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Finance Transformation Analyst CFO Team San Francisco, CA

San Francisco, CA, United States

We are building the Business Transformation team to help create and improve processes and systems for Scale. The Business Transformation team is responsible for improving strategic, financial and operational decisions by partnering with the leadership team in making critical decisions across Scale.

The Business Transformation team will play a critical role in ensuring the GTM, Finance, and Accounting teams have the best insights, tools, and processes to run effectively and efficiently. This is our first hire as a Finance Transformation Analyst – you will work closely across finance and accounting and many cross-functional stakeholders to transform our finance capabilities through improved business processes and automation. You will partner with stakeholders to apply critical and strategic thinking, influence decisions, and create solutions that will benefit the whole organization.

You will:

Act as the primary business partner for Finance and Accounting to drive process improvements within key workflows such as Accounting month-end close, financial reporting, planning, billings, revenue, etc.

Play a key role in helping reduce the current Accounting month-end close process

Partner with Finance to continue to translate G Sheet models into our planning system

Build trusted partnerships with many stakeholders (e.g. GTM, Operations, EPD, People Operations, Legal, etc.) to collaborate, identify risks and establish transparency to mitigate unexpected impacts to the Finance and Accounting teams

Drive the company’s tooling strategy and execution of critical initiatives (e.g. quote-to-cash, invoicing, and procure-to-pay)

Create and maintain an inventory of core finance processes, systems, and tools

Ideally you'd have:

Bachelor’s degree with a major in Information Technology and / or Finance and / or Accounting

2+ years of relevant work experience around Finance / Accounting process and systems implementation lifecycles

Knowledge and experience with financial system applications such as Salesforce / CPQ, NetSuite, Coupa, Anaplan, Anrok, Adaptive Systems, Workday, Tableau, Snowflake

Experience in process improvement methodologies and leading organizational transformation practices

Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:

$108,000 — $135,000 USD

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an affirmative action employer and inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at [email protected]. Please see the United States Department of Labor's Know Your Rights poster for additional information.

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

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