20 часов назад
Senior Engineering Manager (AI)
174 051 - 273 775$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Engineering Manager (AI) (AI and Developer Infrastructure): Building and leading distributed engineering teams responsible for AI measurement frameworks, context retrieval pipelines, and scalable runtime infrastructure for agentic workflows with an accent on AI effectiveness, model accuracy, reliability, and cost efficiency. Focus on designing evaluation systems, optimizing cloud infrastructure, and productizing internally proven AI platform capabilities across global engineering environments.
Location: Remote, San Francisco, United States
Salary: $174,051–$273,775 base pay annually, depending on US geographic pay zone.
Company
develops collaboration and productivity software including Jira, Confluence, Trello, and Bitbucket, with engineering initiatives focused on cloud and AI.
What you will do
- Build, mentor, and lead a distributed team of engineering managers, principal engineers, and senior software engineers.
- Develop AI measurement and evaluation frameworks for assessing value across codebases and engineering workflows.
- Optimize AI effectiveness and context retrieval pipelines to improve model accuracy, agent reliability, and unit costs.
- Build and operate scalable, resilient, and cost-efficient compute and runtime infrastructure for agentic workflows and developer tooling.
- Shape quarterly planning, capacity allocation, technical roadmaps, and product strategy with executive, product, and cross-functional partners.
- Foster a high-trust, operationally mature engineering culture focused on technical excellence and psychological safety.
Requirements
- 5+ years of experience managing software engineering teams.
- 2+ years of experience managing engineering managers or leading senior and principal engineers.
- Bachelor's or Master's degree in Computer Science or equivalent practical experience.
- Strong background in distributed systems, developer platforms, cloud infrastructure, or developer tooling.
- Experience with applied AI/ML systems, LLMs, AI agents, MCP tooling, RAG, or AI evaluation frameworks.
- Experience with product strategy, distributed asynchronous engineering environments, DevOps, CI/CD, and site reliability practices.
Culture & Benefits
- Flexible remote and office work options where legally supported.
- Health and wellbeing resources.
- Paid volunteer days and community-focused benefits.
- Potential eligibility for benefits, bonuses, commissions, and equity.
- Support for accommodations or adjustments throughout the recruitment process.
Hiring process
- Identity verification may be required as a condition of employment.
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