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 practical business outcomes. You will lead discovery, design tailored demonstrations and architecture workshops, run technical evaluations and proofs of value, and explain technical tradeoffs to business and technical stakeholders. You will develop ROI-backed business cases, manage technical and executive relationships, and share customer insights, product gaps, and regional learnings.
Requirements
- Approximately 3+ years of Solutions Engineering, Sales Engineering, technical pre-sales, solution architecture, technical consulting, or comparable enterprise SaaS customer-facing technical experience.
- Strong technical discovery and solution-design skills.
- Experience delivering customer-specific demonstrations, workshops, or technical evaluations.
- Ability to define proofs of value and measurable success criteria.
- Ability to translate technical fit into business value.
- Experience working with technical buyers and partnering with Sales and cross-functional teams.
- Fluent Spanish and Portuguese for customer-facing work.
- Professional English for internal collaboration.
- Knowledge of enterprise AI, search, and modern SaaS platforms.
- Clear written communication and dependable follow-through.
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 and decision gates.
- Explain enterprise AI, search, and SaaS architecture to technical and business audiences.
- Help customers evaluate build-versus-buy considerations.
- Build customer-specific ROI and procurement-ready business cases.
- Partner with Account Executives to qualify opportunities and align next steps.
- Manage 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 coverage.
- Vision coverage.
- Dental coverage.
- Generous time-off policy.
- 401k plan.
- Home office improvement stipend.
- Annual education stipend.
- Annual wellness stipend.
- Healthy lunches daily.
Hiring Process
Brief AI-focused exercise or discussion as part of the interview process.