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As a member of our Forward Deployed Engineering Team, you will partner directly with our customers to architect transformational AI solutions that address their most critical business challenges. Collaborating with our Go-to-Market, Product, and Engineering teams, you'll bring together technical expertise, knowledge of enterprise AI systems, and client-facing abilities to design and launch production platforms that create measurable business value. You will own the full engagement—from initial discovery and technical planning to solution architecture, development, and production launch. You will operate at the cutting edge of enterprise AI implementations and be among our founding FDEs who establish our forward-deployed approach.
Job Responsibility:
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
Requirements:
4+ years in technical, client-facing roles such as Forward Deployed Engineer, Software Engineer or Solutions Architect
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
Nice to have:
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