10 часов назад
Release Manager, Engineering (AI)
99 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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