Director of Sales (AI/Data Infrastructure)

Location: Bay Area preferred; remote or hybrid with travel across the Western U.S. and nationally.

Company

hirify.global provides a unified multimodel contextual data platform connecting enterprise data with LLMs, copilots, and AI agents through graph, vector, document, key-value, and search capabilities.

What you will do

• Carry individual and regional quotas while owning strategic enterprise opportunities from discovery through close.
• Build repeatable West Coast go-to-market plays, including whitespace identification, target-account strategy, and vertical and use-case motions.
• Coach account executives in discovery, qualification, executive engagement, deal strategy, negotiation, and close planning.
• Collaborate with Marketing, Product, Solutions Engineering, alliances, and partners to strengthen pipeline and co-selling execution.
• Build executive relationships with CIOs, CTOs, CDOs, heads of data and AI, engineering leaders, customers, prospects, and regional partners.
• Forecast accurately in Salesforce, maintain pipeline hygiene, analyze territory performance, and represent hirify.global at events and partner summits.

Requirements

• 10+ years of enterprise software sales experience, including at least 3 years in frontline sales leadership.
• Proven success meeting or exceeding quota in complex, multi-stakeholder sales cycles and creating new-logo pipeline.
• Experience with value-based selling and MEDDPICC or similar structured qualification, forecasting, and deal-review methodologies.
• Experience selling deep-tech infrastructure such as data platforms, databases, AI/ML, or cloud technologies.
• Strong executive presence and ability to engage CIO, CDO, VP-level, and other senior business stakeholders.
• Fluent English in written and spoken communication; willingness to travel across the Western U.S. and nationally.

Culture & Benefits

• Contribute to AI and data infrastructure defining the contextual data layer for AI.
• Collaborate with experienced engineering, marketing, and product leaders.
• Work in a high-performance, process-driven sales organization focused on value selling, pipeline rigor, and accountability.
• Help shape how enterprises build AI-powered applications.