Pre-Sales AI Consultant

About the role

At WalkMe, we're not just the leader in digital adoption; we're the creator of the digital adoption revolution. We empower organizations to pinpoint and resolve digital friction, regain control of their tech stack, and be better equipped to manage future change. With over 1,600 clients, including 55 Fortune 100 companies and 6 Fortune 10 companies, we're transforming how enterprises interact with their technology.

Responsibilities

• Partner with WalkMe Account Executives and Presales teams across Americas, taking a consultative role in customer evaluations of WalkMe AI.
• Lead AI-focused discovery sessions, answer technical and architectural questions, and guide customers through solution design considerations.
• Build, customize, and deliver product demonstrations that clearly communicate the value of WalkMe AI.
• Manage technical proofs of concept, both remotely and onsite, including coordination with internal Engineering and Support teams when needed.
• Develop strong technical relationships with customer stakeholders, positioning yourself as a trusted AI advisor.
• Support escalations and complex technical discussions, ensuring timely resolution and clear communication.
• Participate in regional field activities such as customer events, executive briefings, and internal enablement sessions.
• Act as a conduit between customers and internal teams by sharing structured feedback on product gaps, market trends, and customer needs.

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.

Qualifications

• Master's degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
• Proven track record of successful AI implementations and customer engagements.
• Experience with AI platforms and tools, including but not limited to TensorFlow, PyTorch, Hugging Face, and others.
• Knowledge of enterprise-grade AI deployment models and best practices.
• Experience with AI ethics, fairness, and bias mitigation techniques.
• Excellent communication and presentation skills, with the ability to explain technical concepts to non-technical stakeholders.

Skills

• Strong problem-solving and analytical skills.
• Excellent interpersonal and communication skills.
• Ability to work independently and as part of a team.
• Proficiency in relevant programming languages and tools (Python, Java, etc.).
• Experience with cloud-based platforms (AWS, Azure, Google Cloud).
• Understanding of data privacy and security regulations.

Benefits

• Hybrid Work Arrangement
• Supportive Culture
• Professional Development Opportunities
• Wellness Programs
• Health Coverage Options
• Annual Leave Policy
• RefreshMe Days
• Roths Contributions

Pay

The OTE for this role is between $220,000 and $300,000, including salary and variables. The actual base pay is dependent upon many factors, such as: location, training, transferable skills, work experience, business needs and market demands.

Schedule

WalkMe offers a flexible hybrid work schedule to perfectly combine the benefits of remote work and the essential connections and collaborations of onsite work.