kea

kea

San Francisco , CA
44 Total Employees
Year Founded: 2017
Jobs at kea

Search the 5 jobs at kea

Recently posted jobs

Yesterday
United States + 78 More
Remote
Artificial Intelligence • Food • Machine Learning • Software
Account Manager role at kea, responsible for maintaining strong customer relationships and ensuring client satisfaction with the voice ordering solution. Daily tasks include engaging with restaurant operators, managing customer portfolios, advocating for product enhancements, and conducting business reviews.
2 Days Ago
United States + 78 More
Remote
Artificial Intelligence • Food • Machine Learning • Software
The Head of Customer Success at kea will lead the Customer Success team in deploying and supporting the Voice AI solution for restaurants. Responsibilities include establishing customer success standards, building a talented team, and improving the overall customer experience.
3 Days Ago
United States + 78 More
Remote
Artificial Intelligence • Food • Machine Learning • Software
Sophisticated and experienced Sales leader needed to establish scalable outbound sales motion for kea Voice product in the Mid-Market to Enterprise restaurants vertical. Responsibilities include managing a high-performing sales team and expanding market share.
6 Days Ago
United States + 78 More
Remote
Artificial Intelligence • Food • Machine Learning • Software
Seeking a skilled and motivated Finance Manager with a passion for leveraging data to drive insights in the restaurant and hospitality tech space. Responsible for managing day-to-day financial activities and providing financial insights to drive strategic business decisions. Must have 5+ years of experience in a financial capacity, preferably in the technology or restaurant vertical.
8 Days Ago
Mountain View, CA + 77 More
Remote
Artificial Intelligence • Food • Machine Learning • Software
Join our autosquad team to automate order-taking process through AI by managing data warehouses, cleaning/preprocessing datasets, developing ETL pipelines, and collaborating with ML Ops and software engineers.