Pre-screened and vetted.
Senior AI/ML Engineer specializing in applied AI and scalable backend systems
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.”
Director-level Engineering Leader specializing in mobile, video, and consumer platforms
Staff-level AR/VR and mobile engineer specializing in immersive video platforms
“Game engineer with hands-on experience shipping systems for Horizon Worlds, including a notification platform that unlocked friending, invites, and achievement/prize UX. Also brings applied LLM gameplay experimentation, multiplayer networking/debugging expertise, and cross-platform VR/mobile experience spanning Meta Quest and Android.”
Executive technology architect specializing in cloud platforms, SRE, and enterprise SaaS
Director-level AI/ML Product Leader specializing in computer vision, robotics, and AR/VR
Executive Digital & Technology Leader specializing in enterprise transformation, IoT, and e-commerce
Staff Software Engineer specializing in backend systems for healthcare and FinTech
Senior Software Engineer specializing in backend, AI workflows, and distributed systems
Executive Technology Leader specializing in cloud, datacenter operations, and AI strategy
Staff Full-Stack AI Engineer specializing in FinTech and Enterprise SaaS
“Full-stack engineer with Yahoo Finance experience building AI-powered investment and analytics features. They combine modern TypeScript/React/NestJS development with strong backend systems skills in PostgreSQL, Redis, Kafka, and Kubernetes, and have driven architectural improvements from synchronous workflows to event-driven microservices in a high-traffic financial environment.”
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.”
Mid-level Software Engineer specializing in backend, infrastructure, and data platforms
Executive Technology Leader (CTO) specializing in AI-Native Enterprise SaaS and Platforms
Executive engineering leader specializing in AI/ML platforms and SaaS product development
Senior Software Engineer specializing in full-stack systems and cloud infrastructure
Executive Engineering Leader specializing in data platforms, AI/ML, and fraud detection
Senior Software Engineer specializing in Applied AI, Identity, and Distributed Systems
Senior Technical Program Manager specializing in AI, cloud infrastructure, and distributed systems
Director of Engineering specializing in AI/ML, GenAI, and cloud platforms
Executive CTO/CDAO specializing in cloud-native platforms, data engineering, and AI security
Executive Technology Leader specializing in Wealth Management Platforms
“Technology leader from Franklin Templeton who modernized wealth management tech by launching client-facing digital web/mobile experiences via a phased data-warehouse-to-real-time strategy, while aligning internal CRM visibility for front office teams. Scaled an engineering org from 15 to ~250 (15 teams) and drove a shift from waterfall to Agile with microservices/micro-frontends and Jira-based transparency to improve delivery velocity.”
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.”