About Glean:
Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.
Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.
- Build production AI applications using Glean's platform including custom agents, workflows, connectors, and integrations that solve real business problems
- Develop deep customer relationships and manage executive stakeholder engagement throughout the lifecycle of your engagements
- Guide customers through the end-to-end deployment of Glean in complex enterprise environments, ensuring smooth implementation and rapid time to value
- Stay current on LLM advancements and AI tools to bring the latest capabilities to customer deployments
- Shape the product roadmap by sharing field learnings about platform strengths and opportunities for development
- Build lasting partnerships with customers while identifying new ways to deploy AI throughout your engagements
- 4+ years in technical, client-facing roles such as Forward Deployed Engineer, Software Engineer or Solutions Architect. Former technical founders are strongly encouraged to apply
- Production LLM experience including prompt engineering, agent development, evaluation frameworks, and deployment at scale
- Strong full-stack programming skills and experience building custom integrations in hybrid or SaaS environments, with a track record of shipping production software
- Cloud platform experience with GCP, AWS, or Azure
- Enterprise systems knowledge including networking, security frameworks, and common business application stacks
- High agency and comfort with ambiguity—you spot problems early and solve them independently
- Strong communication skills with both technical teams and business stakeholders
- Founder mentality: scrappy, resourceful, and outcome-driven
- Prior experience in customer‑facing, consultative roles (solutions, support, product management) and comfort presenting to senior leaders.
- Exposure to evaluating AI outcomes (e.g., defining success criteria, using sample tasks, reviewing results) and iterating for quality, latency, and cost.
- Ability to analyze usage signals and customer feedback to inform roadmap and drive adoption.
- This role is hybrid (3-4 days a week in one of our SF Bay Area offices)
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