Principal Technical Program Manager- Agent Quality and API Governance

Overview

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  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.

Responsibilities

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.

Compensation

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.

Pay Ranges

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: $204,300 - $266,725

Zone B: $183,870 - $240,053

Zone C: $169,569 - $221,382

Qualifications

Minimum qualifications8–10+ years of experience in Technical Program Management, Platform Product Management, software engineering, or a related technical discipline.

Experience delivering API platforms, distributed backend systems, developer ecosystems, automation platforms, or AI/ML integrations.

Strong understanding of API architecture, distributed rate limiting, quotas, concurrency controls, resilience patterns, and API lifecycle governance.

Working knowledge of agent execution, function calling, tool binding, action schemas, and integration protocols.

Understanding of agent quality measurement, including task success, accuracy, representative test cases, and human or model-assisted evaluation.

Ability to engage deeply and partner with senior engineers on technical reviews, RFCs, sequence diagrams, and failure-mode analysis.

Proven ability to create structure, clarify ownership, and deliver outcomes in evolving and ambiguous platform domains.

Desired qualifications

Experience with standardized AI agents, agentic…