Pre-screened and vetted.
Executive Technology & Product Leader specializing in AI, Cloud, and Cybersecurity platforms
Executive Technology Leader specializing in GenAI, cloud infrastructure transformation, and enterprise modernization
Principal/Senior Architect specializing in AI platforms and cybersecurity
Executive Digital & Technology Leader specializing in enterprise transformation, IoT, and e-commerce
Director-level Customer Success & Program Leader specializing in GRC, privacy, and cybersecurity SaaS
Senior investment and operations professional specializing in early-stage FinTech and PropTech
“Early-stage investor with PropTech exposure who sources founders through conferences, VC networks, and thesis-driven outbound. Demonstrated ability to turn cold founder interactions into multi-month relationships by providing practical support on financial models and pitch decks, while applying a thoughtful lens on product-market fit and ICP in investment decisions.”
Executive product and business leader specializing in AI, semiconductors, and growth strategy
“Candidate indicated they have a business plan or startup and referenced Gimmelfund.com, a VC fund in Palo Alto. They also stated they are very familiar with the venture capital, studio, and accelerator landscape, but provided limited detail during the screen.”
Executive Technology & Strategic Operations Leader specializing in AI governance and cybersecurity
“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.”
Executive CTO/CIO specializing in FinTech, cloud transformation, and cybersecurity
“Banking/credit-union technology executive (CTO/CTIO) who has led modernization and product delivery through major change, including a post-merger roadmap that helped grow a credit union from $600M to $1.5B in 3 years. Hands-on leader who drove cloud microservices/API architecture, introduced CI/CD, and accelerated releases from quarterly to weekly while scaling teams and operating effectively with distributed/remote orgs.”
Mid-level Software Engineer specializing in backend, infrastructure, and data platforms
Executive CEO and ex-McKinsey Partner specializing in transformation, P&L leadership, and AI-driven growth
Director/Principal Engineer specializing in distributed systems, cloud platforms, and GenAI
Executive Cybersecurity & Resilience Leader specializing in Payments and FinTech
Senior Machine Learning Engineer specializing in ranking, recommendation, and generative AI
Principal Data Scientist specializing in Generative AI and security analytics
Executive CTO/CDAO specializing in cloud-native platforms, data engineering, and AI security
Executive technology leader specializing in SaaS, AI/ML, and cloud platforms
Executive CIO and transformation leader in global ERP, modernization, and M&A integration
“Board member/advisor to a mid–$10M revenue company aiming for $100M+, focused on portfolio trimming, analyst-quadrant positioning (Gartner/Forrester/ISG), and building scalable commercial operations. Has driven org redesign (separating marketing and sales), CRM rollout (Salesforce) alongside existing Dynamics accounting, and coaches founders to adopt metrics, messaging discipline, and delegation for global scale.”
Executive CIO/CDO/CTO specializing in digital transformation, data/AI, and cloud modernization
“Operations/process improvement leader with executive experience at Nestlé Purina, applying Lean/value stream mapping to improve IT service response times and user satisfaction. Led the integration of Merrick Pet Food into Purina, addressing scaling constraints by redesigning outdated processes. Also served as a technology mentor to the Purina executive team/CEO to improve decision-making on technology investments.”
Director-level Product & Engineering Leader specializing in AI/ML, cloud platforms, and digital transformation
“Senior engineering/technology leader who has defined and delivered a multi-year roadmap to modernize platforms and embed AI, leading global teams through cloud-native and microservices migrations on AWS/Azure. Demonstrated measurable outcomes including 99.99% uptime, 40% fewer incidents, 25% faster delivery, 5x scalability, and $30M in new business opportunities, while scaling a 100+ person distributed org with strong OKR-driven execution and mentorship culture.”
Senior AI/ML Engineer specializing in LLMs, multimodal AI, and scalable MLOps
“ML/NLP engineer with experience at NVIDIA and Cruise building production-grade AI systems across genomics/biomedical research and autonomous vehicle data. Has delivered multimodal LLM pipelines, large-scale entity resolution, and hybrid semantic search (BERT embeddings + FAISS + Elasticsearch), with measurable impact (≈40% accuracy/retrieval gains; ≈30% data consistency improvement) and strong MLOps practices (Kubernetes, CI/CD, MLflow, Prometheus/Grafana).”
Engineering Manager / Tech Lead specializing in large-scale distributed systems
“Software engineer focused on personalization and data/ML infrastructure who built a GenAI/LLM-driven carousel ranking system end-to-end, delivering a reported 6–7% order-rate lift. Also designed large-scale personalization ETL (15PB for ~100M users) and created a custom Airflow operator to integrate with Databricks under enterprise version constraints, with hands-on on-call and data-quality reliability improvements.”
Executive B2B SaaS Growth Leader specializing in GTM, product marketing, and SaaS operations
“Entrepreneurial healthcare operator currently serving as investor, co-founder, and COO of Mednevo, a startup combining AI with physician oversight rather than replacing doctors. Brings experience from 8 startups, prior capital raising, and a practical approach to healthcare AI trust, including doctor-controlled AI shutoff, HIPAA-minded compliance, and physician validation of LLM outputs.”