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11 часов назад

Engineering Manager (AI)

Формат работы
remote (только USA)
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 a software engineering team in a player/coach capacity with an accent on delivery, process optimization, and team development. Focus on partnering with Product to align roadmaps, ensuring high-quality software delivery, and leveraging AI-driven workflows to enhance case management solutions.

Location: Must be based in the USA

Company

hirify.global provides an AI-powered HR case management platform that helps teams centralize employee relations, investigations, and performance tracking.

What you will do

  • Manage, coach, and support a team of software engineers.
  • Own team delivery timelines, sprint execution, and day-to-day engineering processes.
  • Partner with Product to align roadmap priorities, scope, and delivery expectations.
  • Ensure work is broken down clearly and delivered with high quality.
  • Identify risks, dependencies, and blockers early in the development cycle.
  • Review technical approaches and occasionally contribute code to unblock the team.

Requirements

  • Must be based in the USA
  • Proven experience managing or leading software engineers in a delivery-focused environment.
  • Strong technical background with the ability to guide implementation and occasionally code.
  • Track record of delivering customer-driven products on deadlines.
  • Experience working closely with Product teams to align roadmap and scope.
  • Experience with LLM usage, AI-assisted workflows, or AI-driven development.

Nice to have

  • Experience with TypeScript, GraphQL, React, PostgreSQL, and Elasticsearch.
  • Background in B2B SaaS.
  • Experience in HR, Legal, Compliance, or case management software.

Culture & Benefits

  • Full-time employment with a focus on team support and professional growth.
  • Opportunity to work on AI-driven products in the HR tech space.
  • Collaborative environment partnering across Product, QA, and Customer Success.
  • Focus on predictable delivery and engineering accountability.

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