Vetted User Research 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.”

“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.”

“18-year Google veteran who managed and grew top customer investments, including Rocket Mortgage’s Google Search program—scaling spend from ~$60M/year to $170M/year. Led adoption of ROAS bidding and broad match through rigorous experimentation and forecasting, driving an additional $14.5M spend in 1H 2024 despite a challenging mortgage market.”

“Senior engineer (8 years) with experience at Facebook/Meta and Apple, spanning design tooling and XR/enterprise device experiences. Built the Origami component marketplace end-to-end (packaging node logic + metadata, SQL/JSON storage, filtering/search, local caching) with versioning and forward-compatibility decisions, and has a strong track record of UX-focused robustness improvements and safe rollouts via feature flags and telemetry.”

Farabi Hassan

Screened

Principal Product Leader specializing in AI-powered enterprise and marketplace platforms

Seattle, WA13y exp

“Product leader with experience at Zillow, Amazon, and Chewy, focused on high-scale ML and UX-driven product improvements. Has led end-to-end rebuilds and launches that delivered measurable business impact, including a 23% conversion lift in lead routing, 40%+ reduction in delivery-related customer contacts, and 10%+ ecommerce conversion gains.”

Alok Kumar

Screened

Director-level Product Management leader specializing in cybersecurity, cloud, and AI governance

Atlanta, GA24y exp

“Senior product leader with substantial end-to-end build experience across Microsoft, Amazon, NCR, and a current AI startup. Particularly notable for creating a machine-readable compliance platform at Microsoft, shipping AI-enabled support workflows, and combining enterprise-scale product rigor with a human-centered view of personalized AI.”

“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.”

“Senior product leader with experience spanning Amazon Audible, Capital One, and At-Bay, combining growth, AI, and workflow platform expertise. Notable for leading Audible's Channels build/rebuild, reshaping Capital One's Eno around real service outcomes, and redesigning an underwriting platform with flexible search and agentic alerts. Brings a strong human-centered view of AI informed by both consumer fintech and insurance automation.”

Ao Chen

Screened

Entry Software Engineer specializing in cloud APIs and distributed systems

United States, USA1y exp

“Backend engineer with hands-on ownership of AWS-based production systems, including resource-based policy support for Aurora DSQL and a VPC endpoint service name API. Stands out for combining security-sensitive authorization design, strong reliability instincts, and end-to-end product ownership that helped unblock enterprise adoption and customer onboarding.”

Ridhi Singhal

Screened ReferencesStrong rec.

Mid-level strategy and analytics professional specializing in growth and due diligence

Atlanta, GA4y exp

“Growth and launch operator with Uber experience spanning marketplace expansion, rider/driver activation, and scalable onboarding systems in new-city launches, including Uber Shuttle in India. Stands out for combining data analysis, operational modeling, and cross-functional experimentation to unlock incremental revenue, improve NPS, and build repeatable playbooks that scaled across markets.”

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.”

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 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.”

Britney Russ

Screened ReferencesStrong rec.

Executive product leader specializing in consumer technology and EdTech

Los Angeles, CA13y exp

“Senior product leader from Codecademy who has spent roughly a decade building and mentoring cross-functional organizations while leading major strategic pivots in education. Most notably, they repositioned Codecademy toward a new learner segment and launched an AI-native learning platform that tripled signup rates, while also creating new revenue streams like live learning and accessible AI workshops.”

“Product Manager at Amazon focused on recruiting technology and AI/ML, owning ATS experiences at massive scale across 24M annual applications. Stands out for driving a vision to turn Amazon's ATS into an AI-native platform, with measurable business impact including $10M+ in savings, major recruiter efficiency gains, and strong experimentation-driven product decisions.”

“Product leader with experience at ZipRecruiter, Quora, and Turing, spanning marketplace growth, AI/ML moderation, and talent-matching systems. They pair strong product intuition with operational rigor, having driven measurable wins like a rare +5% onboarding completion lift in a mature product, cutting Quora spam exposure from ~8% to <1%, and improving Turing fulfillment from ~20% to ~30%. Strong cross-functional leader and manager with a clear human-centered philosophy on AI.”

Ale Flores

Screened

Director-level Product Leader specializing in AI assistants, personalization, and digital video

Seattle, WA12y exp

“Senior Amazon product leader with 12 years across Alexa, Fire TV, Echo Show, and Prime Video, operating at unusually large scale. She led Alexa+ personalization from a nascent effort into an org-wide framework, authored GenAI rearchitecture strategy approved by Amazon's CEO, and has a track record of combining deep technical product thinking with executive influence, partner negotiation, and team building.”