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We are building out the Finance team to help make data-driven and financially sound decisions for Scale. The Finance team drives strategic, financial, and operational decisions by partnering with the leadership team to make critical decisions across Scale.
The Finance team is responsible for owning the company’s budget, driving quarterly and annual planning processes, allocating the company’s resources efficiently, and performing financial analyses to drive key decisions. In this role, you will have a unique opportunity to work closely with the GM of a key business unit and will use your quantitative insights to drive better decision-making for the BU. The ideal candidate will have strong technical skills to support recommendations coupled with strong interpersonal skills to manage various stakeholders. We hope you'll join us!
You will:
- This is a business partnership role on the Strategic Finance team supporting a nascent but quickly growing Product and Business Unit. This role supports the General Manager of the Business Unit and could get exposure to supporting Sales and Engineering teams
- Partner with cross-functional teams to develop strategic initiatives that drive revenue growth, including pricing and GTM strategy, and other strategic initiatives
- Partner with the Engineering and Operation Teams to manage headcount and expense forecasts, own weekly and monthly financial reporting, KPIs, presentations, and other critical analysis requests
- Create internal executive reporting including forecast/close, financial reporting, investor reporting and other management presentations
- Partner with accounting to support month-end close, flux review processes, and deliver high-quality financial reporting
Ideally, you'd have:
- 4+ years of financial analysis experience working directly in a Corporate Finance, Strategic Finance
- 2 years of investment banking experience
- Demonstrated excellent project management skills, ability to manage and manipulate large data sets, critically analyze existing processes, and identify opportunities for process improvement
- Strong knowledge of Google Suite, and MS Office (Excel, Word, PowerPoint); expert Excel modeling skills
Nice to haves:
- A Bachelor’s degree with a major in finance or accounting
- 2 years of management experience in a corporate finance role
- Experience in SQL and Business Intelligence tools a plus
- Experience with Anaplan and/or Adaptive Insights a plus
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.
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:
$150,000—$175,000 USD
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
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.
We comply with the United States Department of Labor's Pay Transparency provision.
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. Please see our privacy policy for additional information.
Top Skills
What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
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