As a Pre-Sales AI Consultant , you will work closely with Sales and Presales teams
across EMEA to support customers in evaluating, adopting, and scaling AI. You will
help align customer AI strategies, architectures, and business objectives with AI
capabilities, acting as a trusted technical advisor throughout the sales cycle.
across EMEA to support customers in evaluating, adopting, and scaling AI. You will
help align customer AI strategies, architectures, and business objectives with AI
capabilities, acting as a trusted technical advisor throughout the sales cycle.
This role is highly customer-facing and hands-on. You will guide technical discovery, lead
AI-focused demonstrations and proofs of concept, and support customers as they assess how
AI fits into their broader enterprise AI initiatives. You will also collaborate closely with
internal stakeholders across Sales, Product, Engineering, and Support to ensure customer
feedback and market insights are effectively shared and acted upon.
Requirements:
Strong experience working with generative and contextual AI, including exposure to LLMs, AI architectures, deployment models, prompt development, and enterprise security considerations.
A minimum of 7-8 years of experience in SaaS, working with enterprise customers in a presales, sales engineering, consulting, or solution architecture capacity.
An AI-first approach to work, using AI tools thoughtfully to increase speed, quality, and effectiveness while applying judgment and ownership to outputs.
Ability to examine, interpret, and clearly articulate complex technical concepts to audiences with varying levels of technical depth, from engineers to executive stakeholders.
Experience designing and delivering compelling demonstrations and technical walkthroughs for both technical and non-technical audiences.
A strong understanding of enterprise technology environments and the business context in which AI solutions are evaluated and deployed.
Ability to synthesize customer feedback and communicate insights clearly to Product Management and Engineering teams
Strong experience working with generative and contextual AI, including exposure to LLMs, AI architectures, deployment models, prompt development, and enterprise security considerations.
A minimum of 7-8 years of experience in SaaS, working with enterprise customers in a presales, sales engineering, consulting, or solution architecture capacity.
An AI-first approach to work, using AI tools thoughtfully to increase speed, quality, and effectiveness while applying judgment and ownership to outputs.
Ability to examine, interpret, and clearly articulate complex technical concepts to audiences with varying levels of technical depth, from engineers to executive stakeholders.
Experience designing and delivering compelling demonstrations and technical walkthroughs for both technical and non-technical audiences.
A strong understanding of enterprise technology environments and the business context in which AI solutions are evaluated and deployed.
Ability to synthesize customer feedback and communicate insights clearly to Product Management and Engineering teams
This position is open to all candidates.
