Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
API @ 3
AWS @ 3
Azure @ 3
Communication @ 6
Customer Support @ 3
GCP @ 3
GitHub @ 5
Jira @ 5
Kubernetes @ 3
LLM
Linux @ 3
OAuth @ 3
SQL @ 3
Security
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Glean is seeking a technically curious and customer-obsessed Designated Technical Support Engineer to provide proactive and reactive technical support for designated enterprise customers. The role involves troubleshooting complex issues, supporting SaaS integrations and content sources, maintaining customer-specific documentation, coordinating remediation plans, and partnering with teams across Glean to improve products, processes, and support services.
Responsibilities
- Own proactive and reactive support for designated Glean customers and prioritize customer issues.
- Meet regularly with assigned customers to review issues, develop resolution plans, and drive continuous improvement.
- Provide timely responses and updates through collaborative communication channels.
- Create and maintain customer-specific runbooks and knowledge articles.
- Provide first response, technical troubleshooting, resolution, and follow-through for customer issues and inquiries.
- Assist customers with the configuration, setup, and verification of content sources and product features.
- Educate customers on Glean product features.
- Identify system and user health issues and create and execute remediation plans.
- Handle customer-impacting alerts in coordination with customer administrators and system resources.
- Work with teams across Glean to improve products, processes, and services.
- Drive projects that improve the scalability and efficiency of support and the customer support experience.
- Coordinate support activities with assigned customers, including stringent access and security processes.
- Represent customer needs in product and security improvement initiatives.
- This role is dedicated to select customers and requires additional background screenings, clearances, training, certification, use of customer-provided equipment, and extended on-call shifts based on customer contractual obligations.
Requirements
- Technical curiosity and a desire to build and share technical knowledge.
- Strong technical problem-solving skills, including troubleshooting and isolating issues to their root cause.
- Ability to debug issues by searching and reading application logs, analyzing stack traces, and reviewing browser trace files.
- Experience in Customer Solutions Engineering, Support Engineering, or Professional Services.
- Hands-on experience with search technologies, knowledge technologies, or SaaS-based system integrations.
- Experience with at least one cloud platform: Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure.
- Experience troubleshooting REST API issues.
- Working experience with SSO, SAML, OAuth, and network troubleshooting.
- Ability to fully document managed issues and contribute to the support knowledge base.
- Strong communication and presentation skills.
- Detail-oriented, organized, methodical, and data-driven approach.
Preferred Qualifications
- Knowledge of SQL and databases.
- Basic Kubernetes knowledge.
- Intermediate or advanced Linux skills.
- Experience using GitHub, Jira, and Confluence.
- Basic knowledge of large language models and how GPT works.
Location
- Hybrid, four days per week in one of Glean's San Francisco Bay Area offices.
Compensation And Benefits
- Standard base salary range: $120,000–$190,000 annually.
- Certain roles may be eligible for variable compensation, equity, and benefits.
- Medical, vision, and dental coverage.
- Generous time-off policy.
- 401(k) plan.
- Home office improvement stipend.
- Annual education and wellness stipends.
- Regular company events and healthy lunches daily.
- Inclusive and diverse company culture.
Interview Process
Candidates complete a brief AI-focused exercise or discussion covering how they think about, design, and use AI to drive impact. Prior Glean experience is not required.
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