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Atlassian

Principal Technical Program Manager- Agent Quality and API Governance

Reposted 3 Days Ago
In-Office or Remote
Hiring Remotely in IN, USA
Entry level
In-Office or Remote
Hiring Remotely in IN, USA
Entry level
Lead technical strategy and cross-functional execution for agent integrations, quality measurement, observability, API governance, monetization, rate limits, quotas, runtime safeguards, and platform roadmaps. Translate ambiguous, multi-team challenges into milestones, ownership models, technical decisions, and scalable standards for tool ecosystems and automation platforms.
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Engineering | Seattle, United States | Remote, Remote | Mountain View, United States or Remote
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.
Key Scope & Core Responsibilities
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.
  • Establish safeguards for runaway loops and downstream failures, including timeouts, retries, backoff, circuit breakers, and graceful degradation.
  • Drive API standards, versioning, backward compatibility, breaking-change management, and deprecation practices.
  • Drive API monetization capabilities such as standardization of API units, metering, integration across all experiences and interfaces

Cross-functional execution
  • Turn ambiguous, multi-team problems into clear roadmaps, milestones, ownership models, and technical decision documents.
  • Facilitate trade-offs such as synchronous versus asynchronous tool execution, live versus offline quality signals, and global versus tenant-scoped controls.

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.
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