B2B & B2B2C AI Technical Product Manager who delivered $8MM in ARR through AI pricing models in auto insurance and drove AI innovation 0 -> 100 in banking compliance 10+ years of collective experience involved in the design, implementation, or management of a machine learning product Expertise communicating with internal and external software engineers, research scientists, and their managers Demonstrable passion for developing products for technical users Experience maintaining or contributing to open source projects (or the passion to start!) Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)
Experience
Principal Agent
Agentic Loops LLCApr 2026 – Present
I build small AI-native applications that solve practical problems for 200–500 core users through rapid prototyping and agentic development. I am developing Luca, a SKU-level profit margin tracker and optimizer, and Storekeeper, a compliance and data management tool for Shopify merchants.
Senior Product Manager, Modeling and MLOps
Zeta GlobalOct 2024 – Mar 2026
I built Marketer Workbench from design sketches through adoption by enterprise early users. I developed an agentic method for creating audience models for click-through rate, conversion, lifetime value, and churn; wrote the system prompt, standardized data definitions for reliable model development, and trained early users.
Senior Product Manager, ML Platform
QuanataJul 2021 – Sep 2024
I championed contextual speed data for driving safety estimation from data management through marketing rollout, increasing ARR by $8MM. I extended driver risk modeling to prospects, owned an AI contract data terms agent with confidence thresholds for approval versus human review, and reduced third-party data backtesting lead time from days to potentially minutes. I also led integration of the safe-driving modeling suite with a major insurer’s data science and actuarial functions, enabling more than 100x application scale.
Senior Product Manager
RevioAug 2018 – May 2021
I integrated user research and machine learning into an AML and fraud-detection investigative workflow fed by AI transaction monitoring, shortening case resolution time by 17% and eliminating 83% of transaction-level manual review. I led user discovery and solution consulting for three anchor clients, accelerating time to market by three months, and helped define the ideal customer profile for AI-enhanced compliance monitoring products.
Cofounder, Product
Machine ColonySep 2016 – Jul 2018
I co-founded and led product for Spire, a workflow automation platform that made inserting single-purpose ML classifiers into workflows as simple as dragging an icon onto a flowchart. I completed the inaugural Dubai Future Accelerators cohort with Dubai Property Group as our first enterprise client, supporting repricing of its $8B property portfolio. I managed an offshore engineering team and implemented a structured asynchronous agile alignment process across substantial time-zone differences.
Education
Bachelor of Science, Sociology
2007
Florida Academic Scholar (tuition, book stipend)
Master of Arts, Sociology
2010
Benjamin Franklin Fellow (tuition, health insurance, monthly stipend, teaching responsibilities)
Mixed methods (surveys + interviews) research on sharing of risk burden across case studies of contract forms (joint partnership, vendor/client, investor/operator) in small businesses across Philadelphia.
Skills
Languages
- English
- Native or bilingual proficiency