Senior Manager, Agentic AI Integrations

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. We can hire people in any country where we have a legal entity.

About the role

The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server, Agent to Agent integrations, and leveraging cutting-edge AI capabilities like Claude Skills, ChatGPT/Claude Apps to catapult Atlassian’s value. You’ll work on AI integrations into the Atlassian ecosystem, exploring and learning transformative AI technologies, and pivoting from prototyping to building highly-scalable enterprise-grade AI products used by thousands of developers and enterprise users.

You’ll bring a systems-thinking mindset with attention to security, scalability, reliability, and maintainability, driving technical decisions in ambiguous, fast-moving environments.

Responsibilities

• Build, coach, and mentor a team of software engineers.
• Deliver foundational components for multi-agent systems and lead the adoption of protocols like MCP and A2A.
• Partner with Product, Platform, and Data Science teams to embed AI capabilities across Atlassian.
• Maintain high-reliability services (4 9s SLA) while optimizing for cost and latency.
• Contribute to open specifications and represent Atlassian in AI interoperability working groups.

Requirements

• 8-10+ years in software development with at least 4+ years in people management.
• Hands-on experience with AI/ML platform engineering, model serving, or agent frameworks (LangChain, Semantic Kernel, etc.).
• Proficiency in Python, TypeScript, or Go.
• Experience with high-scale distributed systems, vector databases, and observability pipelines.

Qualifications

• Stellar people management skills and experience leading an agile software team.
• Thrive when developing phenomenal people, not just great products.
• Experience working closely with Data Science, Analytics, and Platform teams.
• Expertise in building and maintaining high-quality system components and services.
• Ability to drive technical excellence, pushing for innovation and quality.
• Hands-on experience in AI or ML platform engineering, including model serving, MCP, A2A, or workflow orchestration.
• Strong understanding of emerging agent frameworks, context protocols (MCP, LangChain, Semantic Kernel, etc.), and LLM-based system design.
• Proven track record of leading cross-functional engineering initiatives and mentoring technical teams.
• Experience operating a highly reliable (4 9s SLA), cost-optimized, low-latency, and high-throughput cloud service.

Preferred Skills

• Familiarity with MCP architecture, A2A specification, and agent collaboration frameworks (e.g., MCP servers, UI clients, and adapters).
• Experience with observability, vector databases, and secure model-to-model communication.
• Background in enterprise integration patterns, API governance, or developer experience platforms.
• Contributions to open-source AI frameworks or standards development initiatives.

Why Join

• Work at the forefront of AI interoperability and system design.
• Influence emerging standards that define how agents and models communicate.
• Collaborate with top engineers and research partners building the next layer of enterprise AI infrastructure.

Pay

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

This role may also be eligible for benefits, bonuses, commissions, and equity. Please confirm the zone for your specific location with your recruiter.

Benefits

Atlassian offers a wide range of perks and benefits designed to support you, your family, and your local community. Our offerings include health and wellbeing resources, paid volunteer days, and more. Learn more.