Atlassian

Technical Head of Enginering

Atlassian • $202K — $318K *
US-Anywhere
+ 3 other locationsRemote
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in engineering management, particularly in AI/ML platforms.
  • Strong hands-on technical background with a focus on applied ML systems.
  • Proven ability to lead and grow high-performing teams in a fast-paced environment.
  • Experience in collaborating with cross-functional stakeholders, including product and data teams.
  • Hands-on coding experience with production level code.

Responsibilities

  • Set technical direction with product and engineering stakeholders.
  • Lead and develop a team focusing on agent platform capabilities, including hiring and performance management.
  • Write production code while overseeing technical projects.
  • Guide decisions on applied ML system architecture and quality standards.
  • Establish effective planning and risk management processes for the team.
  • Balance development speed with quality, security, and operational readiness.
  • Collaborate with other leaders to align product roadmaps and dependencies.
  • Foster an inclusive team culture that supports growth and accountability.

Benefits

  • Health and wellbeing resources for employees and their families.
  • Paid volunteer days to support community engagement.
  • Comprehensive perks designed to enhance work-life balance.
Full Job Description
Overview

Responsibilities Role Summary

We are hiring a Technical Head of Engineering to lead work on Atlassian’s Agent Platform. This role blends people-management responsibilities with deep technical leadership across applied ML, agentic systems, platform engineering, and production-quality AI experiences.

The ideal candidate is a technically strong hands-on leader who is comfortable being either an individual contributor or a people manager. They can grow and lead a high-performing team while staying close enough to the technology to guide ML architecture, quality, evaluation, reliability, and platform decisions as well as write production code themselves. They should be comfortable operating at the intersection of product outcomes, developer experience, AI/ML systems, and scalable platform foundations.

About the Agent Platform Team

The Agent Platform team builds foundational capabilities that make AI agents useful, reliable, secure, and scalable across Atlassian. The team operates in a high-impact area connected to Rovo, Teamwork Graph, Jira agent workflows, and other Atlassian products. Its work helps Atlassian teams and customers create agentic experiences that can reason over work context, orchestrate across tools, and deliver meaningful outcomes in real product workflows. They also insure security of agentic products and help build evaluation systems.

This is a strong fit for a leader who is excited by platform leverage: building reusable systems, patterns, and capabilities that help many product teams move faster while maintaining quality, trust, and operational excellence.

Why This Role Exists
  • Atlassian is investing heavily in AI-native and agentic experiences, and the platform layer is critical to making those experiences production-ready.

  • The team needs a leader who can provide clear direction, build talent, and create an execution rhythm across ambiguous, fast-moving AI platform work.

  • The role requires ML and systems depth to build alongside senior engineers and discuss architecture, evaluation, quality, reliability, and tradeoffs—not just people management.

  • The leader will help translate broad AI strategy into practical platform capabilities that can be adopted across Atlassian products.

Key Responsibilities
  • Set technical and execution direction in partnership with product, engineering, ML, data, and platform stakeholders.

  • Lead, coach, and develop a team of engineers working on agent platform capabilities, including hiring, performance management, career development, and team health.

  • Be technically hands-on and write production code.

  • Guide technical decisions across applied ML systems, agent workflows, context retrieval, evaluation, quality measurement, observability, and production operations.

  • Create a strong operating cadence: goals, planning, prioritization, risk management, decision-making, and cross-team communication.

  • Ensure the team balances speed with quality, trust, security, privacy, cost efficiency, and operational readiness.

  • Partner with leaders across Rovo, Product and platform teams across Atlassian to align roadmaps and dependencies.

  • Build an inclusive, high-accountability team culture where engineers can do their best work and grow their craft.

Compensation

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.

Pay Ranges

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: $243,900 - $318,425

Zone B: $219,510 - $286,583

Zone C: $202,437 - $264,293

Qualifications

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

Atlassian is a leading provider of collaboration, development, and issue tracking software for teams. With over 194,000 customers worldwide, including 85 of the Fortune 100, Atlassian is changing the way teams work. Our products help teams organize, discuss, and complete shared work. Atlassian has a unique business model that allows us to deliver software to teams of all sizes, from small startups to large enterprises. Our products are available on a subscription basis, with no upfront fees or long-term commitments. Atlassian was founded in 2002 and is headquartered in San Francisco, California.
Learn more about Atlassian
Size
6,433 employees
Market Cap
$31.9 billion
Industry
Net Income
-$1.1 billion
Founded
2002
5 Year Trend
+34.9%
Revenue
$1.8 billion
NASDAQ

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