Account Executive, Glyphic AI
3+ days a week in office
AI co-pilot tool for sales
Be an early applicant
AI co-pilot tool for sales
1-20 employees
Be an early applicant
3+ days a week in office
1-20 employees
Company mission
To create a customer centric world by helping companies build and sell what people want and need.
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Company mission
To create a customer centric world by helping companies build and sell what people want and need.
Our take
As AI becomes more advanced, there’s been a groundswell of startups looking to find useful deployments of it to overhaul different sectors. VC investment in the field at large has hit staggering multi-billion figures annually, and demand is high, meaning it’s fertile territory for talented entrepreneurs. Like the team behind Glyphic.
With extensive high-level expertise in areas like deep learning, NLP, and generative AI, the Glyphic AI team is looking to develop AI-copilot tools to help supercharge the work of industry professionals. The company is looking to start with helping boost sales for top-performing revenue teams.
The sales sector is awash with AI-driven startups, with the likes of InsideSales, Nudge, and 6sense helping companies slash costs, boost leads and appointments by over 50%, and drastically cut call times. So whilst Glyphic is still in the early stages, it’s jumping into a hot market that’s having a substantial impact on the industry. This will help Glyphic truly test and refine its product, and potentially offer a lucrative stepping stone for expansion into other verticals.
Freddie
Company Specialist at Welcome to the Jungle
Benefits
- Professional development allowance (e.g. conference or course)
- Healthcare benefits
- 25 days of paid time off and flexible public holidays
Leadership
Adam Liska
(CEO)Completed a PhD in Cognitive and Brain Sciences at the University of Trento, before working as a Research Scientist at Spotify, and then moving up to a Senior Research Engineer and Team Lead role at DeepMind.
Devang Agrawal
(CTO)Graduated in Engineering from Cambridge, and went on to work as an ML Engineer at Apple, and then a Research Engineer at DeepMind.
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