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4 дня назад

Head of Forward Deployed Engineering (AI)

240 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Head of Forward Deployed Engineering (AI): Building and leading a forward deployed engineering function that integrates an AI-native requirements platform with customers’ PLM, ALM, CAD, simulation, and issue-tracking systems with an accent on production AI workflows, adoption, and account expansion. Focus on designing customer-specific integrations, converting pilots into deployments, scaling usage across engineering organizations, and turning field patterns into repeatable product playbooks.

Location: San Francisco, on-site

Salary: $240,000–$300,000 annually, plus equity

Company

hirify.global provides an AI-native requirements platform that helps hardware and engineering organizations design, validate, and evolve complex systems.

What you will do

  • Build and lead the forward deployed engineering function, including hiring, operating processes, and collaboration with sales, product, and engineering.
  • Own end-to-end customer integrations with PLM, ALM, CAD, simulation, and issue-tracking tools.
  • Design and deploy AI workflows tailored to customer requirements and systems engineering processes.
  • Drive product adoption from individual teams to broader organizational use and identify barriers to usage.
  • Partner with account executives on customer expansion across programs, teams, use cases, and business units.
  • Convert sales-engineering pilots into production deployments and feed customer insights into the product roadmap.

Requirements

  • 7+ years of experience in forward deployed engineering, solutions engineering, software engineering, or a technical customer-facing role.
  • 2+ years of experience leading a team.
  • Strong ability to build integrations, reason about APIs and data models, and work with complex engineering stacks.
  • Hands-on experience building with LLMs or deploying AI-driven workflows for customers in production.
  • Track record of driving adoption and expanding customer accounts.
  • Ability to work with engineers, VPs, and program leads while balancing hands-on execution with building team structure.

Nice to have

  • Experience with requirements or systems engineering and PLM/ALM tools such as Jama or DOORS.
  • Experience in defense, aerospace, or regulated hardware environments.
  • Familiarity with ITAR, CMMC, on-premises, or restricted deployment requirements.

Culture & Benefits

  • Fast-moving environment with a rapidly scaling product, customer base, and team.
  • Hands-on work with customer engineers and real engineering processes.
  • Equity included in the compensation package.

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