Solutions Architect (PST/EST Customer hours)

Overview

Glean is seeking a Solutions Architect to serve as the primary technical advisor to Enterprise and Strategic customers post-sale, writing code, building working prototypes, and shipping integrations alongside customers.

What you'll do

• Establish and maintain your role as the customer's primary technical advisor.
• Build working prototypes, tools, and integrations using Glean APIs (Indexing, Search, Chat), RAG workflows, MCP tools, and agent frameworks, directly with and for customers.
• Onboard new data sources and implement custom integrations of Glean into customer work environments and business application architectures.
• Identify and drive expansion opportunities, including AI assistants, agents, and API-driven applications, within each customer's architecture.
• Provide training and guidance to customer technical resources to enable them to manage, support, and extend Glean in their environment.
• Troubleshoot and resolve technical issues for assigned customers, from log analysis to end-to-end transaction tracing.
• Work with Product Management and Engineering to drive product improvements based on patterns observed across customer engagements.

What you'll need

• 6 to 10 years of experience in Solutions Architect, or related roles.
• Communication: professional presentation and interaction skills with both customers and internal teams; able to explain complex AI and integration concepts clearly to technical and non-technical audiences.
• 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.
• Software development experience in at least two of the following: Python, Java, Go.
• Hands-on experience building AI-powered applications: RAG pipelines, chatbots, AI assistants, or agentic workflows using LLMs.
• 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, Developer Relations, Forward Deployed Engineering, or Technical Customer Delivery.
• 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 and audit experience: able to fully understand the technical and audit framework of the product and represent it with customer security and audit stakeholders.
• AI fluency: use AI tools (such as Cursor, Claude Code, GitHub Copilot, or similar) as part of how you work; demonstrate something personally built using AI, explain how it works, debug it live, and defend technical choices.
• Comfortable building and demoing working prototypes under time constraints.

Nice to have

• Pre or Post-sales Solution Architect experience in a product-led company.
• Experience with Indexing, Search, or Chat APIs.
• Familiarity with AI developer tooling such as LangChain, vector databases, or Model Context Protocol (MCP).

Details

• Hybrid role: 4 days a week in the Bangalore office.
• Customer hours: PST/EST.
• Candidates may be asked to complete a brief AI-focused exercise or discussion as part of the interview process.