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49 минут назад

VP of Solutions Engineering (AI Infrastructure)

250 000 - 400 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
VP of Solutions Engineering (AI Infrastructure): Building and scaling a technical field organization that helps enterprise customers adopt AI infrastructure, ML workflows, and platform solutions with an accent on technical sales strategy, POCs, architecture reviews, and executive alignment. Focus on recruiting technical field leaders, establishing repeatable pre-sales standards, improving deal execution, and translating customer patterns into product and go-to-market improvements.

Location: Hybrid in New York City, United States

Salary: $250,000–$400,000 USD annual base salary, 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 with large-scale compute capabilities from 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, POCs, 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, and security reviews.
  • Recruit, coach, and develop Solutions Engineers, ML Solutions Engineers, technical leaders, and field specialists.
  • Partner with Product, Engineering, Customer Success, Partnerships, Marketing, and Revenue Enablement to influence the roadmap and create scalable field assets.

Requirements

  • 12+ years of experience in solutions engineering, sales engineering, field engineering, technical pre-sales, ML infrastructure, or related technical leadership.
  • 5+ years building and leading high-performing technical field teams in enterprise technology markets.
  • Deep understanding of complex technical selling, enterprise evaluation cycles, POCs, executive alignment, and cross-functional deal execution.
  • Ability to explain AI, infrastructure, platform, and architecture concepts 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 computing.
  • Experience building a Solutions Engineering organization through 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

  • Builder-oriented environment focused on urgency, ownership, open communication, craftsmanship, and long-term thinking.
  • Comprehensive 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 and work-from-home stipends, and a paid sabbatical after four years.
  • Flexible schedules and a hybrid work model for office-based teams, with complimentary meals at office hubs.

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