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 @ 3
API @ 3
AWS @ 2
Azure @ 2
Communication @ 3
GCP @ 2
Java @ 5
LLM @ 3
Python @ 5
Security @ 3
- 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 the Work AI platform that helps organizations work smarter with AI. Its platform includes enterprise search, an AI Assistant, scalable AI agents, more than 100 enterprise SaaS connectors, flexible LLM choice, robust APIs, and enterprise and personal knowledge graphs.
Responsibilities
As a Solutions Engineer, you will partner with sales to design, demo, and prove the value of Glean's Work AI platform for customers. You will lead technical discovery, architect integrations and data connections, navigate security discussions, and help enterprises adopt AI solutions.
- Partner with Account Executives on complex, multi-stakeholder deal cycles involving C-level executives.
- Create and demonstrate custom environments based on customer industry and line of business.
- Run and manage technical proof-of-concept cycles.
- Conduct customer-facing technical discovery calls and other technical activities.
- Lead security discussions to address customer concerns about Glean's security posture.
- Work cross-functionally with product and engineering to deliver customer requests and represent the voice of the customer.
- Develop ROI and business justification reports and presentations.
Requirements
- 5+ years of sales engineering or solution consulting experience in a SaaS organization.
- Bachelor's degree in Computer Science or a related field.
- Excellent written and verbal communication skills.
- Highly motivated, driven, and self-starting.
- Ability to work in a fast-paced, team environment.
- Demonstrated experience partnering with Account Executives to run technical deal cycles with enterprise customers.
- Consultative approach to solving customer business challenges, with a record of overcoming technical and security objections.
- Familiarity with a cloud environment such as GCP, AWS, or Azure.
- Proficiency in Python or Java.
- Ability to configure, monitor, and maintain API-based integrations.
Location
This is a hybrid role requiring four days per week in the Mountain View office.
Compensation And Benefits
The standard OTE range is $160,000–$235,000 annually. Compensation is determined by factors including location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
Benefits include medical, vision, and dental coverage; generous time off; a 401(k) plan; a home office improvement stipend; annual education and wellness stipends; regular company events; and healthy lunches daily.
Glean is committed to building and sustaining a diverse, inclusive workplace.
AI-First Mindset
As part of the 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.