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2 дня назад

Engineering Manager (AI)

405 000 - 485 000$
Формат работы
hybrid
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): Building a centralized identity, verification, and trust-grant platform to ensure safe and responsible access to Claude with an accent on platform scalability and security. Focus on expanding the early team, defining system architecture, and integrating automated decisions with human review.

Location: Hybrid; must be based in San Francisco, CA or Seattle, WA (minimum 25% office presence required)

Salary: $405,000 - $485,000 USD per year

Company

hirify.global is a public benefit corporation dedicated to creating reliable, interpretable, and steerable AI systems.

What you will do

  • Establish and lead the Passport team, hiring early engineers and setting the technical direction.
  • Own end-to-end engineering execution, including planning, prioritization, delivery quality, and incident response.
  • Partner with safeguards, product, and design to shape the roadmap for identity verification.
  • Collaborate with customers and GTM teams to translate trust requirements into engineering priorities.
  • Drive compliance and platform-readiness in partnership with security and legal teams.
  • Recruit, onboard, and grow a high-performing team of engineers.

Requirements

  • Proven experience taking a product or platform from 0 to 1, including early architectural decisions.
  • Strong engineering management skills focused on mentorship, feedback, and team growth.
  • Experience leading teams building critical systems that other internal teams depend on.
  • Ability to collaborate effectively with customers, sales, and customer success teams.
  • Bachelor’s degree or equivalent professional experience.
  • Visa sponsorship is available, though not guaranteed for every candidate.

Nice to have

  • Experience building customer verification or identity systems with third-party providers.
  • Background designing centralized policy or trust systems.
  • Experience with trust & safety tooling and integrating human review into automated decisioning.
  • Experience with multi-tenant platforms consumed by first-party and third-party apps.
  • Background owning compliance and regulatory work within an engineering organization.

Culture & Benefits

  • Collaborative "big science" research environment focused on high-impact AI safety.
  • Competitive compensation and optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and modern office spaces.
  • Inclusive culture that values diverse perspectives in AI ethics.

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