PreSales Engineer @ Kore.ai
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Job Details
Overview
Kore.ai, a globally recognized leader in conversational and generative AI, seeks a PreSales Engineer to drive effective and responsible AI solution adoption for enterprise customers. Join a fast-growing, innovative team that delivers extraordinary experiences for over 100M consumers and 500,000+ employees worldwide.
Responsibilities
- Articulate Kore.ai's unique value proposition and technology differentiation.
- Demonstrate the Kore.ai Platform features and solution products.
- Whiteboard solutions and discuss architecture, performance, and scalability.
- Collaborate with technical architects, data scientists, and NLU analysts.
- Facilitate use case workshops and analyze conversational UX feasibility.
- Provide input on product roadmap and transition activities from sales to delivery.
- Develop and maintain customer technical relationships as a solutions consultant.
Experience & Skills Required
The ideal candidate has a minimum of 5 years in a client-facing pre-sales/solution architect role, strong technical acumen, and practical experience in languages such as Python, Java, JavaScript, and Linux shell scripting. Experience in contact center technologies, RPA/process automation, or generative AI/ML technologies is highly valued.
Education Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related quantitative field is required.
Compensation & Work Arrangement
This full-time position offers a competitive salary in the range of $150,000 - $160,000 with additional wage/bonus/commission and benefits. The role is remote, based in the US.
Key skills/competency
Conversational AI, Generative AI, PreSales, Sales Engineering, Solution Architecture, Python, Java, JavaScript, Linux, Contact Center
How to Get Hired at Kore.ai
🎯 Tips for Getting Hired
- Research Kore.ai's background: Understand their AI products and market leadership.
- Customize your resume: Emphasize client-facing technical roles and skills.
- Showcase technical expertise: Present demos and past solutions in interviews.
- Prepare for behavioral queries: Demonstrate problem-solving and communication skills.