Sales Engineer

Summary

Join Level AI, a Series C startup revolutionizing customer engagement with its AI-native platform. As a critical team member, you'll work with cutting-edge technologies, directly impacting the future of AI-driven enterprise applications. Collaborate with experienced professionals from top tech companies, delivering polished product demos, leading evaluations, and working cross-functionally to influence product development. You will leverage your deep product and technical knowledge to solve customer problems, explain complex concepts clearly, and empower prospects to advocate for our solution. Level AI offers a fun, learning-focused environment where your contributions are valued.

Requirements

• 7+ years of experience in an enterprise environment with Sales Engineering, Consulting, or other technical customer-facing roles
• Strong understanding of SaaS solutions and web app fundamentals
• Strong business acumen, and polished presentation skills, with an aptitude for explaining complex technical concepts to laypeople
• Experience with data analytics tools and methodologies
• Basic familiarity with ML and AI concepts
• Eager to learn, try new things, and take calculated risks
• Data-driven, a process-oriented individual who can point to ways you’ve upleveled the product/process and people in your professional experience past
• Desire to work in a dynamic startup where your input is desired to help craft our offerings and how we interact with clients

Responsibilities

• Deliver polished, in-depth product demos to prospects
• Lead product evaluations, demonstrating attainment of success criteria for prospects
• Work cross-functionally, with engineering to influence product roadmap, features, and reporting bugs
• Use deep product knowledge, and general tech understanding, to be consultative and devise solutions to customer problems
• Be able to explain complex data analytics and AI topics to laypeople
• Empower prospect employees to champion and advocate for our solution

Benefits

Market-competitive compensation, based on the skill set and aptitude of the candidate