Principal Technical Program Manager
Atlassian · Remote · Full-time · Seattle - United States - Seattle, Washington United States, Remote - Remote, Sydney - Australia - Sydney, 2000 Australia
Posted (23h ago)
- Employer posted
- First seen here
- Repost check
- Same job ID since we first saw it on Oct 15, 2026. If Atlassian reposts it, we keep the original posting date.
- Level
- Staff+
- Work setup
- Remote
- Tech mentioned
- LLMs
- Atlassian hiring
- 73 roles posted in the last 30 days
Job description
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. Minimum qualifications 8–10+ 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 workflows and agent-tool protocols (e.g., Model Context Protocol - MCP, OpenAPI-based tool ecosystems). Familiarity with offline LLM evaluation harnesses, synthetic benchmarking, and red-teaming pipelines. Experience with developer-facing integr
Atlassian job ID: 27630
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