Solutions Architect

December 14, 2024

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Glean

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Artificial Intelligence • Enterprise • Productivity

Glean is a company that provides an AI-driven platform designed to optimize work processes within enterprises. The platform features advanced tools for workplace search, content creation, and automation of business workflows. Glean's solutions help organizations search for information across various data sources, create and summarize content efficiently, and automate routine tasks to enhance productivity. Their technology integrates AI capabilities such as pre-built prompts, AI agents, and AI-powered search, offering a comprehensive approach to knowledge management and workplace productivity. Glean's applications are particularly valuable in supporting engineering, sales, and support teams by streamlining processes and accelerating workflows.

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

⚡ Productivity

📋 Description

• About Glean • We’re on a mission to make knowledge work faster and more humane. • We believe that AI will fundamentally transform how people work. • Glean is seeking a talented Solutions Architect to join our rapidly expanding, venture-backed startup. • You will be the primary technical advisor to our customers post-sale, focusing on our Enterprise & Strategic segment, where the architecture and integration demands are high. • Establish and maintain your role as the customer's primary technical advisor. • Work with customers to onboard new data sources and implement custom integrations of Glean into their work environment. • Assist with issue identification, troubleshooting, and remediation for your assigned customers through resolution. • Work with Product Management and Engineering to drive improvements to the product helping customers expand their adoption of Glean.

🎯 Requirements

• Bachelor’s Degree in Computer Science or equivalent with at least 3 years of technical consulting experience or Masters in Computer Science or equivalent with at least 1 year of technical consulting experience. • Software development experience in at least two of the following: Python, Java, Go • API and custom data integration experience in a Hybrid or SaaS environment • Technical debugging: log analysis, code analysis, end-to-end transaction tracing • Networking expertise: a deep understanding of networking, including cloud and on-premise networking • Experience in at least two of the following disciplines: Software Engineering, Pre-Sales Engineering, Post-Sales Engineering, Professional Services, Support Engineering • Hands-on experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure • Security & audit experience: able to fully understand the technical and audit framework of the product and represent it with customer security & audit stakeholders • Communication: professional presentation and interaction skills with both customers and internal teams • Project planning: plan and execute the implementation of customer projects • Self-motivated: a proactive approach to delivering service to customers • Detail-oriented: highly organized and methodical, ensuring all issues are managed to completion • Data-driven: utilize metrics and objective measurements to assess success and improvement opportunities for customers • Pre or Post-sales Solution Architect experience in a product-led company is a huge plus