3 дня назад
Senior Engineering Manager (AI)
174 051 - 273 775$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Engineering Manager (AI): Leading the Spark engineering team building customer-acquisition, AEO/SEO, experimentation, and personalization capabilities for Atlassian products with an accent on applied AI, distributed systems, and scalable architecture. Focus on developing engineering leaders, guiding technical strategy, optimizing delivery, and building resilient systems measured through experimentation and customer impact.
Location: Remote; listed locations include Austin, San Francisco, Seattle, and New York, United States. can hire in any country where it has a legal entity.
Base salary in the United States: $174,051–$227,233 for Zone C, $188,730–$246,398 for Zone B, or $209,700–$273,775 for Zone A, plus potential benefits, bonuses, commissions, and equity.
Company
develops collaboration software that helps teams work together across different types of work.
What you will do
- Manage, mentor, and coach engineers while supporting career growth and team health.
- Build an inclusive, collaborative, psychologically safe, and high-performing engineering culture.
- Partner with Talent Acquisition to hire diverse engineering talent and maintain balanced team capacity.
- Own delivery across multiple customer-acquisition workstreams, making trade-offs between features, technical debt, reliability, and security.
- Improve agile processes, remove blockers, and increase developer velocity.
- Guide technical strategy, AEO methodologies, architecture, scalability, testing, CI/CD, documentation, code quality, and AI adoption.
Requirements
- 5+ years of experience managing software engineering teams.
- 2+ years of experience managing engineering managers or leading senior/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 partnering with product managers, TPMs, and designers on product and platform strategy.
Culture & Benefits
- Remote, office, or combined work arrangements are available.
- Work focuses on experimentation, measurement, and data-informed decisions.
- Code reaches real users on acquisition surfaces from the first quarter.
- Health and wellbeing resources, paid volunteer days, and other benefits are available.
- Benefits may include bonuses, commissions, and equity.
Hiring process
- Recruiting support and accommodations are available throughout the process.
- Identity verification may be required as a condition of employment.
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