Kognitos delivers a neurosymbolic AI platform that automates business operations by converting tribal and system knowledge into documented, AI-refined automations using English as code. The unified system of record enhances productivity and decision-making across hundreds of use cases while avoiding brittle bots or black-box AI. A patented Process Refinement Engine accelerates ROI, cuts costs, and empowers teams. Headquartered in Mountain View, California, Kognitos is supported by leading investors such as Khosla Ventures, Wipro Ventures, and Prosperity.
Open Positions
Sales Engineer
Bachelor's degree in Engineering, Computer Science, or related field; Previous experience as a Sales Engineer, Solutions Consultant, or in a pre-sales technical role; Strong technical background, with proficiency in Python and experience with APIs or automation platforms
Support Engineer
5+ years in a technical role, strong grasp of automation, experience with GenAI, solid debugging skills, and a BS in Computer Science or related field
Partner Account Manager
5+ years of experience in partner account management, proven success in building joint business plans, and strong business acumen
Enterprise Account Executive (Bay Area)
Proven track record in B2B sales, excellent communication skills, and proficiency in CRM tools
Partner Manager
5+ years of partner management experience, strong network, and ability to build joint business plans
Applied ML Engineer
Bachelor's degree in Computer Science, Machine Learning, or related field, with proven experience in developing and deploying machine learning models
Enterprise Account Executive - (Central)
5+ years of B2B enterprise sales experience, proven track record of success, and strong communication skills
Early-Career Applied ML Engineer
Master's or Ph.D. in CS/ML, ML experience, Python proficiency, and problem-solving mindset
Staff Software Engineer
B.S. or higher degree, 5-8 years of experience, and proficiency in Python programming language required
Solutions Engineer
Bachelor's degree in Engineering, previous experience in Professional Services or Consulting, and proficiency in Python programming
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