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2 дня назад

Forward Deployed Engineer (AI)

236 000 - 289 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Forward Deployed Engineer (AI): Building customer-facing technical partnerships and onboarding programs for teams deploying AI-native, full-stack applications on Render with an accent on cloud infrastructure, Postgres architecture, migrations, and hands-on production delivery. Focus on designing the FDE playbook, solving complex database and platform challenges, and turning technical engagements into durable production adoption and expansion.

Location: San Francisco or remote from the United States or Canada

Salary: $236,000–$289,000 per year, plus equity

Company

hirify.global builds a developer-first cloud platform for AI-native, full-stack, multi-service applications, combining persistent compute, autoscaling, orchestration, and observability.

What you will do

  • Act as a dedicated technical partner for strategic customers through architecture reviews, migration planning, hands-on delivery, and ongoing technical coverage.
  • Run scoped onboarding intensives for high-growth startups from intake and success criteria through hands-on execution.
  • Lead Postgres architecture, performance tuning, replication, and complex migrations from Heroku, AWS, and other cloud providers.
  • Drive production activation and expansion by connecting technical outcomes with adoption, renewal, and revenue.
  • Conduct architecture and health reviews, roadmap sessions, incident follow-up, and root-cause analysis while serving as an escalation point for difficult technical issues.
  • Define the FDE playbook, engagement templates, success metrics, reference architectures, and product feedback processes.

Requirements

  • 8+ years of hands-on experience in a customer-facing engineering role such as forward deployed, solutions, customer, or professional services engineering.
  • Strong software engineering fundamentals and the ability to write production-quality code inside customer codebases.
  • Deep experience with cloud infrastructure, containers, CI/CD, networking, autoscaling, and production workloads.
  • Deep Postgres and database expertise, including schema design, performance tuning, replication, and production data migrations.
  • Fluency with AI tools and a strong understanding of LLM application architectures.
  • Excellent communication, self-direction, comfort with ambiguity, and commercial awareness connecting technical wins to expansion and revenue.

Nice to have

  • Migration experience from Heroku, AWS, or other cloud providers.
  • Hands-on experience shipping AI and LLM applications, including RAG pipelines, agent frameworks, or inference workloads.
  • Experience as a first hire or founding member of a new program.

Culture & Benefits

  • Environment centered on integrity, humility, learning, thoughtful debate, feedback, trust, and respect.
  • Four weeks of paid vacation and 14 weeks of fully paid parental leave for all parents.
  • Employer-paid medical, dental, and vision coverage, with FSA and HSA options.
  • Long-term disability, life insurance, 401(k), wellness and mental-health stipend, and cell phone and internet subsidy.
  • Commuter benefits for Bay Area employees, home-office stipends for remote employees, and continuous learning support.
  • Generally not eligible for new visa sponsorship; existing visa transfers may be sponsored at business discretion and require authorization.

Hiring process

  • The interview process is tailored to the role and designed to provide a thoughtful, respectful candidate experience.

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