Strategic Solutions Engineer - Central

Glean is the Work AI platform that helps everyone work smarter with AI. As a Strategic Solutions Engineer – Central, you’ll partner with Strategic Account Executives to design, demo, and prove the value of our Work AI platform for customers across the Central region.

Responsibilities:

• Partner with Strategic Account Executives to navigate complex, multi-stakeholder deal cycles with C-level and VP-level executives across the Central region
• Create and demo custom environments tailored to customer industry, region, and line of business
• Run and manage technical POC cycles end-to-end, including success criteria definition, setup, execution, and readouts
• Perform customer-facing activities including technical discovery calls, architecture reviews, and solution design sessions
• Lead security and compliance conversations to make customers comfortable with Glean’s security posture and data handling
• Work cross-functionally with Product and Engineering to deliver customer requests and be a strong voice of the customer for Central-region needs
• Develop ROI and business justification reports and presentations that tie Glean to measurable outcomes for strategic accounts

Requirements:

• 8+ years of sales engineering or solution consulting experience in a SaaS organization
• Bachelor's degree in Computer Science or a related technical field (or equivalent practical experience)
• Excellent written and verbal communication skills, with a track record of executive-facing presentations
• Highly motivated, driven, and self-starting; comfortable operating with autonomy across a large territory
• Ability to work in a fast-paced, team-oriented environment and collaborate closely with AEs, SE leadership, and cross-functional partners
• Clear examples of partnering with AEs to run technical deal cycles with Enterprise or Strategic customers
• A consultative approach to solving your customers' business challenges, with a track record of successfully overcoming technical and security objections
• Familiarity with at least one major cloud environment (GCP, AWS, Azure)
• Proficiency in Python or Java
• Ability to configure, monitor, and maintain API-based integrations