Sales Engineer (AI)

Location: Two seats are based in New York, NY and London, UK, with a minimum of 3 office days per week; remote candidates may be considered elsewhere in the relevant region. Regular travel to customer sites is expected, and candidates must hold valid work authorization for their country of hire.

Employment: Full time.

Company

hirify.global develops Nadia, an AI-powered personalized coaching platform for enterprise teamwork, talent strategy, learning, culture, and performance.

What you will do

• Lead technical discovery with enterprise buyers, HR technology owners, IT, InfoSec, CISOs, and security stakeholders.
• Explain Nadia's architecture and map SSO, SCIM, HRIS synchronization, Teams deployment, data residency, encryption keys, and other enterprise requirements to customer environments.
• Classify requirements as standard connectors, configuration, or custom work; write technical scopes for statements of work and define integration specifications.
• Set realistic delivery timelines, route work across core engineering, forward-deployed engineering, and solutions engineering, and manage implementation risk.
• Build reusable reference architectures, security responses, and scoping templates while handling security reviews and questionnaires.
• Use AI-first practices, coding agents, and scripting to create tailored demos and lightweight prototypes for customer frameworks, data, and systems.

Requirements

• 3+ years of experience in sales engineering, solutions architecture, or customer-facing engineering at a B2B SaaS company selling to large enterprises.
• Hands-on fluency with REST and SOAP APIs, SFTP and batch file feeds, webhooks, SAML/OIDC-based SSO, and SCIM provisioning.
• Comfort discussing SOC 2, data retention, encryption and BYOK, single- versus multi-tenant architecture, and private cloud connectivity.
• Experience scoping work delivered by other engineers and owning scope accuracy.
• Strong technical writing skills, including turning discovery calls into concise architectures and open-question lists.
• Sound judgment under pressure and the ability to communicate honestly when customer requirements exceed current delivery constraints.
• AI fluency, including understanding how LLM products are prompted, grounded, evaluated, and where they fail.
• Ability to build tailored demos or lightweight prototypes independently using AI tools, coding agents, Python or JavaScript, APIs, or product configuration.
• Ability to work across time zones, travel regularly to customer sites, and maintain valid work authorization in the country of hire.

Nice to have

• Experience with HRIS and talent systems, especially Workday, or with Microsoft Teams and Microsoft 365.
• Experience evaluating AI quality through evaluation sets or success criteria.
• Experience as an early or first sales engineer at a growth-stage company.

Culture & Benefits

• Full people leadership of the enterprise deployment organization for the assigned region and influence over major launches and enablement practices.
• Direct work with production AI models at enterprise scale and exposure to enterprise AI deployment.
• Competitive base salary with performance bonus, health coverage from day one, generous PTO, company-wide R&R shutdowns, and paid parental leave.
• Retirement plan support through 401(k) or pensions.
• Meaningful equity with performance-based top-up grants.
• High-intensity, growth-oriented environment focused on solving complex problems and delivering major customer outcomes.