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Glean is a Work AI platform that combines enterprise search, AI assistants, and scalable AI agents on a secure, open platform. The company serves 1,000+ employees across 50+ industries and 25+ countries, and has been recognized by Fast Company (Top 10 Most Innovative Companies 2025), CNBC's Disruptor 50, and Gartner as a Tech Innovator in Agentic AI.
As a Solutions Engineer for LATAM, you will partner with Account Executives throughout the enterprise sales cycle—from discovery and solution design through tailored demonstrations, technical evaluations, and purchase decisions. This is a hands-on technical role focused on helping customers validate use cases and translate technical evidence into business decisions.
Key responsibilities include:
- Lead technical discovery with enterprise customers to uncover business goals, workflows, technical requirements, stakeholders, decision criteria, and risks
- Design and deliver tailored demonstrations, architecture workshops, and customer presentations that connect Glean's capabilities to specific customer outcomes
- Lead technical evaluations and proofs of value with agreed scope, measurable success criteria, clear customer responsibilities, and decision gates
- Explain enterprise AI, search, and SaaS architecture—including integrations, data flows, identity and permissions, security, and operational tradeoffs—to technical and business audiences
- Help customers evaluate build-versus-buy choices by surfacing lifecycle effort, security, maintenance, and ownership considerations
- Build value cases for strategic opportunities, including customer-specific ROI and procurement-ready business rationale
- Partner closely with Account Executives to qualify opportunities, map stakeholders, align on meeting objectives, and create clear next steps
- Multi-thread technical and executive relationships and maintain momentum when stakeholders or evaluation requirements change
- Bring customer insights, product gaps, and competitive patterns back to Product, Engineering, and the broader Solutions Engineering team
- Create reusable regional demos, technical guidance, and field learnings that help the team execute consistently
The role is remote and must be based in Latin America, with São Paulo or Mexico City preferred. Candidates elsewhere in LATAM may be considered based on role coverage and local hiring feasibility.
Requirements:
- Approximately 3+ years in Solutions Engineering, Sales Engineering, technical pre-sales, solution architecture, technical consulting, or comparable customer-facing technical work in enterprise SaaS
- Strong technical discovery and solution-design skills, with the ability to ask precise questions, make assumptions explicit, and explain integration, identity, security, and architecture tradeoffs
- Experience delivering customer-specific demonstrations, workshops, or technical evaluations and adapting explanations for both engineers and executives
- Judgment to define a useful proof of value: why it is needed, what it will prove, how success will be measured, and what decision follows
- Ability to translate technical fit into business value, including confidence to recommend a narrower evaluation—or no evaluation—when that best serves the customer
- Experience working with technical buyers and partnering with Sales and cross-functional teams through complex customer decisions
- Fluent Spanish and Portuguese for customer-facing conversations and materials across the region, and professional English for internal collaboration
- Curiosity and learning agility in enterprise AI, search, and modern SaaS platforms, with the ability to explain complex concepts clearly without overstating what a product does
- Clear written communication, dependable follow-through, and a collaborative approach to working across countries, functions, and stakeholder groups
- Helpful but not required: experience with enterprise AI, search, knowledge management, data platforms, developer tools, enterprise integrations, APIs, cloud platforms, identity and access management, security reviews, competitive evaluations, ROI models, technical business cases, reusable demos, or regional enablement materials
