Назад
54 минуты назад

Software Engineering Manager (AI)

162 400 - 270 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
c1
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

Software Engineering Manager (AI): Leading a team of software engineers to build core products and infrastructure for US government agencies with an accent on backend systems, distributed platforms, and ML tooling. Focus on scaling AI infrastructure, managing high-performing teams, and navigating complex federal compliance and security requirements.

Location: Must be based in San Francisco, CA; St. Louis, MO; New York, NY; or Washington, DC and commute to the office three times per week

Salary: $162,400 - $270,000 USD

Company

Scale AI develops reliable AI systems and high-quality data technologies that power leading models for enterprises and governments.

What you will do

  • Recruit, mentor, and lead a high-performing team of 6-8 engineers working on Generative AI projects.
  • Design and implement scalable backend systems and distributed platforms for Federal customers.
  • Collaborate with product, security, and customer-facing teams to execute the strategic roadmap.
  • Navigate complex public sector compliance requirements and security frameworks to deliver outcomes.
  • Participate in customer engagements to translate requirements into innovative AI solutions.
  • Contribute to the platform roadmap and product strategy for the Federal business.

Requirements

  • Must have or be able to obtain a TS/SCI clearance.
  • 5+ years of full-time engineering experience post-graduation.
  • 2+ years of experience managing engineering teams.
  • Strong track record as an individual contributor and in mentoring successful projects.
  • Experience scaling products within hyper-growth startup environments.
  • Excellent communication skills for translating technical concepts to non-technical stakeholders.

Nice to have

  • Existing TS/SCI Clearance.
  • Experience with generative models, LLMs, and AI platforms.
  • Previous experience in government or government-facing technology roles.
  • Knowledge of cloud-native technologies, full stack development, and MLOps infrastructure.

Culture & Benefits

  • Comprehensive health, dental, and vision coverage.
  • Retirement benefits and equity compensation.
  • Learning and development stipend and generous PTO.
  • Commuter stipend for eligible roles.
  • Inclusive and equal opportunity workplace environment.

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