Oumi
The Pre/Post-Sales Machine Learning Engineer at Oumi is responsible for bridging technical expertise and customer success throughout the pre-sales and post-sales lifecycle. This role involves designing, training, and deploying AI models on Oumi's platform, creating custom machine learning workflows, and engaging directly with customers to ensure effective use of the technology. The engineer will also collaborate with internal teams for product improvements and develop educational materials to enhance customer experience and community engagement.
Oumi is an AI-native custom model development platform that enables developers and enterprises to build, train, and deploy task-specific AI models from a plain-English prompt in as little as two hours. By automating the full model development lifecycle — including evaluation, data synthesis, training, and deployment — Oumi delivers models that outperform large frontier models on specific tasks at up to 90% lower cost, with no vendor lock-in. Built by researchers from Google, Apple, Meta, and Microsoft, Oumi is used by developers at leading organizations and supported by over 14 academic institutions.
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Oct 14, 2025
Mozilla is building an AI ‘rebel alliance’ to take on industry heavyweights OpenAI, Anthropic
1 month ago
The 8 next big things in foundational AI for 2025
Oct 14, 2025
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Oumi.
Oumi didn’t post a salary, so this is our estimate from similar listings.
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