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Vetted Stakeholder Management Professionals
Pre-screened and vetted.
Director of Operations & Sourcing specializing in luxury procurement and global logistics
afiz ekolaksono
Mid-level QA Engineer specializing in cryptocurrency trading platforms
“QA tester focused on mobile, web, and API testing for complex real-time products (including crypto trading and multi-exchange integrations). Uses AI to accelerate test case creation and to summarize/analyze large logs and API responses, and brings a certification-blocker-first mindset to bug prioritization under tight submission deadlines.”
Mid-level Video Editor specializing in YouTube and social media storytelling
Director-level Arts & Culture Administrator and Music Educator specializing in multimedia and production
Mid-level Project Coordinator specializing in monitoring & evaluation and cross-functional delivery
Oluwasayomi Adebanjo
Junior Web Developer specializing in React and full-stack JavaScript
“Frontend engineer focused on scalable React + TypeScript architecture and design-system style reusability, with demonstrated refactoring impact in legacy codebases. Delivered a high-visibility, filterable “Project Showcase” feature in 3 weeks (CMS-integrated, responsive, CI/unit-tested) and has implemented real-time UI updates via WebSockets for chat profile presence.”
Senior Strategic Operations Leader specializing in Technology & Product
Lois Kim
“BizOps/operations leader with experience in an Amazon startup environment, acting as the cross-functional "connective tissue" across Engineering, Product, Marketing, GTM, and Finance. Has owned founder-level initiatives to rapidly scale teams, implement KPI dashboards and operating cadences, and drive resource allocation decisions—resulting in earlier risk detection and a product reprioritization that saved 1 FTE of manual work.”
Jason Jackson
“National public safety sales leader with experience at Intrado, NGA, and Watson, specializing in 911/NG911 solutions and the complex funding and procurement dynamics that drive state and local government buying. Stands out for turning that domain expertise into outsized results, including growing Watson from $9.2M to $22M in a year and closing a roughly $74M statewide Virginia deal.”
Mid-level Data & Machine Learning Professional specializing in analytics and automation