Senior Principal Technical Program Manager - Agent Infrastructure
Atlassian
Seattle, WA · $196k–$308k a year · Posted October 21, 2026
Just laid off? Start here: a plan for the first weeks
Want recruiters in Engineering to be able to find you?
Roles at this level, like this one at Atlassian, are often filled through recruiters.
See every open role at Atlassian
More in Washington job market · Technology & Software · Engineering jobs
Where Seattle, WA ranks
Where Seattle, WA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for software and engineering jobs in the Pacific Northwest1,720 openings · of 14
- #1Cities with the most jobs that do not need a four-year degree in the Pacific Northwest316 jobs · of 8
- #2Best cities for AI-skill jobs in the Pacific Northwest26% · of 16
- #2Best cities for software and engineering jobs in the West Coast1,720 openings · of 60
- #2Best cities for energy and utilities pay after cost of living$180k · of 18
- #2Best cities for entry-level jobs that want AI skills in the Pacific Northwest17% · of 12
Rankings about engineering jobs
- Best cities for software and engineering jobs #1 San Francisco (3,318 openings)
- Best cities for engineering pay after cost of living #1 San Mateo ($216k)
- Most requested AI skills in engineering jobs #1 AI tools in daily work (6.1%)
- AI tools named most often in engineering jobs #1 Claude (1.7%)
How AI is used in this kind of work
Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Atlassian has filed one layoff notice in the last twelve months, covering 63 workers, most recently March 2026. These are public WARN filings with state labor departments, and an open role can sit alongside them. See the filings
About the job
Overview
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.
The Opportunity & Strategic Context
We are looking for a Senior Principal Technical Program Manager (P70) to lead the strategy, architecture-informed execution, and ecosystem scaling of our core Conversational AI & Agent Platforms .
In this role, you will drive the evolution of foundational conversational interfaces, distributed agent execution runtimes, extensible skill ecosystems, contextual memory architectures, and policy-driven model routing.
As an industry leader in enterprise collaboration, we are raising the bar: treating our AI platform infrastructure not merely as backend microservices, but as high-leverage Platform Products with first-class state-of-the-art capabilities and developer experience, robust API contracts, resilient operational SLOs, and sound unit economics.
Responsibilities
Drive Platform-as-a-Product Strategy: Champion a "Platform as a Product" mindset and define & lead platform evolution, developer experience, API standards, SDKs, runtime guardrails, and adoption pathways for internal squads and external partners building on top of our AI platform.
Orchestrate Agent & AI Architecture: Partner with Principal Engineers, Architects, and Product Leads to deliver multi-quarter roadmaps for agent execution loops, semantic memory, tool/skill orchestration, and policy-driven model routing.
Lead Large-Scale Platform Evolutions: Direct complex, multi-team platform migrations and convergence efforts with zero disruption to end-user experiences.
Champion Operational Excellence & SLOs: Establish world-class availability, latency budgets, graceful degradation patterns, and end-to-end observability across high-throughput, low-latency AI serving infrastructure.
Govern AI Economics & Efficiency: Contribute to the technical levers of AI unit economics—driving inference cost-per-query optimizations, caching strategies, and capacity planning without compromising quality or safety.
Ensure Enterprise Trust & Compliance: Lead the technical readiness for multi-region data residency, enterprise privacy controls, and AI safety guardrails.
Influence Across Leadership: Align cross-functional teams and executive leadership through structured operating rhythms, clear decision frameworks & artifacts, and transparent communication.
Elevate the TPM Craft: Mentor and coach technical program managers, setting the benchmark for platform thinking, architectural depth, and execution excellence across the organization.
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 go.atlassian.com/payzones 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 : $235,800 - $307,850
Zone B : $212,220 - $277,065
Zone C : $195,714 - $255,516
Qualifications
Must-Have Qualifications
12+ years of experience in Technical Program Management, Platform Product Management, or Distributed Systems Engineering, with 4+ years focused on AI/ML platforms or high-scale developer platforms .
Deep Generative AI & Agentic Fluency: Strong working understanding of modern LLM architectures, agent execution loops, context-window management, Retrieval-Augmented Generation (RAG), embeddings, and semantic memory systems.
Platform Product Mindset: Demonstrated success treating backend APIs, developer tools, and shared runtimes as products measured by adoption, developer velocity, and platform health.
Systems Architecture Depth: Ability to dive into technical concepts such as sequence diagrams, distributed caching, rate limiting, and API gateways alongside senior engineering leadership.
Executive Presence & High-Ambiguity Leadership: Proven ability to turn broad, undefined problem spaces into clear technical roadmaps, structured RFCs, and decision frameworks for senior leadership.
AI Cost Governance: Familiarity and ideally, experience modeling inference unit economics, cost-per-request reduction, and multi-model routing trade-offs.
Desired / Preferred Qualifications
Experience with standardized 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.
Background in multi-cloud, distributed deployment strategies (AWS, GCP, Azure) and hybrid inferencing infrastructure.
Working knowledge of enterprise data compliance standards (GDPR, EU AI Act, FedRAMP).
Background in Software Engineering: Prior experience writing code, designing REST/gRPC/GraphQL APIs, or contributing directly to open-source developer ecosystems.
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
In line with local law, identity verification (which may include use of biomet