Vetted A/B Testing Professionals

“AI engineer and current tech lead building a RAG-based multi-agent QA platform for financial document analysis at significant scale (40,000-50,000 documents). They combine Python, CrewAI, FastAPI, Hugging Face embeddings, Pinecone, and AWS SageMaker to deliver retrieval, calculation, summarization, forecasting, and visualization workflows, while leading a small cross-functional team.”

Yuchen Shen

Screened

Junior Full-Stack Engineer specializing in AI and graph-based applications

Sunnyvale, CA2y exp

“Front-end engineer with experience at Walmart and Sam's Club building sophisticated browser-based UIs, including an internal AI chat experience that combined chat, document rendering, editing, and visualization in one workflow. Stands out for pairing modular React/TypeScript architecture with hands-on browser performance debugging and Apollo/GraphQL optimization for highly interactive enterprise interfaces.”

Ben Ayed

Screened

Executive product leader specializing in AI, security, and connected devices

Fremont, CA22y exp

“Product leader with hands-on experience building and scaling a production Voice AI Assistant for automotive dealerships, combining LLMs, speech technologies, workflow orchestration, and system integrations. Stands out for balancing AI capability with trust, UX, and operational ROI—shipping a system that answered over 90% of incoming calls while improving conversion, reducing workload, and augmenting rather than replacing human staff.”

“Full-stack product builder with strong GTM and applied AI experience, including end-to-end ownership of a production lead intelligence platform that combined React/TypeScript, Python services, external data enrichment, and LLM orchestration. Notably reduced SDR research time from 15-20 minutes to under 2 minutes per account and also drove an 8% revenue increase at Finding Pi by building a customer segmentation framework from analysis of 45k+ users.”

“Frontend-focused engineer with experience spanning healthcare, enterprise analytics, and real-time trading products. They have owned React/TypeScript dashboard surfaces end-to-end, including a hospital patient dashboard that cut latency by 50%, and have also shaped backend WebSocket contracts to make real-time systems scale.”

“GTM and operations leader with experience spanning SaaS, marketplaces, OT/ICS, and retail/e-commerce, including work that drove e-commerce revenue for a $44B retailer. Particularly strong in enterprise ABM and partner-led motions for critical infrastructure accounts, with proven results in pipeline growth, conversion improvement, and cycle-time reduction, plus direct ownership of complex six-figure ARR deals.”

“Frontend-focused React/TypeScript candidate with hands-on experience building personalized product discovery and recommendation modules that balance relevance, performance, and maintainability. They show strong practical judgment around rendering optimization, responsive CSS, accessibility, and using DevTools/Profiler data to improve production UX.”

“Product-oriented startup operator with hands-on AI experience across chatbot UX, PRDs, and technical RAG pipeline design. They’ve worked across early-stage builds and portfolio-company product strategy, including improving engagement by 46% on an internal AI product through better workflows, content pipelines, and analytics-driven iteration.”

“Senior Campaign Manager who owns $50K–$250K/4-week high-spend accounts across Meta, Google, TikTok, and Yahoo programmatic display. Led a $120K mixed-media launch for P&G focused on new-to-brand purchases (including an incremental lift study) and uses disciplined testing plus saturation/impression-share diagnostics to reallocate budget—driving a reported 25% conversion lift with stable CPA.”

“Product leader with standout experience rebuilding the National Debt Relief customer portal into a reassurance-first self-service experience, reversing roughly $60MM in annual churn and improving NPS by 36+ points. Brings a strong blend of customer research, UX judgment, experimentation, and cross-functional leadership, plus hands-on experience applying AI personalization in conversion funnels. Particularly compelling for mission-driven products where trust, emotional context, and human-centered AI matter.”

Becky Dubrow

Screened

Director-level Product Leader specializing in SaaS and cybersecurity platforms

Remote, USA21y exp

“Security product leader with deep experience spanning Bishop Fox, Malwarebytes, and startup environments, combining platform architecture, AI-enabled security workflows, UX judgment, and org leadership. Notably re-architected offensive security platforms, introduced human-in-the-loop AI systems, and scaled a consumer business from $17M to $120M+ ARR while growing and mentoring global product teams.”

“Revenue/GTM leader with ~10 years of experience scaling companies from early stage through IPO, with unusually deep cross-functional exposure across risk, finance, product/tech, and DevOps. At Catapult, helped drive a pivot from brick-and-mortar to e-commerce and landed major enterprise customers (Lenovo and Wayfair) by navigating complex system integrations and enterprise delivery expectations. Previously ran a family business (2004–2008) and is committed to founding a company.”

Ramon Villacorta

Screened

Senior QA & Live Ops Configuration Manager specializing in console and mobile games

Culver City, CA14y exp

“Game industry QA tester with several years of experience supporting multiple AAA titles, including multiplayer ownership and work spanning pre-alpha through gold master and post-launch updates. Known for proactive edge-case exploration—e.g., finding and documenting a late-stage crash tied to a mission timer interaction—backed by strong evidence capture (video, crash dumps) and thorough verification/regression practices.”

Harshal Sawant

Screened

Senior AI Engineer specializing in LLMs, RAG, and MLOps on multi-cloud

8y exp

“Built and productionized a secure internal RAG-based AI assistant (LangChain/FastAPI/FAISS on GCP), tackling real-world issues like latency, retrieval speed, and hallucinations—delivering 25% faster retrieval and 99.9% uptime. Also implemented scalable, reliable ML retraining orchestration with AWS Step Functions/SageMaker/Lambda and partners closely with compliance analysts to iteratively refine prompts and outputs to meet governance standards.”