Pre-screened and vetted.
Executive Finance & Strategy Leader specializing in Big Tech and capital allocation
“Operations/finance leader who joined Google during a rapid growth phase (circa 2007–2008) and built foundational analytics and governance systems across revenue, partnerships, and global marketing finance. Known for shifting organizations from qualitative/"feel" decisions to metrics-driven quota setting, deal evaluation (including cannibalization and margin thresholds), and ROI-based marketing budgeting while aligning senior stakeholders like CFO and CMO.”
Senior Product Manager specializing in AI-powered products and responsible AI
“Mission-driven product and program leader who built WhatsApp’s talent inclusion infrastructure from scratch and later applied AI at Google to scale inclusive product evaluation across 25+ teams, including Gemini. Brings a rare mix of product systems thinking, human-centered AI judgment, and lived experience growing up in public housing that deeply informs their focus on equity, access, and accountable technology.”
Executive engineering leader specializing in security, privacy, and high-scale infrastructure
“Veteran operator from top-tier tech companies including PayPal, LinkedIn, Stripe, Facebook, and Merge, now seeking the right startup idea to found. Brings hands-on angel investing experience across 5 startups in the EU and US plus additional exposure through X-Stripe Angels, giving them both operator and investor perspective.”
Senior Backend Engineer specializing in AWS cloud-native systems and data workflows
Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS
Senior Software Engineer specializing in AI platforms, payments, and consumer systems
Senior Software Engineer specializing in AI, FinTech, and cloud platforms
Senior AI/ML Engineer specializing in LLM applications, RAG systems, and MLOps
Executive AI technology leader specializing in agentic AI and enterprise transformation
“Candidate is exploring a startup in the autonomous agentic AI space and is approaching it with a disciplined founder mindset. They are evaluating market opportunity, competition, customer pain, ROI, technical feasibility, and MVP options while already speaking with potential customers across verticals to validate needs and buying processes.”
Principal Product Leader specializing in AI-powered enterprise and marketplace platforms
“Product leader with experience at Zillow, Amazon, and Chewy, focused on high-scale ML and UX-driven product improvements. Has led end-to-end rebuilds and launches that delivered measurable business impact, including a 23% conversion lift in lead routing, 40%+ reduction in delivery-related customer contacts, and 10%+ ecommerce conversion gains.”
Executive Legal Leader specializing in government investigations, white collar defense, and governance
Executive Engineering Leader specializing in AI/ML platforms and cloud-scale distributed systems
“Senior engineering/technology leader with experience driving board-backed, multi-year platform transformations in retail commerce (American Eagle) and scaling ML/product delivery platforms at Amazon Alexa. Known for data-driven build-vs-buy decisions, org scaling (6→80), and measurable outcomes including 98.5%→99.9% uptime, 234 experiments generating ~$200M revenue lift, and increasing delivery velocity from 1.5 to 30 features/week while transitioning to DNN/large-model architectures.”
Director-level Product Management leader specializing in cybersecurity, cloud, and AI governance
“Senior product leader with substantial end-to-end build experience across Microsoft, Amazon, NCR, and a current AI startup. Particularly notable for creating a machine-readable compliance platform at Microsoft, shipping AI-enabled support workflows, and combining enterprise-scale product rigor with a human-centered view of personalized AI.”
Director-level product leader specializing in AI, data, and FinTech products
“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.”
Executive Venture Capital Investor specializing in AI, robotics, and energy infrastructure
“Clean energy founder (Ishan "Summer") who built an energy storage/battery materials venture in 2022 focused on data centers and factories, raising $10M split between venture capital and government funding. Demonstrates end-to-end venture execution: multi-year market observation, team formation, customer/market validation, research collaboration, prototyping, and channel-partner-led go-to-market.”
Executive engineering leader specializing in cloud infrastructure, data platforms, and enterprise SaaS
“Senior Microsoft engineering leader who has led globally distributed orgs of up to 250 engineers while staying deeply technical in large-scale platform architecture, reliability, and AI systems. Notable work includes modernizing Teams infrastructure serving massive global scale and incubating an internal AI pair-programmer/knowledge-graph platform over 650M lines of code, plus helping launch foundational Copilot search and retrieval APIs.”
Mid-level AI/ML Engineer specializing in LLM optimization and real-time fraud/risk modeling
“ML engineer with 5 years at Stripe building and productionizing real-time fraud detection at massive scale (3M+ transactions/day; $5B+ annual payment volume). Delivered measurable impact (22% accuracy lift, 18% loss reduction, +3–5% authorization rates) and has strong MLOps/orchestration experience (Docker, Kubernetes, Airflow, MLflow, CI/CD, monitoring/rollback) plus a structured approach to LLM agent/RAG evaluation.”
Director of Software Engineering specializing in cloud platforms and enterprise systems
“Engineering leader with deep distributed-systems expertise who led Oracle's replacement of a legacy Fusion Applications authorization service with a cloud-native Go/Kubernetes RBAC platform delivering sub-10ms latency. Combines hands-on architecture depth with org-building experience, having grown a geo-distributed team from 4 to 26 and led managers, architects, and cross-functional delivery across Oracle and Microsoft environments.”
Executive Operations & Program Management Leader specializing in Legal Ops and Tech
Executive general manager and CEO specializing in SaaS, e-commerce, and marketplaces
Senior Software Engineer specializing in full-stack cloud and FinTech platforms
Senior AI/ML Engineer specializing in production AI systems for healthcare and enterprise