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Marty Moesta

Lead Pm, Generative AI Use Cases at Snorkel AI

Marty Moesta has a diverse work experience history. Starting in 2021, they worked at Snorkel AI as a Principal Machine Learning Success Engineer. In this role, they were responsible for establishing processes for delivering value to Snorkel customers and co-delivering NLP machine learning projects.

From 2018 to 2021, Marty worked at Tanium, initially as an Associate Technical Account Manager, then as a Technical Account Manager, and later as the Director of Technical Product Management. In these positions, they played a key role in building and launching various products, including Tanium's API Gateway and centralized datastore, and integrated them across multiple Tanium products.

Prior to that, Marty worked as a Consultant at CapTech Ventures, Inc from 2017 to 2018, where they created an aggregate data pipeline and managed A/B testing for a Fortune 50 Telecommunications Company.

They also have experience as an Outreach Coordinator at Athletes in Action from 2014 to 2017, where they were responsible for coordinating outreach activities. Marty's earlier experience includes roles as a Marketing Intern at Yale University in 2014, a Summer Intern - Business Analyst/Developer at CapTech Ventures, Inc in 2016, an Analytics Intern at Nielsen in 2015, and a Special Projects Intern at Billhighway in 2014.

In addition to their professional experience, Marty was a Yale Varsity Football player, competing in 40 Varsity contests and serving as a leadership council member. They also worked as a Group Fitness Instructor at Fox-Jaeger Enterprises in 2013 and as a Harbor Attendant at Grosse Pointe Yacht Club in 2012.

Marty Moesta pursued their Bachelor of Arts degree in Applied Mathematics from Yale University, completing their studies from 2013 to 2017.

Links

Previous companies

Nielsen logo
Yale University logo
Athletes in Action logo
Tanium logo
Billhighway logo

Timeline

  • Lead Pm, Generative AI Use Cases

    January 1, 2024 - present

  • Principal Machine Learning Success Engineer

    March, 2023

  • Machine Learning Success Engineer

    November, 2021