Head of AI Platform Engineering

Atlassian; New York (NY); Hybrid; USD 244,000 - 318,000; Full time

Benefits offered by this job

Health resources

Volunteer days

Equity

Job summary

Atlassian is hiring a Technical Head of Engineering to lead work on the Agent Platform, blending people-management 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 can grow and lead a high-performing team while guiding ML architecture, reliability, and platform decisions, and who can write production code themselves.

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.

Job description

Atlassian is hiring a Technical Head of Engineering to lead work on the Agent Platform, blending people-management 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 can grow and lead a high-performing team while guiding ML architecture, reliability, and platform decisions, and who can write production code themselves.