
51 - 200 employees
💰 $20M Series A on 2023-11
Kognitos is the leader in natural language process automation. Founded in 2020, the company aims to build a future where all business applications will be written in English; where machines understand human language natively; and where interacting with a computer is as easy as communicating with a human. Kognitos is bringing seamless automation to billions of business users worldwide. For more information, visit https://www.kognitos.com
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51 - 200 employees
💰 $20M Series A on 2023-11
Kognitos is the leader in natural language process automation. Founded in 2020, the company aims to build a future where all business applications will be written in English; where machines understand human language natively; and where interacting with a computer is as easy as communicating with a human. Kognitos is bringing seamless automation to billions of business users worldwide. For more information, visit https://www.kognitos.com
• Partner directly with enterprise customers — finance, AP, healthcare, and IT teams — to scope, design, and implement automations on the Kognitos platform • Translate ambiguous business requirements and undocumented processes into working “English as Code” automations • Build custom integrations between Kognitos and customer systems: ERPs, databases, APIs, email, and document sources • Debug and resolve production issues at customer sites, often under time pressure • Own the technical relationship with key accounts through onboarding, deployment, and expansion • Feed field learnings back to product and engineering to improve the platform for every customer • Travel to customer sites as needed (up to ~25%)
• 3+ years of experience as a software engineer, solutions engineer, or forward deployed engineer, ideally in a customer-facing technical role • Strong proficiency in Python and/or another general-purpose language; comfort reading and writing production code • Experience integrating with enterprise systems (REST/SOAP APIs, databases, ERP or finance systems, or RPA tools) • Ability to operate independently in ambiguous, fast-moving customer environments • Excellent communication skills — able to explain technical tradeoffs to both engineers and business stakeholders • Comfort with occasional travel.
• Ground-floor opportunity at a fast-growing, well-funded AI automation company • Direct impact on product direction — your fieldwork shapes what gets built next • Work with category-defining “English as Code” technology • Collaborative, distributed team across North America, Europe, and India
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