Vetted A/B Testing Professionals

“Product leader with experience at Catbird and Ipsy, especially strong in e-commerce, personalization, and operational AI. Stands out for combining direct customer immersion with rigorous scoping and stakeholder alignment—launching a new personalization experience in 10 weeks with 100% ROI in 4 weeks, and later driving AI automation that cut merchandising workload by 30%.”

“Product leader with cross-industry experience spanning field-service/mobile platforms, healthcare EHR patient portals, and legal contract lifecycle management. Stands out for building and pitching platform strategy at the executive level, shipping AI-assisted workflow improvements that saved technicians time, and tying product investments directly to business outcomes like ARR growth.”

“AI/ML engineer in financial services who has built both LLM-powered compliance tools and production fraud/credit risk systems at Ally Financial. Particularly strong in regulated, high-stakes environments: combines RAG/LLM architecture, rigorous evaluation, and human-in-the-loop governance, and also helped stand up a unified ML platform from scratch.”

“Frontend engineering leader who owned the modernization of Everlane's large-scale e-commerce experience, migrating from a legacy stack to Next.js/Apollo/Cloudflare Workers while keeping a business-critical site running for nearly 1 million daily users. Stands out for combining architecture, browser performance, and conversion-focused execution—measuring success through Core Web Vitals, funnel improvements, and developer velocity.”

“Frontend/full-stack engineer with Chegg experience shipping signed-in and top-of-funnel Next.js experiences, including leading an account-sharing/device-management MVP integrated with a Java Spring Boot service. Stands out for strong rollout ownership, analytics-based validation, and pragmatic security/performance decisions in production.”

Betsie Hoyt

Screened

Director-level Product Management leader specializing in SaaS, AI, APIs, and mobile products

18y exp

“Senior product leader in construction technology with experience at Trimble, where they helped reshape a fragmented 15-acquisition portfolio into a platform strategy that became central to how a $250M business is sold and supported. They combine enterprise platform thinking, AI product delivery, and change management, including launching a voice-based LLM workflow for regulated field reporting and coaching cross-functional teams into stronger product practices.”

“Amplitude contractor focused on AI/ML product development and backend systems, with hands-on experience shipping and improving LangChain-based event classification workflows in production. They combine LLM pipeline design, AWS data infrastructure, and pragmatic human-in-the-loop controls to make analytics systems faster, more reliable, and scalable.”

“Product design leader who has operated as both design head and product owner across retail, supply chain, and global trade platforms. Notable for turning design research into business strategy shifts, leading AI/ML workflow products with measurable adoption gains, and scaling globally distributed design teams while tying UX decisions directly to ROI.”

“Data/automation-focused engineer with hands-on experience building production workflows across marketing, sales, and RevOps at ZoomInfo. They’ve owned end-to-end automations spanning Snowflake/Databricks pipelines, ad platform API integrations, LLM-powered sales prep and deal summarization, and ML-based account prioritization.”

“Solo founder of ami nali, a luxury DTC pet accessories brand, who built the business end to end across product, brand, ecommerce infrastructure, marketing, legal, and operations. Particularly compelling for early-stage roles requiring a highly autonomous operator who can switch from strategy to execution, build systems from scratch, and navigate complex logistics and compliance while advancing a mission-driven brand.”

“Growth creative/performance marketer currently at Walmart who led Walmart+ checkout announcement/enhancement campaigns end-to-end, combining user behavior analysis, customer feedback, and multi-variant A/B testing. Reported measurable funnel and revenue-adjacent lifts (faster checkout, nearly doubled first-time completion, +18% repeat visits, +$1.2 basket size) and uses Power BI plus platform analytics (Meta/TikTok/YouTube) to drive rapid, modular creative iteration with creators and editors.”

“AI/ML practitioner with Northern Trust experience who has shipped production LLM systems (internal support assistant) using RAG, vector databases, orchestration (LangChain/custom pipelines), and rigorous monitoring/feedback loops. Also built AI-driven fraud detection/risk monitoring solutions in a regulated financial environment, emphasizing explainability (SHAP), audit readiness, and stakeholder trust through dashboards and clear communication.”

“At JP Morgan Chase, built and deployed a production LLM-powered RAG knowledge assistant to help fraud investigators and risk analysts quickly navigate regulatory updates and internal policies, reducing investigation delays and compliance risk. Strong focus on secure retrieval (RBAC filtering), reliability (layered testing + observability), and production constraints (latency/SLOs), with Airflow-orchestrated, auditable ML pipelines.”

