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Glean

AI-powered enterprise search across applications

Solutions Engineer - LATAM

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Approximately 3+ years of experience 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, including asking precise questions, making assumptions explicit, and explaining integration, identity, security, and architecture tradeoffs.
  • Experience delivering customer-specific demonstrations, workshops, or technical evaluations and adapting explanations for engineers and executives.
  • Ability to define useful proofs of value, including why they are needed, what they will prove, how success will be measured, and what decision follows.
  • Ability to translate technical fit into business value and 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 role’s regional coverage, 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 product capabilities.
  • Clear written communication, dependable follow-through, and a collaborative approach across countries, functions, and stakeholder groups.

Responsibilities

  • 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 connecting 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 without relying on fear, uncertainty, or doubt.
  • Build value cases for strategic opportunities, including customer-specific return on investment and procurement-ready business rationale.
  • Partner with Account Executives to qualify opportunities, map stakeholders, align on meeting objectives, and create clear next steps while maintaining distinct AE and SE ownership.
  • Develop technical and executive relationships across multiple stakeholders and maintain momentum when stakeholders or evaluation requirements change.
  • Bring customer insights, product gaps, and competitive patterns to Product, Engineering, and the broader Solutions Engineering team.
  • Create reusable regional demonstrations, technical guidance, and field learnings to help the team execute consistently.

Desired Qualifications

  • Experience with enterprise AI, search, knowledge management, data platforms, developer tools, enterprise integrations, APIs, cloud platforms, identity and access management, security reviews, competitive evaluations, return-on-investment models, technical business cases, reusable demonstrations, or regional enablement materials is helpful but not required.

About the Company

Glean

AI-powered enterprise search across applications

Glean builds an AI-powered search and knowledge assistant that helps employees find information across all of a company's apps and data. Its core product is an enterprise search tool that understands natural language queries and retrieves relevant results from documents, conversations, tickets, and other sources, plus a chat assistant that can summarize and answer questions using that same information. The system uses deep learning language models that adapt to a company's own terminology and context, improving relevance without manual tuning, and it offers hosting options to align with security and data policies. Compared with competitors, Glean focuses on cross-application search, organization-specific language learning, and a combined search-and-chat experience that delivers direct answers and summaries from internal knowledge sources. Its goal is to help teams work faster by turning scattered information into easily accessible answers, reducing time spent searching.

Company size
1,001-5,000
Company stage
Series F
Total funding
$805M
Headquarters
Palo Alto, CA
Founded
2019

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