Senior Manager, Agentic AI Integrations

Engineering | Mountain View, United States or Remote | Remote, Remote | San Francisco, United States | Seattle, United States |

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.

Be the backbone of Atlassian’s Agentic AI Integration Products :The Agentic AI Integrations team is responsible for the industry-leading Rovo MCP Server, Agent to Agent integrations as well as on the mission to catapult Atlassian value by leveraging cutting-edge AI capabilities like Claude Skills, ChatGPT/Claude Apps etc., essentially we will be working on anything and everything with AI integrations into the Atlassian ecosystem.

Knack to work on bleeding-edge AI technologies:Passionate to explore and learn AI transformative technologies and quickly pivot from prototyping new initiatives to building highly-scalable enterprise-grade AI products that will be used by 1000s of developers and enterprise users.

System mindset and Technical acumen-ship:Systems thinking mindset with attention to security, scalability, reliability and maintainability. Experience driving technical decisions in ambiguous, fast-moving environments

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

Experience: 8-10+ years in software development with at least 4+ years in people management
.

AI Expertise: Hands‑on experience with AI/ML platform engineering, model serving, or agent frameworks (Lang Chain, Semantic Kernel, etc.).

Technical Stack: Proficiency in Python, Type Script, or Go
.

Systems Thinking: Experience with high‑scale distributed systems, vector databases, and observability pipelines.

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  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.

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

• You have stellar people management skills and experience leading an agile software team
• You thrive when developing phenomenal people, not just great products
• You have worked closely with Data Science, Analytics, and Platform teams
• You bring expertise in building and maintaining high‑quality system components and services
• You are able to drive technical excellence, pushing for innovation and quality
• You have at least 8-10 years of experience in a software development role as an individual contributor
• You have 4+ years of people management experience
• 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, Lang Chain, Semantic Kernel, etc.), and LLM‑based system design.
• Proficiency in modern programming languages such as Python, Type Script, or Go.
• Proven track record of leading cross‑functional engineering initiatives and mentoring technical teams.
• Operating a highly reliable (4 9s SLA), cost optimize, low‑latency and high‑throughput Cloud service.

• Familiarity with MCP…