Used Tools & Technologies
Not specified
Required Skills & Competences
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.
Security @ 3
Python @ 5
GCP @ 3
Java @ 5
Leadership @ 3
AWS @ 3
Azure @ 3
Communication @ 3
API @ 3
Technical Leadership @ 3
Project Management @ 6
LLM @ 3
AI @ 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
About Glean
Glean is the Work AI platform that helps everyone work smarter with AI. What began as advanced enterprise search has evolved into a full-scale Work AI ecosystem powering intelligent Search, an AI Assistant, and scalable AI agents on a secure, open platform. Glean supports 100+ enterprise SaaS connectors, flexible LLM choice, and robust APIs. The company focuses on enterprise trust, agentic capabilities, and measurable business impact across large organizations.
Role overview
We are seeking a Technical Enablement Manager to focus on enablement for Sales Engineers (SEs), Solutions Architects (SAs), AI Outcomes Managers (AIOMs), and Support teams. This role will develop and implement technical training strategies that enhance technical acumen and effectiveness across technical teams, driving performance, efficiency, and productivity.
Responsibilities
- Develop and execute a comprehensive technical training strategy for SEs, SAs, AIOMs, and Support teams, emphasizing deep technical knowledge and practical application of Glean's solutions.
- Collaborate with technical leadership to integrate advanced technical concepts into training and coaching, aligning with technical competencies.
- Partner with Field Enablement to introduce role-specific onboarding content so new hires can understand and communicate Glean's technical value proposition.
- Implement continuous learning programs covering advanced product features, security, integration techniques, troubleshooting, and best practices.
- Develop and maintain a library of technical enablement resources: technical documentation, best-practice guides, and case studies demonstrating Glean's impact.
- Work closely with technical teams to understand needs and develop content that supports demonstrating technical value to customers.
- Partner with technical writing and the SA team to train Glean’s managed implementation partners.
- Monitor and analyze effectiveness of enablement initiatives and use data to optimize technical effectiveness.
- Facilitate training sessions for technical teams on leveraging advanced technical concepts and tools.
Requirements
- 5+ years of experience in a Solutions Architect, Solutions Engineer, technical support, or related role.
- Proven experience in technical training, technical enablement, or a similar role within a technical environment (enablement experience is a plus).
- Deep knowledge of or direct experience with LLMs / AI.
- Experience with cloud environments such as GCP, AWS, or Azure.
- Proficiency in programming languages like Python or Java.
- Familiarity with API configurations and ability to demonstrate technical functionality to non-technical audiences.
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Excellent written and verbal communication skills.
- Strong project management and organizational skills.
- Ability to work effectively in a fast-paced, team-oriented environment.
- Proficiency in content management systems and design software.
- Deep knowledge of technical processes and customer journey mapping.
- Ability to analyze data and use it to make informed decisions.
Location & Office Policy
This is a hybrid role based in the Nashville, Tennessee office (on-site 4 days per week).
Compensation & Benefits
- Base salary range: $140,000 - $180,000 annually.
- Compensation may include variable pay, equity, and benefits depending on role and experience.
- Benefits include Medical, Vision, and Dental coverage; generous time-off policy; opportunity to contribute to 401(k); home office improvement stipend; annual education and wellness stipends; regular company events; and daily healthy lunches.
Interview note
As part of the interview process, candidates will complete a brief AI-focused exercise or discussion to demonstrate how they think about, design, and use AI to drive impact in their role.