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10 часов назад

Release Manager, Engineering (AI)

99 000 - 190 000$
Тип работы
fulltime
Грейд
senior
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
Release Manager, Engineering (AI) (AI platform and enterprise SaaS): Managing and automating end-to-end software releases for an enterprise AI platform and its applications with an accent on AI-driven deployment pipelines, quality gates, and predictive incident management. Focus on building custom release tooling, coordinating multi-stakeholder engineering programs, and using automated dashboards and LLM-generated summaries to identify dependencies and mitigate delivery risks.

Location: Redwood City, California, United States. Candidates must be authorized to work in the United States without current or future company sponsorship.

Salary: $99,000–$190,000 USD per year, plus equity.

Company

Enterprise AI software company developing an AI platform, industry-specific SaaS applications, and generative AI solutions for enterprise customers.

What you will do

  • Own the end-to-end release strategy and lifecycle for the AI platform and enterprise applications.
  • Build scripts, bots, dashboards, and workflow automations for branching, build coordination, dependency tracking, and stakeholder communications.
  • Define automated quality gates covering reliability, security, and performance.
  • Manage hotfixes and patch releases using AI-assisted root cause analysis and automated triage.
  • Lead technical programs across product, engineering, and infrastructure teams, including planning, readiness reviews, retrospectives, and post-mortems.
  • Use automated reporting and LLM-generated summaries to identify bottlenecks, dependencies, and release risks.

Requirements

  • Bachelor’s or graduate degree in Computer Science, Engineering, or a related technical field.
  • 7+ years of combined release management and technical program management experience in software or enterprise AI.
  • Experience with CI/CD pipelines, GitOps workflows, branching strategies, and deployment automation.
  • Experience managing complex, multi-stakeholder programs from inception through delivery.
  • Understanding of AI/ML infrastructure, cloud-native architectures, and enterprise SaaS delivery models.
  • Proficiency with Jira, Confluence, Agile, SAFe, Scrum, and Kanban, plus strong executive communication and organizational skills.

Nice to have

  • Experience with enterprise AI/ML platforms or large-scale data infrastructure products.
  • Familiarity with Jenkins, GitHub Actions, or similar CI/CD tooling.
  • PMP, PgMP, or SAFe certification.
  • Experience in a publicly traded software company serving enterprise customers.

Culture & Benefits

  • AI-first approach to release management and engineering execution.
  • Competitive compensation package with a generous equity plan.
  • Equal opportunity and affirmative action employment practices.

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