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. In the future, everyone will work in tandem with expert AI assistants who find knowledge, create and synthesize information, and execute work. These assistants will free people up to focus on the higher-level, creative aspects of their work.
We’re building a system of intelligence for every company in the world. On the surface, you can think of it as Google + ChatGPT for the enterprise. Under the hood, our platform is the connective tissue between AI and knowledge. It brings all of a company’s knowledge together, understands it at a deep level, provides industry-leading search relevance over it, and connects it to generative AI agents and applications.
Glean was founded by a seasoned team of former Google search and Facebook engineers who saw a need in the enterprise space for their technical depth and passion for AI. We’re a diverse team of curious and creative people who want to help each other get big things done—so we can help other teams do the same.
We're backed by some of the Valley's leading venture capitalists—including Sequoia, Kleiner Perkins, Lightspeed, and General Catalyst—and have assembled a world-class team with senior leadership experience at Google, Slack, Facebook, Dropbox, Rubrik, Uber, Intercom, Pinterest, Palantir, and others.
Role
Glean is seeking a talented Deployment Engineer to join our rapidly expanding, venture-backed startup. Glean is the work assistant with intuition. Find and leverage the exact knowledge you need right when you need it so you and your team can get big things done. Join our hard-working team and elevate your career. We are professional, creative, passionate, and, most importantly - customer-obsessed.
What you will do and achieve
You will be the primary deployment engineer for all new customer deployments in our SaaS environment or the customer’s cloud tenant.
- Based on work orders and specifications from our Sales and Solutions Engineering team, deploy Glean instances for customers.
- Transition Glean instances to or from customers as required.
- Ensure all deployment automations, pipelines, and connectors are implemented fully so the customer’s first product experience is superior.
- Coordinate any customer-required actions to fix configuration or technical issues with your Solutions Engineering partner.
- Troubleshoot any technical issues at any level (cloud infra, networking, storage, application) of the instance to identify root causes, directly fix, raise PR’s for fixes, or escalate to engineering teams when needed.
- When not deploying customer instances, streamline and improve the automation of routine steps and collaborate with product & engineering teams to drive features and automation that will scale the deployment process.
- Track and manage all deployments, including detailed tasks and their status for all stakeholders.
- Decommission and dispose of Glean instances when required.
- Update and suggest improvements to deployment-related documentation.
Who you are
- Bachelor’s Degree in Computer Science or equivalent with at least 4 years of industry experience or Masters in Computer Science or equivalent with at least 2 years of industry experience.
- Communication: professional communicator who works effectively across internal teams and customers on occasion
- Project management: keep projects and tasks up-to-date consistently
- Self-motivated: a proactive approach to delivering service for customers
- Detail-oriented: highly organized and methodical, ensuring all issues are managed to completion.
- Curious by nature: a relentless need to know all aspects of the technical lifecycle from creation, deployment, life, and disposal.
Key knowledge and skills
- Application deployment experience in a cloud environment using deployment automation tools, CI/CD pipelines, etc.
- Software development experience with a minimum junior developer level in Java and Python
- 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
- Security knowledge: understanding and implementation of security tools in an end-to-end cloud application context
- Hands-on experience with Cloud technologies in at least one of the following: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
