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3 часа назад

Engineering Manager (AI)

280 000 - 425 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
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
Engineering Manager (AI): Leading the Platform team building APIs, workflows, and interfaces for configuring simulations, running them, and interpreting results with an accent on technical direction, architecture, and translating AI research into reliable product capabilities. Focus on writing code, solving the hardest platform problems, hiring and developing engineers, and delivering production systems at pace.

Location: On-site in New York City, United States

Base salary: $280,000–$425,000 per year; compensation listing also states $400,000–$450,000 with equity.

Company

hirify.global develops AI-based predictive intelligence by simulating human behavior with artificial intelligence agents.

What you will do

  • Lead the Platform team responsible for APIs, workflows, and interfaces used to configure simulations, run them, and interpret results.
  • Build and lead a team of Members of Technical Staff while remaining hands-on as an engineer.
  • Set technical direction, make architecture decisions, review critical designs, and work on the hardest technical problems.
  • Set the platform roadmap with Product and Research and turn new research into reliable product capabilities.
  • Hire exceptional engineers and establish clear priorities, commitments, and delivery standards.

Requirements

  • Previous experience building and operating production systems as a senior engineer before becoming a manager.
  • Experience leading a team of four to ten engineers delivering production systems.
  • Ability to reduce complexity across architecture, code, process, and scope.
  • Ability to give clear feedback early and address performance problems promptly.
  • Willingness to work on-site in New York with a fast-moving team.

Nice to have

  • Experience with developer platforms, APIs, or products built on ML/AI systems.
  • Founder or early-engineer experience at a fast-growth startup.
  • Close collaboration with research teams.

Culture & Benefits

  • Small, mission-driven team with significant ownership and autonomy.
  • Fast-paced environment with an emphasis on urgency and intellectual honesty.
  • Equity and full benefits.

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