Pre-screened and vetted.
Executive Strategic Transformation & Chief of Staff leader in beauty, insurance, and financial services
Executive Technology Leader specializing in Cloud, Data Platforms, and AI/ML
Director-level pricing and finance leader specializing in commercial strategy and analytics
Executive Enterprise Technology Transformation Leader specializing in cloud, platforms, and operations
Senior Data Scientist specializing in large-scale ML systems and recommendations
Executive Transformation & Risk Leader specializing in AI governance and enterprise modernization
Director-level sales and alliances leader specializing in cloud, AI, and hyperscaler partnerships
Senior Software Engineer specializing in data platforms, APIs, and healthcare systems
Executive CIO/CTO/CISO specializing in cloud, AI/ML, and cybersecurity transformation
“Fractional CTO and AI/ML consultant at Clover Health with deep insurance domain experience (15 years as CTO/CISO/AI). Has spent significant time in PE/VC-backed environments (including Aquiline Capital Partners and Apollo Group), designing and engineering platforms while delivering against budgets, audits, and regulatory compliance. Recently helped build an insurance startup (2020–2025) and is now seeking a full-time role at a startup.”
Executive engineering leader specializing in AI-native transformation and cloud modernization
“Senior software engineering leader who owned the architecture and delivery of a major VerizonWireless.com transformation, migrating an ATG monolith to Spring Boot/Java microservices with an event-driven architecture across 13 domains. Combines hands-on system design depth with business-facing architecture leadership and team scaling in complex enterprise environments.”
Senior Data Engineer specializing in real-time data platforms and lakehouse architectures
“Senior, product-focused engineer who has built real-time customer-facing web applications and a microservices backend (TypeScript/React/Node) using RabbitMQ, MongoDB, and Redis. Demonstrates strong operational maturity (idempotency, tracing/observability, backpressure) and built an internal console that became the primary tool for debugging, replaying jobs, and managing system behavior.”
Director of Security & Data Platform Engineering specializing in AI-driven cloud security
“Player-coach engineering leader focused on scalable data security scanning and risk detection in hybrid cloud, owning architecture and core implementation of an incremental/parallel DSPM scanning engine. Shipped production improvements including 60% lower scan latency and 30% fewer false positives, with strong emphasis on correctness under concurrency, multi-tenant observability (SLOs/burn-rate alerts), and disciplined rollout practices (feature flags, shadow scans, canaries).”
Executive General Counsel / Chief Legal Officer specializing in public company governance and M&A
“Sitting General Counsel/executive leader who helped post-IPO Coursera transition from founder-led to scaled global enterprise by embedding legal, compliance, governance, and risk management into the operating model (including committees, OKRs, and automated compliance/contract tooling). Also led high-stakes international response work (coordinated exit from Russia) and brings prior Siemens North America supply chain/procurement leadership experience in a blended business/legal role.”
Executive Engineering Leader specializing in scalable streaming, media supply chain, and AI operations
“Tech executive with Disney experience who has repeatedly scaled and restructured engineering organizations (from 4 to 30 and up to 100+), using OKRs/KPIs to drive business-aligned roadmaps. Hands-on with architecture and platform strategy, including adopting MongoDB Atlas to centralize transactional data and building shared core services (security/permissions, auditing, compliance) to increase product velocity across distributed teams.”
Executive engineering leader specializing in AI, data platforms, and cloud SaaS
“Senior engineering executive with a rare mix of VP-level people leadership and deep hands-on architecture across cloud-native and AI platforms. He led secure hybrid SaaS design at Promethium, built GenAI-powered analytics with LLMs/RAG, and translated customer needs into product wins including the largest deal in company history and a PLG motion that generated 100+ leads.”
Executive operator-founder specializing in GTM, revenue strategy, and AI-native commercial operations
“Operator with Deloitte consulting experience supporting PE/VC-backed portfolio companies and current experience inside a VC-funded Series C scale-up. Building a bootstrapped D2C women’s telehealth brand (Petty Pills) with two initial SKUs, deployed tech stack, and white-labeled clinical/compliance infrastructure, leveraging AI tooling to keep operations lean while focusing on full-time operator roles.”
Executive Data & AI Leader specializing in healthcare analytics transformation
“Operations/finance transformation leader with experience in large healthcare organizations (e.g., PacifiCare and KP), brought in to stabilize and modernize operating cadence during high-change periods. Known for applying lean/agile methods (value-stream mapping, 2-week sprints, kanban, RACI) to build KPI single-sources-of-truth and scalable analytics operating models, delivering 40%+ cycle-time/rework reductions and improved forecasting/decision velocity.”
Executive CISO/CTO specializing in global cybersecurity, risk management, and compliance
“Founder building a digital transformation startup that combines execution, GCC/center-of-excellence setup to fund transformation via labor arbitrage savings, and an AI/data analytics platform with live dashboards. Previously delivered multiple Fortune 500 transformations and created fraud-detection value by reusing in-vehicle cybersecurity data to identify warranty and odometer rollback fraud; currently raising capital through executive/board networks and Silicon Valley investors.”
Mid-level AI/ML Engineer specializing in LLM and enterprise generative AI
“ML/AI engineer focused on taking LLM systems from experimentation to reliable production, including enterprise copilot and RAG-based knowledge retrieval use cases. Stands out for combining data pipelines, model training, inference optimization, automated evaluation, and safety guardrails, with cited impact including 20% throughput gains and 30% less manual evaluation effort.”
Junior Full-Stack Engineer specializing in AI automation for FinTech and logistics
“Full-stack product engineer focused on operational automation with AI in invoice, billing, and shipment workflows. Has shipped production systems using OpenAI APIs and AI agents that materially reduced manual work and cut bill transcription costs by 99%, while also improving UX through human-in-the-loop interfaces and performance tuning.”
VP Software Engineering Manager specializing in full-stack platforms, data, and AI in FinTech
Executive AI & Data Technology Leader specializing in buy-side and capital markets platforms