Head of Solutions Engineering (AI Infrastructure)

Location: New York City, United States — hybrid

Annual base salary: $280,000–$320,000 USD, plus discretionary bonus, equity, and benefits.

Company

hirify.global builds an end-to-end platform and infrastructure for developing, training, deploying, and scaling AI systems, combining PyTorch Lightning software with high-performance compute through Voltage Park.

What you will do

• Build, lead, and scale the Solutions Engineering organization across enterprise, strategic, channel, and technical specialist motions.
• Own technical sales strategy for complex enterprise opportunities, including discovery, demos, architecture, proofs of concept, technical validation, and executive alignment.
• Partner with Sales leadership to improve win rates, deal velocity, qualification quality, forecast confidence, and technical differentiation.
• Develop repeatable field engineering playbooks for AI infrastructure, ML workflows, platform adoption, technical evaluations, security reviews, and enterprise buying committees.
• Recruit, coach, and develop ML sales engineers, Solutions Engineers, technical leaders, and field specialists.
• Work with Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Enablement to influence the roadmap and create scalable technical messaging and field assets.

Requirements

• 12+ years of experience in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership roles.
• 5+ years building and leading high-performing technical field teams in enterprise technology markets.
• Deep understanding of enterprise evaluation cycles, complex technical selling, proofs of concept, executive alignment, and cross-functional deal execution.
• Ability to explain AI, infrastructure, platform, and architecture concepts clearly to senior business stakeholders and technical buyers.
• Experience partnering with Sales, Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Operations.
• Strong talent judgment, forecasting discipline, field inspection, customer follow-through, and comfort operating in a fast-moving startup.

Nice to have

• Experience with AI infrastructure, cloud infrastructure, developer platforms, MLOps, data platforms, GPUs, or high-performance compute.
• Experience building a Solutions Engineering organization during rapid growth or category creation.
• Hands-on background in software engineering, ML engineering, platform engineering, infrastructure, or data systems.
• Experience supporting direct enterprise sales and partner or channel technical motions.

Culture & Benefits

• Medical, dental, and vision coverage for employees and eligible dependents.
• Meaningful equity, discretionary bonus eligibility, and retirement benefits including U.S. 401(k) matching.
• Unlimited PTO, company holidays, floating holidays, and a two-week company-wide winter break.
• Paid parental and family leave, professional development allowance, wellness benefits, and work-from-home stipends.
• Four weeks of paid sabbatical leave after four years of service, flexible schedules, hybrid work for office-based teams, and complimentary office meals.