Vetted Marketing Professionals

Timothy Washington

Screened ReferencesStrong rec.

Senior Product Manager specializing in AI-powered products and responsible AI

Cranbury, NJ18y exp

“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.”

“Chief AI Strategy at startup Zenera with 30 years in technology strategy/design, experienced in building business plans across startups and large enterprises (projects, new products, and M&A). Deeply familiar with enterprise AI go-to-market challenges (slow procurement/pilot cycles) and preparing for VC expectations (e.g., targeting a16z) by emphasizing unique tech and paying customers.”

“C-level operator and advisor who has led operational transformations at growing companies from ~$100M revenue to multi-billion scale. Focuses on working backwards from a north star to build KPI/decision-owner mechanisms, P&L-linked accountability, and agile org structures—citing outcomes like +500 bps market share gains, millions saved in people costs, and EBITDA acceleration for a PE exit.”

“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.”

“Former lawyer and Bain consultant who evolved into a senior media/operator leader across NBCUniversal, Discovery, Nickelodeon, and a subscription gaming startup. Unusually combines top-tier analytical training, enterprise dealmaking, and COO-level execution—building proprietary analytics systems, leading Discovery+ launch partnerships that delivered 20M year-one subscribers, and driving startup turnaround improvements including a $2M inventory obsolescence avoidance.”

“Operations leader/advisor experienced in bringing structure to early-stage/growing companies by connecting Vision-Mission-Strategy to execution via roadmaps, accountability, and KPI scorecards with defined operating cadences. Demonstrated measurable impact by redesigning sales compensation around margin by product/retailer, improving profitability by 4 points within six months, and has reported directly to founders/CEOs with sales and finance backgrounds.”

“Former COO at a venture firm who founded a consultancy/startup serving luxury apparel and accessories brands, with current paying clients acquired through her executive network. Focuses on operational and business strategy for luxury brands of African descent and runs end-to-end product development and sourcing across NYC/China with supplier links to Turkey and India; previously built a book of business at Morgan Stanley and advised startups.”

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.”

“Brand strategist and business builder with startup experience at Betterment pre-launch, operational and revenue strategy work at Patch, and 15 years at McCann delivering 10 AOR wins including Qualcomm, HomeGoods, Air Wick, and Kroger. Particularly strong at entering unfamiliar categories, uncovering overlooked customer insights, and turning them into clearer positioning, smarter targeting, and winning pitches.”

Kyle Kim-Hays

Screened

Executive marketing and product leader specializing in SaaS, media, telecom, and AI

New York City, NY24y exp

“Senior product leader with experience spanning Microsoft Windows core OS and Softomotive/Microsoft RPA products, including a major WinAutomation repositioning that reportedly grew ARR from under $500K to over $300M. Brings an unusual mix of AI product strategy, deep UX judgment, large-scale cross-functional leadership, and financially rigorous roadmap decision-making, plus a personal commitment to education through adjunct teaching.”

“Senior product leader from PlayStation and Epic Games with rare experience scaling consumer gaming subscription and personalization platforms at massive scale. Led the PlayStation Plus evolution into a tiered live-service platform, driving growth from 30M to 40M subscribers and a 15% ARPU lift, while also bringing AI/ML personalization expertise from the Epic mobile store and Fortnite ecosystem.”

“Founder building an enterprise agentic AI startup who has already raised about $100K (friends & family plus self-funding). Has prior and current experience engaging VCs (including outreach to both large and small firms) and emphasizes demo-driven pitching, enterprise customer validation, and targeting billion-dollar market opportunities.”

“Strategic GTM leader with 20+ years across Confluent, AMD, Splunk, and Dell, spanning hardware, software, and semiconductors. Stands out for building OEM and partner-led demand engines, launching AI-ready products, and tying full-funnel marketing and sales enablement to measurable outcomes including quota attainment, 100% database growth, and nearly 50% YoY revenue growth in AMD's commercial AI PC business.”

“Education-focused product leader who has led AI-enabled data and adaptive learning products at National Student Clearinghouse and Pearson. Particularly strong in using pattern matching, semantic technologies, and workflow redesign to scale complex education products while keeping a human-centered view of AI’s role in improving equity and personalization.”