Principal Technical Program Manager
at Atlassian
Seattle, United States | Remote, Remote | Sydney, Australia, remote, principal, full time, 8–10 years
seen 23d ago
- Azure
- Model Context Protocol
- GCP
- Distributed rate limiting
- API lifecycle governance
- OpenTelemetry
- AWS
- OpenAPI
- API architecture
About the role
Engineering | Seattle, United States | Remote, Remote | Sydney, Australia
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We are seeking a Principal Technical Program Manager to drive technical strategy and cross-functional execution across our agent integration, quality, and API governance platform layers.
In this role, you will lead the platform and programs that help agents connect reliably to first- and third-party tools, establish practical ways to measure and improve agent quality, and govern agent and automation traffic through rate limits, quotas, API standards, and runtime safeguards. The scope will evolve as the platform and industry mature, so success requires strong technical judgment, structured execution, and comfort operating in ambiguity.
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.
What you would do
Agent integrations and tool ecosystem
* Drive standardized tool-calling interfaces, action schemas, and integration patterns across internal and external ecosystems.
* Partner with Security and Identity teams on authentication, token exchange, permission scopes, tenant isolation, and credential management.
* Improve onboarding and lifecycle management for teams and partners adding tools, skills, and automated actions.
Agent quality and observability
* Define practical quality measures for agent accuracy, task completion, tool selection, groundedness, safety, and user experience.
* Establish representative test sets and eval benchmarks, golden scenarios, and regression practices for prompt, model, tool, and workflow changes.
* Partner with engineering teams on agent traces and telemetry that make multi-step execution, tool failures, latency, and quality issues diagnosable.
API monetization, governance and runtime controls
* Lead rate limiting, tenant quotas, concurrency controls, and traffic-shaping strategies across agent APIs and automation triggers.
Read from atlassian.com, last seen 5d ago.