Technical Head of Enginering

Atlassian; New York (NY); Remoto; USD 250.000 - 360.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible work locations

Competitive compensation

Descrizione del lavoro

Atlassian is hiring a Technical Head of Engineering to lead work on Atlassian's Agent Platform, blending people management with deep technical leadership in applied ML, agentic systems, and platform engineering.

The ideal candidate is a hands-on leader who can grow a high‑performing team, guide ML architecture and production code, and align AI initiatives with product outcomes across Atlassian's ecosystem.

Competenze

• Proven ability to lead ML/system teams in an AI-native environment.
• Experience shaping platform capabilities across large product teams.
• Strong technical depth with hands-on coding when required.

Mansioni

• Set technical and execution direction with product/engineering/ML stakeholders.
• Lead and develop a team of engineers focused on agent platform capabilities.
• Be hands-on and write production code when needed.
• Guide decisions across ML systems, agent workflows, evaluation, observability, and operations.
• Establish a strong operating cadence with planning, prioritization, and cross-team communication.
• Ensure speed priorities balance with trust, security, cost, and reliability.

Conoscenze

Technical leadership

People management

ML systems

Production-grade code

Platform engineering

Hiring and mentoring

Descrizione del lavoro

Engineering | San Francisco, United States | Remote, Remote | Seattle, United States | New York, United States

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.

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 measurement, 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.

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.