Enterprise Account Executive (AI)

Location: United States; Seattle territory. Travel within the assigned territory is required.

Company

hirify.global provides data infrastructure for AI applications and real-time enterprise workloads.

What you will do

• Build and execute territory strategies for net-new customer acquisition.
• Generate a majority self-sourced pipeline through outbound, account-based, partner, and market-education motions.
• Engage executive, business, technical, security, procurement, and other buying stakeholders.
• Connect AI and data challenges to measurable business outcomes and build ROI, TCO, and operational-impact cases.
• Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
• Partner with Solutions and Forward Deployment Engineers to validate technical fit and establish first production workloads.

Requirements

• 5+ years of quota-carrying B2B enterprise software sales experience.
• Repeated, quantified quota success with ownership of new-logo wins and self-sourced pipeline.
• Experience closing complex, multi-stakeholder deals involving executive, technical, security, legal, finance, procurement, and partner stakeholders.
• Technical fluency in databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
• Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
• B.A., B.S., or equivalent degree in a related field.

Nice to have

• Direct experience selling data, cloud, analytics, AI, or adjacent technical products.
• Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories.

Culture & Benefits

• Work in an emerging AI category moving from experimentation into production.
• Operate with broad ownership of territory strategy, pipeline, forecasting, and commercial outcomes.
• Use AI and research tools productively and responsibly, validating outputs and separating facts from hypotheses.
• Collaborate with technical experts and cross-functional teams on customer production workloads.