Senior Finance Manager, AI & Infrastructure

Atlassian Corp.

Seattle, Northern (WA, KY)

Hybrid

USD 168,000 - 220,000

Full time

10 days ago
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Benefits offered by this job

Health and wellbeing resources
Volunteer days

Job summary

Atlassian is seeking a Senior Finance Manager for AI & Infrastructure in Seattle, offering flexible remote options and exposure to rapidly evolving AI economics. You will own FP&A for Central AI, leading forecasting, budgeting, and long-range planning, while partnering with Engineering, Product, BizOps, and Finance leadership to drive investment decisions and optimize costs.

The role requires deep expertise in financial modeling, cloud provider economics, and token economics, with the ability to

Qualifications

  • 10+years experience with complex financial modeling, driver based forecasting, scenario analysis, budgeting, and long range planning.
  • Experience within the software industry and with cloud infrastructure and cloud provider economics, with the ability to understand technical cost drivers and translate them into financial outcomes.
  • Experience with LLM/token economics and the rapidly evolving AI ecosystem, or demonstrated depth working with comparable consumption based technology models.
  • Strong analytical judgment and the ability to identify the few variables that matter most within large and complex datasets.
  • Ability to operate independently through ambiguity and bring structure to problems that do not have an established playbook.
  • Excellent executive communication skills, including the ability to simplify complex financial and technical topics and develop polished, executive ready deliverables.
  • A high say/do ratio, strong attention to detail, and the ability to thrive in a fast-paced environment where priorities, assumptions, and technology can change quickly.

Responsibilities

  • Serve as a strategic Finance business partner for Central AI, providing financial thought leadership and helping influence investment, product, and operating decisions.
  • Own financial planning and modeling for AI infrastructure and token spend, including forecasting, annual planning, long range planning, scenario modeling, and strategic ad hoc analyses.
  • Develop a deep understanding of AI economics and underlying business drivers, including adoption and usage, token consumption, model mix, infrastructure requirements, vendor pricing, and efficiency levers, translating these drivers into COGS, unit economics, and gross margin implications.
  • Proactively drive process improvements, scaling current financial models, data and tooling and other systems and processes.

Skills

Financial modeling
Forecasting
Budgeting
Scenario analysis
Long-range planning
Executive communication

Job description

Senior Finance Manager, AI & Infrastructure

Finance & Accounting | Seattle, United States | Remote, Remote | San Francisco, United States |

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.

We are looking for a strategic, highly analytical Finance professional to own financial planning and management for our rapidly evolving AI infrastructure and token finance. This role will be responsible for the forecasting, budgeting, financial modeling for our Central AI team, specifically infrastructure and token consumption, partnering closely with Engineering, Product, Business Operations and other Finance leadership.

This is a highly dynamic area where usage patterns, product adoption, model mix, vendor economics, and technology can change quickly. The ideal candidate is comfortable operating in ambiguity, can move quickly from complex data to actionable insights, and has the judgment to determine where deeper analysis is required versus where the business needs a timely directional answer.

Key Responsibilities

Serve as a strategic Finance business partner for Central AI (partnering across, Engineering, Product and BizOps), providing financial thought leadership and helping influence investment, product, and operating decisions.

Own financial planning and modeling for AI infrastructure and token spend, including forecasting, annual planning, long range planning, scenario modeling, and strategic ad hoc analyses that inform key business decisions.

Develop a deep understanding of AI economics and underlying business drivers, including adoption and usage, token consumption, model mix, infrastructure requirements, vendor pricing, and efficiency levers, translating these drivers into COGS, unit economics, and gross margin implications.

Proactively drive process improvements, scaling current financial models, data and tooling (in partnership with Cloud Finops) and other systems and processes

What We're Looking For

This individual should demonstrate:

10+years experience with complex financial modeling, driver based forecasting, scenario analysis, budgeting, and long range planning.

Experience within the software industry and with cloud infrastructure and cloud provider economics, with the ability to understand technical cost drivers and translate them into financial outcomes.

Experience with LLM/token economics and the rapidly evolving AI ecosystem, or demonstrated depth working with comparable consumption based technology models.

Strong analytical judgment and the ability to identify the few variables that matter most within large and complex datasets.

Ability to operate independently through ambiguity and bring structure to problems that do not have an established playbook.

Excellent executive communication skills, including the ability to simplify complex financial and technical topics and develop polished, executive ready deliverables.

A high say/do ratio, strong attention to detail, and the ability to thrive in a fast-paced environment where priorities, assumptions, and technology can change quickly.

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.

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: $168,300 - $219,725

Zone B: $151,470 - $197,753

Zone C: $139,689 - $182,372

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.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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