Senior Principal Technical Program Manager - Agent Infrastructure
at Atlassian
Seattle, United States | Remote, Remote, remote, senior, 12+ years
seen 23d ago
- Azure
- Model Context Protocol
- Generative AI
- GraphQL
- Platform Product Management
- LLM
- Retrieval-Augmented Generation
- Technical Program Management
- gRPC
- Distributed Systems Engineering
- REST
- GCP
- RAG
- AWS
- OpenAPI
About the role
Engineering | Seattle, United States | Remote, Remote
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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.
We are looking for a Senior Principal Technical Program Manager (P70) to lead the strategy, architecture-informed execution, and ecosystem scaling of our core Conversational AI & Agent Platforms.
In this role, you will drive the evolution of foundational conversational interfaces, distributed agent execution runtimes, extensible skill ecosystems, contextual memory architectures, and policy-driven model routing.
As an industry leader in enterprise collaboration, we are raising the bar: treating our AI platform infrastructure not merely as backend microservices, but as high-leverage Platform Products with first-class state-of-the-art capabilities and developer experience, robust API contracts, resilient operational SLOs, and sound unit economics.
* Drive Platform-as-a-Product Strategy: Champion a "Platform as a Product" mindset and define & lead platform evolution, developer experience, API standards, SDKs, runtime guardrails, and adoption pathways for internal squads and external partners building on top of our AI platform.
* Orchestrate Agent & AI Architecture: Partner with Principal Engineers, Architects, and Product Leads to deliver multi-quarter roadmaps for agent execution loops, semantic memory, tool/skill orchestration, and policy-driven model routing.
* Lead Large-Scale Platform Evolutions: Direct complex, multi-team platform migrations and convergence efforts with zero disruption to end-user experiences.
* Champion Operational Excellence & SLOs: Establish world-class availability, latency budgets, graceful degradation patterns, and end-to-end observability across high-throughput, low-latency AI serving infrastructure.
* Govern AI Economics & Efficiency: Contribute to the technical levers of AI unit economics—driving inference cost-per-query optimizations, caching strategies, and capacity planning without compromising quality or safety.
* Ensure Enterprise Trust & Compliance: Lead the technical readiness for multi-region data residency, enterprise privacy controls, and AI safety guardrails.
Read from atlassian.com, last seen 5d ago.