Vetted Product Managers

“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.”

“Operator-turned-aspiring founder with experience building CI, cloud, and AI businesses at Harness, including P&L ownership and 0-to-1 execution. Exploring an AI-native infrastructure/control-plane thesis focused on moving enterprise workflows from AI assistance to execution, with a strong emphasis on ROI, coordination gaps, and durable moats.”

Bryan Wang

Screened

Senior Business Operations & Chief of Staff specializing in growth and GTM for tech startups

New York, NY7y exp

“Chief of Staff at a high-growth startup who helped scale the company from Seed through Series B while owning fundraising/investor & board relations and building an enterprise GTM motion. Led the first enterprise launch by aligning CEO/CTO priorities under severe engineering constraints, then helped scale an enterprise account to 10-figures in GTV within six months. Known for executive leverage (CEO proxy), company-wide planning/communication systems, and operationalizing enterprise CS/AM processes.”

Karen Yan

Screened

Staff Product Manager specializing in platform and AI-driven consumer products

Chicago, IL13y exp

“Product leader with experience at Apple and Earnin, focused on redesigning core user journeys with strong UX judgment, experimentation, and applied ML. Notable wins include leading Apple Support's search-first triage experience that increased search usage from 3% to 40% and improved solution reach from 54% to 62%, plus a web onboarding redesign that lifted activation by 12%. Thoughtful about human-centered AI, especially using automation to guide users and support people rather than replace human relationships.”

“Senior product manager with deep fintech and AI product experience across Vanguard and Seeking Alpha. Most notably led Vanguard's first shipped AI product—an ML-powered portfolio optimization web app for financial advisors—from Python prototype to production, while also building internal model validation systems and later redesigning PM training adopted across the organization.”

Kyle Warneck

Screened

Director-level Frontend Engineer specializing in high-scale web platforms

Alameda, CA13y exp

“Former Epic Games engineering leader who built the web foundation of the Fortnite creator ecosystem, joining as the first web developer and scaling the team to 21 engineers as the platform grew to tens of thousands of creators and tens of millions of players. Combines deep frontend architecture expertise with backend/infrastructure ownership, observability, and product leadership across publishing, trust and safety, economy, analytics, and public APIs.”

“Product leader with deep edtech experience who built Kaltura's LMS-native video and assessment suite and later shipped a Gemini-powered workflow at Google to help unemployment adjudicators resolve claims faster. Stands out for combining technical product fluency, human-centered AI thinking, and strong cross-functional leadership across design, engineering, sales, and support.”

“Senior product leader with experience at Constant Contact, Retention Science, eBay, and Ticketmaster, spanning PLG transformation, AI-driven marketing automation, UX turnarounds, and complex platform migrations. Particularly compelling for roles needing a product executive who can tie user insight, experimentation, and cross-functional execution directly to conversion, revenue, and team growth.”

“Product leader with experience at Disney, Hallmark Media, and Storytelling Tech who has led both streaming and AI-powered content products. Notably shipped VERP, a generative AI "prompt-to-publish" video platform, and brings a clear human-centered AI philosophy focused on augmentation, trust, and fast user outcomes rather than full automation.”