Senior Engineering Manager

Atlassian; Austin (TX); Remote; USD 180,000 - 260,000; Full time

Job summary

At Atlassian, the Spark team drives top-of-funnel acquisition using experimentation at scale. You will lead, mentor and coach engineers and engineering managers to deliver measurable customer and business value, while shaping long-term technical strategy.

You’ll partner with product managers and designers, own architecture direction, and champion CI/CD, AI tooling, and resilient systems to ship high-impact features quickly.

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 (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.

Responsibilities

• Lead and develop talent: Manage, mentor, and coach a team of engineers, supporting their individual career growth, skill development, and progression.
• Build a high-performing culture: Foster an inclusive, collaborative, and psychologically safe environment where continuous learning, feedback, and high standards thrive.
• Team composition & hiring: Partner with Talent Acquisition to attract, interview, and hire diverse engineering talent while maintaining balanced team capacity.
• Monitor team health: Proactively track and support team well-being, engagement, and operational sustainability.
• Own team outcomes: Drive execution across multiple top-of--the-funnel workstreams, ensuring the team delivers measurable customer and business value with speed and consistency.
• Prioritization & trade-offs: Make pragmatic delivery trade-offs between feature development, technical debt, reliability, and security.
• Process & workflow optimization: Establish and refine agile practices to streamline execution, remove blockers, and improve developer velocity.
• Technical direction: Deeply understand the team’s architecture, systems, and dependencies to guide the medium-to-long-term technical strategy. Establish AEO methodologies that measure, influence, and simulate AEO Engines.
• Engineering excellence: Champion best practices across design reviews, automated testing, CI/CD, documentation, code quality, and the effective use of AI.
• System resilience: Partner with senior engineers to guide architectural decisions that ensure scalability, modularity, and maintainability.
• Meaningful Impact Early: Your code ships to real users on Atlassian's acquisition surfaces from your first quarter
• Learning and Collaboration: We partner with our teams and products to deliver the best personalized outcomes for our customers
• A culture of measurement: We don't guess. We test, instrument, analyze, and decide based on data. Our metrics tie directly to the customer and the business.

Skills

Team leadership

Distributed systems

Cloud infrastructure (AWS/GCP/Azure)

AI/ML systems experience

Product collaboration

Architecture direction

Education

Bachelor's degree in CS or equivalent

Master's degree preferred

Tools

AWS

GCP

Azure

CI/CD

AI tooling

Job description

Working at Atlassian

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.

About the role

This is an opportunity to join a high-impact Growth team and learn how world-class experimentation works at scale. We’re the Spark team — we light the fire for customer acquisition. We innovate, personalize, and run experiments on top-of-funnel Atlassian surfaces, and build AEO/SEO features that help millions discover and sign up for Atlassian products.

People Leadership & Team Health

• Lead and develop talent: Manage, mentor, and coach a team of engineers, supporting their individual career growth, skill development, and progression.
• Build a high-performing culture: Foster an inclusive, collaborative, and psychologically safe environment where continuous learning, feedback, and high standards thrive.
• Team composition & hiring: Partner with Talent Acquisition to attract, interview, and hire diverse engineering talent while maintaining balanced team capacity.
• Monitor team health: Proactively track and support team well-being, engagement, and operational sustainability.

Delivery & Outcome Ownership

• Own team outcomes: Drive execution across multiple top-of--the-funnel workstreams, ensuring the team delivers measurable customer and business value with speed and consistency.
• Prioritization & trade-offs: Make pragmatic delivery trade-offs between feature development, technical debt, reliability, and security.
• Process & workflow optimization: Establish and refine agile practices to streamline execution, remove blockers, and improve developer velocity.

Technical Leadership & Architecture

• Technical direction: Deeply understand the team’s architecture, systems, and dependencies to guide the medium-to-long-term technical strategy. Establish AEO methodologies that measure, influence, and simulate AEO Engines.
• Engineering excellence: Champion best practices across design reviews, automated testing, CI/CD, documentation, code quality, and the effective use of AI.
• System resilience: Partner with senior engineers to guide architectural decisions that ensure scalability, modularity, and maintainability.

Why Spark?

• Meaningful Impact Early: Your code ships to real users on Atlassian's acquisition surfaces from your first quarter
• Learning and Collaboration: We partner with our teams and products to deliver the best personalized outcomes for our customers
• A culture of measurement: We don't guess. We test, instrument, analyze, and decide based on data. Our metrics tie directly to the customer and the business.

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.

Benefits & Perks

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.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

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.