Solutions Engineer, LATAM
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 9d ago
The date the source published, not the day we noticed it (2026-10-23). Last seen at its source just now.
We have tracked this listing since 23 Oct 2026 (9 days). The employer's own board has carried it every time we have read it, most recently just now.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Mexico
The description agrees: it names LATAM.
What the ad says
…must be based in Latin America…
…Location: This role is remote and must be based in Latin America…
Pay not stated
Similar roles pay $40–62/hr
Middle 50% of 23 listings that do state pay — Engineering · all levels · Mexico · USD/hour. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Greenhouse employer's own board first seen 9d ago · last seen just now
The listing
- Lead technical discovery with enterprise customers, uncovering 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 without relying on FUD.
- 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 while maintaining distinct AE and SE ownership.
- Multi-thread technical and executive relationships and help 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.
- 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 your explanation for both engineers and executives.
- The 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.
- The ability to translate technical fit into business value, including the 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 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 what a product does.
- Clear written communication, dependable follow-through, and a collaborative approach to working across countries, functions, and stakeholder groups.
- 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 is helpful but not required.
- This role is remote and must be based in Latin America. São Paulo or Mexico City is preferred; remote candidates elsewhere in LATAM may be considered based on role coverage and local hiring feasibility.
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