Kore.ai is a globally recognized leader in the conversational and generative AI space helping enterprises deliver extraordinary experiences for their customers, employees, and contact center agents. Kore.ai’s goal is to empower businesses with effective, simple and responsible AI solutions that create engaging interactions. sectors serving over 100M of consumers and 500,000+ employees worldwide. With billions of interactions automated using our AI-powered technology, we have been able to save over $500M for these companies.

Kore.ai is one of the fastest growing AI companies globally. We are recognized as a leader by the leading technology and industry analysts like Gartner, Forrester, IDC, ISG, Everest, and others.

Founded in 2014 by serial successful entrepreneur, Raj Koneru, Kore.ai supports customers globally across offices in Orlando, Hyderabad, New York, London, Germany, Dubai Frankfurt, Tokyo and Seoul.

We’re reshaping the way companies harness the power of AI, simplifying and enhancing accessibility. Work alongside some of the brightest minds in the industry to pioneer safe, reliable solutions. Join the Kore.ai team and help companies of all sizes simplify the adoption of advanced AI solutions responsibly.

• Articulate our unique value proposition and technology differentiation.
• Demonstrate Kore.ai Platform features and pre-build Solution products.
• Whiteboard the solution and review architecture, performance, and scalability requirements.
• Collaborate with technical architects, data scientists and NLU analysts at prospective customers to explain how we deliver our solutions, products, and platform.
• Facilitate and drive use case workshops with prospective customers.
• Analyze conversational UX use cases for feasibility and value creation for the client.
• Prepare a high-level estimate of effort involved and skills needed from a machine learning perspective for a specific customer engagement.
• Work closely with product management to provide input and guidance for product roadmap and enhancements
• Work closely with the delivery teams to seamlessly transition from sales to delivery activities and ensure customer success
• Develop and maintain relationships with prospect and customer technical contacts.
• Work closely with Sales team as a technical resource & solutions consultant to pursue business opportunities.

• Minimum 5 years of experience in a client-facing sales engineer/presales/solution architect technical role required
• Previous experience in contact center technologies (CCAAS, IVR, ITR, Chatbots, Conversational AI) required
• Minimum 5 years of experience participating in the sales cycle at a technology company required
• Technical experience preferably sales-engineering &/or web-development experience required
• Strong technical acumen & ability to learn new patterns, spaces and domains quickly required
• Ability to understand our client’s challenging business problems and frame up a crisp solution required
• Experience with languages such as Python, Java, JavaScript, and Linux shell scripts required
• Excellent communication skills need to articulate technical capabilities to business users and business requirements to technology team/s
• Currently reside in London UK required

• Previous experience in contact center technologies (CCAAS, IVR, ITR, Chatbots, Conversational AI).
• Previous experience in RPA or Process Automation
• Previous experience in AI or ML technologies preferably using LLM’s.

• Confidence and strong presentation skills to drive large portions of long customer meetings.
• Strong customer presence, especially with senior client executives.
• Approachable and someone who loves to work a room and build relationships.
• A consultant mindset to identify and frame customer solutions
• Proven track record selling enterprise deals.
• Exceptional listener.
• A whatever it takes attitude, willing to put in the extra effort when needed (long hours, travel (when normalized again), weekends).
• Experience with NLU technology in the industry.
• Strong verbal and written communication.
• Strong analytical and problem-solving capabilities.
• Highly organized, detail-oriented, and self-motivated.
• Able to thrive in a high-growth, fast-paced environment.

• Bachelor’s degree in Computer Science, Engineering, or a related quantitative field required.