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14 часов назад

Engineering Manager (AI)

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
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 coding on Scout, an AI-powered aviation safety intelligence platform that classifies, triages, and links frontline reports across workgroups with an accent on backend or full-stack development, engineering leadership, and compliance readiness. Focus on building SOC 2 and ISO 27001 foundations, establishing scalable engineering processes, and supporting production growth in a safety-critical environment.

Location: Remote; remote-friendly with no location-based output requirement

Company

hirify.global builds high-growth technology startups for faster, cleaner, and safer movement of people and goods, including Scout, an AI-powered aviation safety intelligence platform built with Alaska Airlines.

What you will do

  • Lead and grow the development team while writing code and reviewing pull requests.
  • Own sprint planning, code review standards, release processes, documentation, and overall engineering process maturity.
  • Build practical engineering workflows for SOC 2 and ISO 27001 readiness with the Head of Engineering.
  • Mentor engineers, establish technical standards, and support career development.
  • Partner with Product and Engineering leadership to convert roadmap priorities into technical plans and sprint execution.
  • Support onboarding, incident response, and production issues as Scout scales.

Requirements

  • Meaningful experience as an Engineering Manager, Senior Engineering Manager, hands-on Team Lead, or Tech Lead.
  • Direct experience leading or supporting SOC 2, SOC 1, or ISO 27001 readiness or certification.
  • Strong backend or full-stack background with TypeScript, JavaScript, Node, and React.
  • Experience remaining hands-on with coding and code review while leading a small team.
  • Ability to build engineering processes from scratch in a lean, ambiguous, fast-growing environment.
  • Agentic AI or LLM engineering experience and experience with Databricks.

Nice to have

  • Early-stage startup experience.
  • Aviation, safety, or EHS domain experience.

Culture & Benefits

  • Remote-friendly work focused on output rather than location.
  • Meaningful equity in the venture.
  • Access to product, engineering, design, analytics, legal, talent, finance, and venture capital resources through the UP.Partners ecosystem.
  • Opportunity to work on a production platform serving a major airline and expanding into other high-risk industries.

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