Solution Engineer

Responsibilities

• Partner closely with Account Executives to execute account strategies that expand ARR.
• Own all pre-sales technical activities, including technical discovery, solution architecture, live demonstrations, and custom proof-of-concept builds.
• Identify high-value enterprise use cases and design workflows to position StackAI’s Intelligence as a critical, strategic layer for the enterprise.
• Package successful solution designs into structured, repeatable plays and demo assets to enable and scale the broader field engineering organization.
• Navigate and influence complex enterprise organizations by translating deep technical AI capabilities into clear business value for C-suite sponsors, IT security gatekeepers, and PMO champions.
• Run bootcamps and workshops for customers and prospects to deepen adoption and understanding.
• Lead responses to RFPs and security assessments, articulating StackAI’s technical differentiation and platform architecture with precision.
• Develop reusable workflow templates that can be shared across customer teams and back into our product library.
• Collaborate cross-functionally with internal Product, Engineering, and Marketing teams to feed real-world client signals back into our product roadmap.

Requirements

• 2+ years of experience in a Solutions Engineer, or similar technical customer-facing role within a SaaS or enterprise technology environment.
• Hands-on fluency with Large Language Models (e.g., OpenAI, Anthropic, Gemini), prompt engineering, and their practical application to enterprise software workflows.
• Proven capability to architect custom technical solutions or wire together APIs, prompts, and platform logic on the fly to address ambiguous client pain points.
• Excellent communication and storytelling skills—you can simplify complex concepts for any audience.
• Comfortable building in front of customers and running live demos/workshops.
• A problem-solver who enjoys collaborating with sales, product, and customers alike.
• Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them.
• Bachelor’s degree in computer science, Engineering, Information Technology, or a related field (or equivalent practical experience).

Nice-to-Haves

• Startup experience.
• Thrives in fast-paced environments.
• Experience solving challenges helping customers understand emerging technology, separating good use cases from bad ones, and accelerating adoption through hands-on engagement.

Compensation and Benefits

• Competitive compensation and meaningful equity.
• Mental health, wellness & fitness benefits; career coaching & support; inclusive family building benefits; long-term savings/retirement plans; in-office culinary options.
• The opportunity to shape repeatable sales motions at the intersection of enterprise AI and workflow management, across 13+ global offices.