Senior Engineering Manager

Atlassian Corp.; San Francisco (CA); Remote; USD 210,000 - 274,000; Full time

Benefits offered by this job

Health and wellbeing resources

Volunteer days

Perks and benefits

Job summary

Atlassian is seeking a senior leader to build and mentor a distributed engineering organization in San Francisco. You will drive AI measurement frameworks, optimize AI toolchains, and oversee scalable compute and runtime infrastructure for developer tooling.

You will partner with product, TPMs, and designers to shape strategy and roadmaps, while fostering a culture of learning, experimentation, and operational rigor across multiple time zones.

Qualifications

• 5+ years of experience managing software engineering teams.
• 2+ years of experience managing other engineering managers or leading teams of 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 (AWS/GCP/Azure), or developer tooling.
• Experience with applied AI/ML systems, LLMs, AI agents, MCP tooling, RAG, or AI evaluation frameworks.
• Proven ability to partner with product managers, TPMs, and designers to shape product and platform strategy.
• Track record of operating in distributed, asynchronous global engineering environments across multiple time zones.
• Experience implementing DevOps, CI/CD, and site reliability best practices.
• Eagerness to foster a culture of continuous learning, experimentation, and operational rigor.

Responsibilities

• Build, mentor, and lead a high-performing distributed team of engineering managers, principal engineers, and senior software engineers.
• Drive AI Measurement & Evaluation by building frameworks that measure AI tools and agents value across codebases and workflows.
• Optimize AI effectiveness and context retrieval pipelines, reduce unit costs while improving model accuracy and reliability.
• Build and operate scalable, resilient compute and runtime infrastructure for agentic workflows and developer tooling.
• Be the engineering voice in quarterly planning, capacity allocation, and long-term roadmaps.
• Collaborate with executive leadership, product management, and cross-functional partners to productize AI platform capabilities.
• Foster an open, high-trust, operationally mature engineering culture with high standards of technical excellence and psychological safety.

Skills

Team leadership

Distributed systems

Cloud infrastructure

AI/ML systems

DevOps / CI/CD

Site reliability

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science

Master’s degree in Computer Science

Tools

AWS

GCP

Azure

DevOps tooling

Job description

Engineering | San Francisco, United States | Remote, Remote |

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

Your future team

To be a 100-year company, we are proudly building a world-class engineering organization composed of empowered teams that are equipped with the tools and infrastructure to do the best work of their careers.

The Developer Infrastructure (Dev Infra) organization powers the systems, runtime environments, and tooling that every Atlassian engineer relies on daily. Engineering at Atlassian prioritizes initiatives that advance AI and support our customers' transition to the cloud while consistently delivering maximum value through our core product suite – Jira, Confluence, Trello, and Bitbucket.

Because Dev Infra actively dogfoods and partners directly with commercial product teams, the solutions and infrastructure your team proves internally have a direct pathway to becoming features in Atlassian’s customer-facing developer and AI products. We seek individuals who are eager to shape the future and believe in the power of collaboration to achieve extraordinary results together.

In this role, you will:

• Build, mentor, and lead a high-performing distributed team of engineering managers, principal engineers, and senior software engineers.
• Drive AI Measurement & Evaluation by building frameworks that measure whether AI tools and agents are genuinely delivering value across codebases and workflows.
• Optimize AI Effectiveness and context retrieval pipelines, driving down unit costs while improving model accuracy and agent reliability.
• Build and operate scalable, resilient, and cost-efficient compute and runtime infrastructure for agentic workflows and developer tooling.
• Be the engineering voice in quarterly planning, capacity allocation, and long-term technical roadmaps.
• Collaborate with executive leadership, product management, and cross-functional partners to productize internally proven AI platform capabilities.
• Foster an open, high-trust, operationally mature engineering culture with high standards of technical excellence and psychological safety.

Your background:

• 5+ years of experience managing software engineering teams.
• 2+ years of experience managing other engineering managers or leading teams of senior/principal engineers.
• Bachelor's or Master's degree (preferably a Computer Science degree or equivalent practical experience).
• Strong foundational background in distributed systems, developer platforms, cloud infrastructure (AWS/GCP/Azure), or developer tooling.
• Experience with applied AI/ML systems, LLMs, AI agents, MCP tooling, RAG, or AI evaluation frameworks.
• Demonstrated experience partnering with product managers, TPMs, and designers to shape product and platform strategy.
• Proven track record of operating in distributed, asynchronous global engineering environments across multiple time zones.
• Demonstrated experience implementing DevOps, CI/CD, and site reliability best practices.
• Excited to foster a culture of continuous learning, experimentation, and operational rigor.

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $209,700 - $273,775

Zone B: $188,730 - $246,398

Zone C: $174,051 - $227,233

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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