Principal Technical Program Manager - Agent Quality and API Governance

About the role

Atlassian is looking for a Principal Technical Program Manager to drive technical strategy and cross-functional execution across its agent integration, quality and API governance platform. The role leads the platform that helps agents connect reliably to first- and third-party tools, defines practical ways to measure and improve agent quality, and governs agent and automation traffic through rate limits, quotas, API standards and runtime safeguards. It is open to Seattle, Mountain View or remote candidates.

Key responsibilities

• Agent integrations: drive standardized tool-calling interfaces, action schemas and integration patterns; partner with Security and Identity teams on authentication, tokens, permissions and credentials; improve onboarding and lifecycle management for teams and partners.
• Agent quality and observability: define quality measures for accuracy, task completion, tool selection, groundedness, safety and UX; set up test sets, eval benchmarks, golden scenarios and regression practices; work with engineering teams on traces and telemetry for multi-step execution, tool failures and latency.
• API governance and runtime controls: lead rate limiting, tenant quotas, concurrency controls and traffic shaping; build safeguards against runaway loops and downstream failures (timeouts, retries, backoff, circuit breakers, graceful degradation); drive API standards, versioning, backward compatibility and deprecation; drive API monetization such as API units and metering.
• Cross-functional execution: turn ambiguous multi-team problems into roadmaps, milestones, ownership models and technical decision documents; facilitate trade-offs such as synchronous versus asynchronous execution and global versus tenant-scoped controls.

Required profile

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

Required skills

• 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 partner with senior engineers on technical reviews, RFCs, sequence diagrams and failure-mode analysis.
• Desired: experience with AI agents and agent-tool protocols (e.g. MCP, OpenAPI-based tool ecosystems), offline LLM evaluation harnesses, synthetic benchmarking, red-teaming, distributed tracing, OpenTelemetry, multi-cloud deployments (AWS, GCP, Azure) and platform metrics linking health, adoption, reliability and user outcomes.

What we offer

• Base pay for new hires in the United States: Zone A $204,300-$266,725, Zone B $183,870-$240,053, Zone C $169,569-$221,382.
• Possible eligibility for benefits, bonuses, commissions and equity.
• Flexible working arrangements (office, home or a mix).