AI Native - Strategic Pursuits Account Executive (AI)

Location: San Francisco Bay Area, United States

Compensation: $280,000–$320,000 OTE annually, plus equity; 50/50 split and stock options.

Company

hirify.global provides AI infrastructure for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Own strategic AI-native accounts from initial engagement and proof of concept through onboarding, production deployment, and scale-up.
• Lead technical and product discovery with founders, ML engineers, infrastructure leads, and product teams.
• Partner with Field Engineering, Applied AI, Product, and Research to shape tailored solutions, proof-of-concepts, and fine-tuning approaches.
• Translate customer feedback into actionable product and engineering insights and coordinate benchmarking and integration efforts.
• Manage multiple concurrent accounts, maintain deal momentum, and run a disciplined operating cadence.
• Identify prospects through executive and investor networks, industry events, and partnerships while representing hirify.global in the AI startup ecosystem.

Requirements

• 7+ years of experience as a product manager, strategic account executive, venture capital professional, or management consultant serving highly technical buyers and portfolio companies.
• Experience running multi-threaded customer engagements, mapping stakeholders, managing commercial cycles, and maintaining relationship momentum.
• Technical fluency in open-source and proprietary models, model tuning, reserved capacity, and compliance requirements.
• Ability to lead discovery with ML engineers and infrastructure leads and communicate effectively with engineers and executives.
• Proactive, persistent, and creative approach to entering accounts and building lasting relationships.
• Ability to thrive in fast-moving environments and work with startup founders and technical builders.

Culture & Benefits

• Work with innovative AI startups and a lean, high-impact go-to-market team.
• Collaborate with engineers, operators, and AI researchers building AI infrastructure.
• Address challenges including low-latency inference and scalable model serving.
• Competitive compensation, equity, comprehensive benefits, and long-term upside.
• Inclusive environment focused on ownership, learning, and direct impact.