Senior Manager, Agentic AI Integrations

Key Responsibilities
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.

Requirements
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 (LangChain, Semantic Kernel, etc.).
Technical Stack: Proficiency in Python, TypeScript, or Go.
Systems Thinking: Experience with high-scale distributed systems, vector databases, and observability pipelines.

More about you...
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, LangChain, Semantic Kernel, etc.), and LLM-based system design.
Proficiency in modern programming languages such as Python, TypeScript, 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.

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.

Skills Required
8-10+ years in software development
4+ years people management experience
Hands-on experience with AI/ML platform engineering, model serving, or agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python, TypeScript, or Go
Experience with high-scale distributed systems
Experience with vector databases
Experience with observability pipelines and monitoring for production systems
Systems thinking with attention to security, scalability, reliability, and maintainability
Operate and optimize highly reliable cloud services (four nines SLA), cost and latency optimization
Experience partnering with Product, Platform, and Data Science teams on AI integrations
Familiarity with MCP architecture, A2A specification, and agent collaboration frameworks
Experience with secure model-to-model communication and enterprise integration patterns
Contributions to open-source AI frameworks or standards development