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Featured: Women in Tech & AI Awards 2026 Virtual & Global - Celebrating 100 000 Women in Tech
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18-21 May 2027
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WOMEN IN TECH GLOBAL CONFERENCE 2026

Morgan Cundiff

Head of Machine Learning and Product at Armoire

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"Immersion on both sides: bringing strategy to the ML world and vise versa."

Fri May 15 - 5:40 PM EDT/New York (See in local time)
Add to Calendar 05/15/2026 5:40 PM 05/15/2026 06:00 PM America/New_York #WTGC2026

"Immersion on both sides: bringing strategy to the ML world and vise versa."
#WTGC2026

"Immersion on both sides: bringing strategy to the ML world and vise versa."
https://www.womentech.net/ringcentral
https://www.womentech.net/ringcentral
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Session: Immersion on both sides: bringing strategy to the ML world and vise versa.

We keep seeing a push for non-technical individuals to vibe code but not the corresponding effort. Helping technically-minded employees and entrepreneurs build the strategy and technical design around their work. What are you building and why? It is no longer sufficient to have engineers or data scientists isolated from the end use cases of their work.


Key Takeaways

  • Train (with insights in how to) your technical team to understand strategy
  • Compare company structures to better align what you’re building with why you’re building it
  • Keep a mix of table stakes and work with big boulders


Bio

Morgan recently joined Armoire as head of product and machine learning. In this role, she's leading product direction, machine learning strategy, and go-to-market initiatives on some big boulders as the company expands its data-driven approach to fashion rental. This marks her first role in fashion rental after a career building machine learning systems for ecommerce and creator-driven discovery platforms..
She comes to Armoire from LTK, the creator-shopping platform, where she spent nearly four years building and scaling the company’s data science and machine learning capabilities. Under her leadership, LTK launched many AI-driven products such as Match.AI and LTK CoPilot powering creator discovery, personalized recommendations, and automated content tagging.
She also served as a Sr. Data Scientist at ShopRunner working on their Machine Learning efforts as they went through an acquisition back in 2020. She also has a background in Biological data working in a lab at UC San Diego as a research technician focused on Diabetes and Alzeheimer’s.
Originally from California, Morgan’s first job was as a surf instructor. Since moving to Seattle, she’s traded waves for paddle boarding on the region’s lakes and waterways.

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