Solutions Engineer
Glean is an enterprise AI platform that connects company knowledge and systems to provide permission-aware search, AI assistance, and agents.
Funding history
About Glean
Glean develops enterprise Work AI software. Its platform provides enterprise search, a conversational AI assistant, and tools to build, govern, and orchestrate AI agents using a company’s connected data and permissions.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will partner with Account Executives throughout the sales cycle to help enterprise customers turn information and AI challenges into business outcomes. You will lead discovery, design tailored demonstrations and architecture workshops, run technical evaluations, explain technical tradeoffs, and develop value cases. You will also maintain stakeholder momentum and share customer insights and reusable regional materials.
Requirements
- Approximately 3+ years of Solutions Engineering, Sales Engineering, technical pre-sales, solution architecture, technical consulting, or comparable enterprise SaaS customer-facing technical work
- Technical discovery and solution-design skills
- Experience delivering customer-specific demonstrations, workshops, or technical evaluations
- Ability to define proof-of-value scope, success measures, and resulting decisions
- Ability to translate technical fit into business value
- Experience working with technical buyers and Sales through complex customer decisions
- Fluent Spanish and Portuguese
- Professional English
- Knowledge of enterprise AI, search, and modern SaaS platforms
- Clear written communication
Responsibilities
- Lead technical discovery with enterprise customers
- Design and deliver tailored demonstrations, architecture workshops, and customer presentations
- Lead technical evaluations and proofs of value with measurable success criteria
- Explain enterprise AI, search, SaaS architecture, integrations, identity, permissions, security, and operational tradeoffs
- Help customers assess build-versus-buy decisions
- Build customer-specific ROI and procurement-ready business cases
- Partner with Account Executives to qualify opportunities, map stakeholders, and define next steps
- Maintain technical and executive stakeholder relationships throughout evaluations
- Share customer insights, product gaps, and competitive patterns with Product and Engineering
- Create reusable regional demos, technical guidance, and field learnings
Benefits
- Medical, vision, and dental coverage
- Generous time-off policy
- 401(k) plan
- Home office improvement stipend
- Annual education stipend
- Annual wellness stipend
- Regular events
- Healthy lunches daily
Hiring Process
Complete a brief AI-focused exercise or discussion as part of the interview process.