Sales Solutions Engineer (AI)

TL;DR

Sales Solutions Engineer (AI): Building and automating custom hirify.global demo instances for prospects and new customers with an accent on AI-driven content generation and business context mapping. Focus on architecting scalable build pipelines, translating complex business requirements into tailored product structures, and iterating on AI-assisted workflows to improve onboarding efficiency.

Location: Must be based in Mexico

Company

hirify.global is a SaaS platform focused on sales enablement and digital adoption.

What you will do

• Partner with sales and engineering leadership to build custom demo environments for prospects.
• Use AI tools and lightweight scripting to scrape customer websites and generate on-brand hirify.global org structures.
• Adapt demo content to reflect the specific vertical context of diverse clients, from healthcare to fintech.
• Maintain and expand a library of reusable components to accelerate the build process.
• Iterate on the AI-driven build pipeline and provide feedback to product teams to shape future features.
• Ensure high quality and human-like output across all customer-facing deliverables.

Requirements

• Must be based in Mexico
• Background in solutions engineering, sales engineering, customer success, or implementation at a SaaS company.
• Technical aptitude with AI tools like Claude or ChatGPT, including experience chaining them with scripts or agents.
• Strong business acumen with the ability to quickly understand B2B SaaS business models.
• Sharp written English proficiency for customer-facing documentation.
• Ability to manage multiple parallel projects with high autonomy and discipline.

Nice to have

• Light scripting or coding ability.
• Experience in customer-facing roles, including conducting Zoom walkthroughs.
• Familiarity with sales enablement, content design, or technical writing.

Culture & Benefits

• Opportunity to work in a high-stakes, high-visibility role within the GTM team.
• Remote-first work environment with project-based autonomy.
• Direct impact on product evolution through feedback on AI content tools.
• Focus on continuous learning and experimentation with emerging AI technologies.