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5 дней назад

Engineering Manager (AI)

200 000 - 300 000$
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

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TL;DR

Engineering Manager (AI): Leading and scaling engineering teams to build AI-driven analysis tools for the financial sector with an accent on technical direction, team development, and product ownership. Focus on translating customer problems into technical solutions, driving operational excellence, and raising the engineering bar across the organization.

Location: New York City; San Francisco, CA. Must be based in the US.

Salary: $200,000 to $300,000

Company

hirify.global is an AI platform for investors and bankers that generates alpha and drives upside, powering investment decisions for the world’s largest asset managers.

What you will do

  • Own the technical direction and delivery for your team, setting roadmap priorities and defining architecture.
  • Write and review code, spending meaningful time in the codebase.
  • Hire, coach, and develop engineers, running effective 1:1s and giving direct feedback.
  • Drive operational excellence for the systems your team owns, including monitoring, incident response, and reliability.
  • Collaborate with product and design to translate customer problems into technical solutions.
  • Identify and pay down technical debt, making pragmatic decisions about when to invest in foundations versus when to move fast.

Requirements

  • 7+ years of software engineering experience at a venture-backed startup or top-tier technology company, with at least 2 years in a technical lead or engineering management role.
  • Strong systems design and architecture skills.
  • Experience building and scaling backend systems, data pipelines, or platform infrastructure in production.
  • Track record of hiring and developing strong engineers.
  • Strong product intuition and high ownership.
  • Experience with cloud platforms (e.g., AWS) and modern backend technologies (Python, TypeScript, Go).

Nice to have

  • Experience building or leading teams that work with LLMs, agentic systems, or applied AI/ML in production.
  • Background in applied research or experience bridging research and production engineering.
  • Experience with enterprise customers, particularly in finance, legal, or consulting domains.

Culture & Benefits

  • Unlimited PTO.
  • Medical, Dental, Vision, and 401K insurance.
  • Catered lunch daily and DoorDash dinner credit for late stays.
  • Parental leave: 3 months for non-birthing parents, 4 months for birthing parents.
  • $15k lifetime fertility benefit.
  • Competitive equity package.

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