SaaS and platform modernization
Principal operator and finance leader specializing in structured finance and operating assets
Executive HR & People Leader specializing in culture transformation, talent, and organizational development
“Operations/people-ops leader focused on early-stage, growth, and turnaround environments, with hands-on experience implementing UKG (HRIS) and Lever (ATS) to scale without adding headcount. At Niagen Bioscience, drove a 25% improvement in time-to-fill and cut administrative workload by 30% in 6 months, led a company-wide optimization initiative to reduce silos, and coached a VP of Finance into a successful CFO transition that included restructuring the finance org and upgrading key talent.”
Executive Merchandising Leader specializing in fashion buying and e-commerce growth
“VP-level fashion merchandising leader (Men's at Fashion Nova; also experience at "Protein One") with deep expertise in fabric-led assortment strategy, OTB/line planning, and factory cost engineering. Demonstrated outsized impact on margin, lead times, and retention (e.g., +600 bps GM, lead time 120->35 days, retention +22%) and has executed celebrity collaborations with structured royalties and co-sponsored marketing activations.”
Executive media CEO specializing in franchise strategy, entertainment, gaming, and AI
“Entrepreneurial entertainment executive who built a unique company combining best-in-class content strategy and data analytics, scaling it to $4.5M average annual revenue ($5.5M peak) without outside capital at launch. Has hands-on experience leading M&A and capital raises, including interactions with Sequoia, and stands out for building new business models and premium service offerings in traditionally risk-averse environments.”
Executive engineering leader specializing in AI platforms, LLMs, and healthcare SaaS
“Senior engineering leader in healthcare AI who combines org scaling with deep hands-on architecture work. At DriveHealth.ai, they helped evolve isolated workflows into a production-grade intelligent platform, standardizing a shared RAG+DCE architecture while leading teams of 50+ across engineering, AI, platform, QA, and DevOps.”
Mid-level Product Manager specializing in developer tools and cloud infrastructure
“Product leader with a developer-to-PM background who has owned platform, infrastructure, and data products at IBM, HashiCorp, Honeycomb, and Airbyte. Particularly strong in ambiguous 0-to-1 work: at Airbyte, they identified data orchestration as a strategic expansion area, drove discovery across OSS/self-serve/enterprise users, and launched an initial version that reached about 20% activation in the target cohort.”
Director of Engineering specializing in cloud platforms and enterprise SaaS
“Engineering leader focused on large-scale enterprise SaaS and MDM platforms, with experience modernizing monoliths into microservices, improving reliability, and scaling systems to support 15M devices across AWS and Azure. Stands out for combining deep platform architecture work with strong org-building: managed teams up to 45 globally and built a 0-to-1 platform services team to 22 people in under a year.”
Mid-level investment analyst specializing in technology and AI research
“Built ZenDraft and brings an operator's lens to founder sourcing and evaluation. Demonstrated ability to run structured outbound, convert cold outreach into product-shaping conversations and pilot introductions, and manage an early-stage investment-style pipeline with clear decision frameworks.”
Executive AI engineering leader specializing in agentic AI and enterprise platforms
“Bay Area engineering leader and startup co-founder with a rare mix of deep hands-on architecture experience, large-scale people leadership, and cross-functional product ownership. He helped launch GE Digital's industrial IoT efforts, holds multiple patents in the space, has scaled teams to 60-70 people, and has led both enterprise platform modernization and AI startup product development.”
Executive SaaS & AdTech CEO specializing in AI attribution and mobile growth
“Mobile-tech entrepreneur building AppQ (mobile.appq.ai), an agentic mobile SDK that optimizes mobile UX in real time to improve Day 1/Day 7 retention by adjusting levers like ad frequency, difficulty, messaging, and artwork. Previously co-founded an SDK-led mobile ad network (invented push notification ads), scaled to 300K+ SDK integrations, and grew revenue from $7M in 10 months to $50M the following year before exiting in 2020.”
Director of Engineering specializing in AI/ML platforms and cloud systems
“Senior engineering leader from IBM who has built and scaled enterprise AI/GenAI platforms across hybrid and multi-cloud environments, combining executive-level org leadership with hands-on debugging of production distributed systems. Particularly compelling for Director/VP roles needing someone who can unify architecture, platform strategy, and engineering execution across multiple teams.”
Executive CTO & AI Systems Architect specializing in cloud platforms and RAG products
“Technology leader with experience owning enterprise roadmaps and executing large-scale platform standardization during rapid M&A—most notably driving a tech roadmap across a 37-company portfolio at Regent, tackling technical debt and security gaps via unified cloud-native architecture, IAM/logging, CI/CD, and a global SRE model. Previously scaled an Adobe engineering org from 8 to 40+ across four regions, implementing clear org design, KPIs, and an extreme-ownership culture to support 24/7 operations and enterprise needs.”
Director-level Technology Leader specializing in IoT, cloud platforms, and wireless networking
Executive Business Operations & Chief of Staff specializing in finance, data operations, and cost optimization
Executive SaaS CEO and operator specializing in AI-first growth and Rule of 40 performance