Vetted User Research Professionals

“Product leader at Nike who launched an AI-powered conversational assistant for wholesale partners on Nike.net, using LLMs, RAG, guardrails, and human escalation to balance innovation with trust. Demonstrates strong human-centered AI judgment, measurable product impact, and a practical philosophy of using AI to augment rather than replace people.”

Nicholas Richu

Screened

Mid-level Product Manager specializing in developer tools and cloud infrastructure

San Francisco, CA7y exp

“Product leader with a developer-to-PM background who has owned platform, infrastructure, and data products at IBM, HashiCorp, Honeycomb, and Airbyte. Particularly strong in ambiguous 0-to-1 work: at Airbyte, they identified data orchestration as a strategic expansion area, drove discovery across OSS/self-serve/enterprise users, and launched an initial version that reached about 20% activation in the target cohort.”

Emmanuel Haldopoulos

Screened

Senior Systems Integration Engineer specializing in ADAS and autonomous driving

San Jose, CA5y exp

“Solutions engineer at a Voice AI startup building and deploying voice agents for self-storage customers, owning the full lifecycle from cold outreach and demos through contract negotiation, FMS/API integration, and post-sales optimization. Also has Audi/Porsche experience demoing pre-production vehicles and autonomous driving features (L3 lane changes) to internal stakeholders and VW Group leadership, with a strong track record of tailoring technical narratives to varied audiences and improving conversion by adapting agents to regional dialects.”

Kaustav Mukherjee

Screened

Staff Product Leader specializing in AI, CRM, Martech, and Commerce platforms

12y exp

“Product leader with experience spanning Intuit, Taylor Brands Innovation Lab, and Head of Product at Content Analytics, combining strong product architecture judgment with practical AI/ML execution. They led a QuickBooks proposals rebuild that improved SMB job win rates and an AI sizing initiative that doubled digital adoption while reducing fit-related exchanges, and they also built an AI-powered career coaching app grounded in a human-centered AI philosophy.”

Jeff Zhou

Screened

Senior strategy and operations leader specializing in product, M&A, and growth strategy

New York, NY10y exp

“Strategy and corporate development leader with a rare mix of big-company M&A experience at Indeed, private equity training, and hands-on founder experience. They have advised leadership on inorganic growth in HR tech, helped take a job seeker product from market research to launch and monetization, and built a mentor-mentee marketplace for international students in New York.”

“Product/UX design leader with experience in both banking and energy, including redesigning complex enterprise platforms at Zafin and designing AI-assisted workflows for engineers at Exxon. Stands out for combining deep user research, cross-functional product direction, and a strong human-centered philosophy for AI in high-stakes expert environments.”

Yash Jain

Screened

Director-level engineering leader specializing in identity, authentication, and AI security

Mountain View, CA12y exp

“Engineering leader at Intuit focused on identity, authentication, and security infrastructure for AI integrations in highly sensitive financial workflows. Led a 10-person Tier 1 team, built an AgentIdentity framework across 3 organizations, and helped launch TurboTax/QBO integrations with ChatGPT and Claude while maintaining strict reliability and security standards.”

“Product and design leader who has built AI-powered educational experiences in highly restricted U.S. government environments, including a virtual assistant for WARU supporting the Department of Defense acquisition workforce. Also built teams from the ground up at Legacy.com and has a strong track record of using user insight to simplify products and align AI with human expertise rather than replace it.”

“Group Product Manager / Senior Product Manager in edtech who led the first AI feature at Imagine Learning: an AI-assisted grading and feedback capability for EdgeEX that improved teacher turnaround time by 28%. Brings a strong human-in-the-loop AI philosophy, deep educator workflow insight, and experience scaling products across cross-functional teams, UX redesigns, and state-specific curriculum strategy.”

“Built and shipped a production multi-agent, voice-based conversational assistant for older adults’ daily health management using Vertex AI, FastAPI, Firebase/Firestore, and Cloud Run, with a custom cross-session memory design to keep responses context-aware at low latency. Also partnered with caregivers/elderly users and health officials, translating needs into workflows and explaining HIV risk predictions with SHAP and dashboards.”

Rahul Konala

Screened

Senior Strategy Consultant specializing in AI, SaaS, and TMT

New York, New York6y exp

“Cross-functional operator/program leader with experience running end-to-end platform and governance assessments and translating findings into OKRs and annual roadmaps. Central contributor to a large post-merger integration overseeing 15+ functions and identifying ~$55M in cost reallocation opportunities through headcount, process, and technology optimization.”

Changhee Lee

Screened

Mid-level Software Engineer and Product Manager specializing in AI and financial data platforms

Remote4y exp

“Full-stack engineer with deep Next.js App Router + TypeScript experience who has shipped and owned production features in a fashion/wardrobe/resale domain. Demonstrated measurable impact across the stack: +25% engagement, 30% faster load times, 40% fewer errors, plus durable Temporal workflows and Postgres analytics/query tuning for real-time dashboards.”

Kevin Kevin Montreuil

Screened

Senior Product Leader specializing in SaaS, marketplaces, and healthcare technology

Cathedral City, CA10y exp

“Led discovery and early product development at Presence for an AI-assisted clinician scheduling initiative. Worked on a complex healthcare operations problem involving clinician availability, school district requirements, service types, and scheduling conflicts.”

“Product-minded software engineer with experience shipping AI-powered financial insights (spend forecasting, cashflow, credit optimization) and building real-time analytics systems using React/TypeScript and FastAPI. Has designed microservices with RabbitMQ/gRPC and strong observability (Prometheus/Grafana/OpenTelemetry), and also built an internal Figma plugin adopted by designers that reduced export time by 50%.”

“Product and design leader with deep experience translating AI/ML capabilities into practical, human-centered workflows in financial services and data infrastructure. At Capital Group, they led an AI portfolio analysis concept that earned a $15M investment pre-launch, and they have also built ML-powered search, summarization, and observability experiences while managing a global design org.”

“Built and owned an end-to-end VR surfing simulator in Unity/C#, integrating Arduino inputs, external tracking, and a motion platform with multisensory feedback. Deep focus on VR comfort and control stability (PD control, quaternion-based orientation, latency/jitter mitigation) validated via IMU measurements and 200+ user studies, plus some Unreal gameplay framework and replication/prediction experience.”

Rucha Joshi

Screened

Junior Software Engineer specializing in full-stack and backend development

Austin, TX2y exp

“Builder of multiple zero-to-one consumer applications, including an anonymous writing feedback tool with a Gemini-powered chatbot, a dietary-profile recipe product using LLM-based substitutions, and a live-updates Sports Hub. Stands out for hands-on full-stack execution, iterative AI experimentation, and a quantified 80% reduction in time users spent finding recipe-compatible ingredients and options.”

“Candidate is motivated by solving novel problems and brings an innovation mindset from their current work, where they introduced new practices and implemented an automated database change migration process that reduced errors and improved efficiency. They evaluate new ideas rigorously through user research, product discovery, market analysis, and competitive differentiation.”

“Product/design leader in financial services who has driven measurable UX impact at Truist, including moving digital banking visual appeal from 9th to 3rd in JD Power through research-led refinement rather than a costly full redesign. Brings hands-on AI product experience with personalized banking insights, strong stakeholder leadership across complex enterprise environments, and a personal commitment to human-centered AI shaped by tutoring experience and a background overcoming poverty through education.”