Strategic Account Executive (AI Infrastructure)

Location: Remote (US); up to 30% travel for industry conferences, client meetings, and networking events.

Compensation: OTE $280K–$300K plus equity.

Company

hirify.global provides an AI routing and infrastructure layer for enterprises to access, manage, and optimize large language models across multiple providers.

What you will do

• Build and manage outbound sales pipelines for strategic enterprise accounts.
• Own relationships and account strategies for a limited portfolio of large, complex customers.
• Develop executive relationships across CTO, CIO, CFO, and AI leadership teams.
• Lead the full enterprise sales cycle from lead generation through close, activation, demos, proposals, and ROI analyses.
• Shape enterprise go-to-market strategy, repeatable sales processes, and scaled engagement models.
• Track AI trends, competitive developments, and regulatory changes while providing feedback to the product team.

Requirements

• 7–10+ years of sales experience managing large strategic accounts and complex technical solutions.
• Consistent quota overachievement and experience closing seven-figure deals.
• Experience selling technical or infrastructure products such as AI/ML platforms, developer tools, cloud, data, or APIs.
• Ability to lead consultative, multi-party sales processes and complex negotiations involving enterprise contracts and pricing.
• Strong understanding of the AI/LLM space and ability to explain complex technical and business solutions.
• Strong communication, presentation, CRM hygiene, forecasting, and independent problem-solving skills.

Nice to have

• Experience selling AI, ML, or developer-first products.
• Familiarity with OpenAI, Anthropic, Google, and open-source model ecosystems.
• Experience with global or multi-region enterprise customers.
• Prior startup or high-growth company experience.

Culture & Benefits

• Remote work within the US.
• Equity offered as part of compensation.
• Work in an ambiguous, unstructured environment with opportunities to define processes.
• Exposure to advanced AI infrastructure and enterprise adoption of LLMs.