“At Evoke Tech, built a production LLM "Testbench" to quickly compare LLMs/embedding models and RAG strategies (semantic, hybrid BM25, re-ranking, HyDE, query expansion) to select optimal architectures for different client needs. Also developed a multi-agent, multimodal (voice/text) RAG system for live catalog retrieval and safe product recommendations using LangGraph/LangChain with LangSmith monitoring, and regularly translated PM/UX goals into concrete agent behaviors via demos and flowcharts.”

“AI Product Manager who also operates as a product marketer/CRM lifecycle lead, focused on behavior-driven onboarding and retention. Has delivered measurable growth through segmentation, multi-channel lifecycle programs, and experimentation (e.g., activation +23%, TTFV -30%, retention +14%), and led a cross-functional chatbot integration that improved course completion (+23%) while reducing refunds (-15%).”

“Built and shipped a production LLM-powered personalized client engagement assistant in the financial domain, balancing real-time recommendations with strict privacy/compliance requirements. Demonstrates strong MLOps/LLMOps depth (Airflow + MLflow, containerized microservices, drift monitoring) and a privacy-by-design approach validated in collaboration with risk and compliance teams.”

“Software engineer with deep experience in real-time payments and event-driven microservices. Built a React/TypeScript + Spring Boot system using RabbitMQ, and created an internal operations dashboard that improved visibility into message-processing workflows for engineering, support, and SRE. Strong in experimentation-driven product iteration (feature flags/A-B tests) and in scaling reliability via idempotent consumers and end-to-end observability.”

“Built and deployed an LLM-powered analytics assistant enabling business users to ask questions in plain English and receive validated Spark SQL executed in Databricks, with a Streamlit/Flask UI. Addressed strict client schema-privacy constraints by implementing a RAG strategy and ultimately leveraging AWS Bedrock and fine-tuned reference docs. Also has production ML pipeline experience using Docker + Airflow and AWS (S3/ECS/EC2) for financial classification models.”

“Built and productionized an NLP-powered customer support assistant at JPMorgan Chase for digital banking, focused on reducing response time for repetitive client queries. Strong in real-world AI deployment challenges—sensitive data handling, low-latency FastAPI services, and AWS/Kubernetes operations with CI/CD—plus a metrics- and guardrails-driven approach to reliable AI workflows.”

“AI/ML engineer with HP experience building and productionizing an LLM-powered document intelligence platform (LangChain + Pinecone) to deliver semantic search and contextual Q&A across millions of enterprise support documents. Demonstrates strong MLOps and scaling expertise (Airflow, Kubernetes autoscaling, Triton GPU inference, monitoring with Prometheus/W&B) plus a structured approach to evaluation (A/B tests, shadow deployments, failover) and effective collaboration with non-technical stakeholders.”

“GenAI/data engineering practitioner with production experience across Equinix, Optum, and Citibank—built an Azure OpenAI (GPT-4) + LangChain document intelligence platform processing 1.5M+ docs/month and a HIPAA-compliant Airflow healthcare pipeline handling 5M+ claims/day. Also delivered a real-time fraud detection + explainability system using LightGBM and a fine-tuned T5 NLG component, improving fraud accuracy by 15%+ while partnering closely with compliance stakeholders.”

“Engineering leader who proposed and delivered a new API-based document management platform to replace a vendor-dependent system, improving latency by ~1s and availability to 99.9% while migrating legacy data. Also drove Python-based automation of ~12 workflows via third-party API integrations and led an SSO/auth integration focused on backward compatibility and high login success rates.”

“Backend/platform engineer from Fanatics sportsbook core team with deep experience in real-time ingestion systems (Kafka) and high-throughput performance optimization. Delivered an 87% latency reduction on a Java API handling hundreds of thousands of updates per second, and improved reliability of shared internal libraries via deterministic recovery logic, strong testing, and feature-flagged rollouts.”

“Senior graphic designer with e-commerce marketing experience at AVVA and Apt2B.com, focused on high-polish email and paid social creative. Leans into motion design—shooting and editing video and building animated GIF assets—to drive engagement and revenue, and is experienced producing high-volume sale/Black Friday creative efficiently using grid systems and brand-guideline guardrails.”