6 часов назад
Engineering Manager (AI)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager (AI): Leading the platform engineering team responsible for building, deploying, observing, and operating production systems for an AI healthcare product with an accent on reliability, security, infrastructure cost, and AI-native engineering workflows. Focus on improving developer productivity, guiding architecture, contributing to platform code and automation, and building safe agent-ready tooling for high-scale regulated systems.
Location: Hybrid in San Francisco or New York City, United States
Salary: $200,000–$300,000 annual base salary, plus equity
Company
provides free, private AI health guidance and affordable visits with human physicians through HIPAA-compliant consultations available across the United States.
What you will do
- Lead and grow a platform engineering team through goal-setting, coaching, feedback, hiring, and high technical standards.
- Set priorities with application, AI, data, security, and product teams based on engineering impact.
- Improve the reliability, scalability, security, and operational performance of production services while managing infrastructure cost.
- Guide architecture and contribute directly to platform code, infrastructure, automation, and incident response.
- Build an AI-native engineering environment with agent-ready repositories, clear interfaces, automated validation, reusable workflows, and operational guardrails.
- Track delivery speed, CI performance, reliability, self-service adoption, and operational load while turning incident follow-up into durable improvements.
Requirements
- Experience managing and developing platform, infrastructure, or developer productivity engineers.
- Strong technical background with the ability to contribute production code, infrastructure, and automation.
- Experience improving developer environments, CI/CD, observability, service templates, or internal engineering tools.
- Daily experience using coding agents and sound judgment about where automation helps and where human review remains essential.
- Experience hiring, coaching, giving direct feedback, and helping engineers grow, with clear communication across engineering and company leadership.
- Typically eight or more years of engineering experience, including two or more years managing engineers; equivalent evidence of impact is valued over an exact title or tool match.
Nice to have
- Experience with AI infrastructure, regulated systems, disaster recovery, or high-traffic applications.
Culture & Benefits
- Small, senior engineering team with high autonomy.
- Application teams own the services they ship, while platform provides shared infrastructure, tools, and standards.
- High standards for patient safety, privacy, reliability, and code quality.
- Benefits reimbursement and equity.
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