Head Of Enterprise Sales (AI)

TL;DR

Head of Enterprise Sales (AI): Scaling the enterprise revenue engine and go-to-market strategy for compute and RL infrastructure with an accent on building outbound motions and closing high-complexity deals for AI labs and startups. Focus on establishing sales playbooks from scratch, technical value realization, and leading the early AE team.

Location: Flexible (Remote or San Francisco). Visa sponsorship and relocation support provided.

Compensation: $150,000–$300,000 + equity incentives.

Company

hirify.global is building an open superintelligence infrastructure stack that aggregates global compute for model training and reinforcement learning.

What you will do

• Build and lead the enterprise sales function, including processes, playbooks, and quota design.
• Manage full-funnel revenue generation from outbound discovery to contract negotiation and closing.
• Develop GTM motions specifically for selling unified compute and RL post-training offerings.
• Collaborate with engineering and technical teams to design pilots and ensure value realization.
• Define strategic targeting for AI labs, research organizations, and foundation model builders.
• Hire, mentor, and scale the early account executive team.

Requirements

• 7+ years of experience in enterprise sales with at least 2+ years leading a sales team.
• Proven track record of closing infrastructure or platform deals in the $250k–$2M+ range.
• Experience selling to technical buyers such as ML teams, AI labs, or cloud infrastructure buyers.
• Ability to build sales processes, forecasting systems, and playbooks from scratch.
• Experience navigating high-complexity, multi-stakeholder enterprise sales cycles.
• Demonstrated bias for action and ownership in fast-moving, high-ambiguity environments.

Nice to have

• Background in selling ML infrastructure, compute, or RL/post-training platforms.
• Existing professional relationships within AI labs or frontier ML teams.
• Experience scaling GTM organizations from Seed to Series B stages.
• Technical understanding of RLHF, agentic AI, or model customization workflows.

Culture & Benefits

• Flexible work policy with options for remote work or San Francisco office.
• Competitive cash compensation with significant equity incentives.
• Professional development budget for ongoing learning.
• Team off-sites and opportunities to attend industry conferences.
• Visa sponsorship and relocation support available for qualified candidates.