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About the role
The Squarespace Finance team is seeking a Finance Manager to serve as a dedicated FP&A business partner to our R&D organization. This is a high-impact, high-autonomy role responsible for overseeing the financial health of a large, complex technology portfolio spanning Engineering, Product, and Squarespace's expanding AI initiatives.
What they're looking for
- 8+ years of experience in FP&A or related finance roles, with experience supporting technical or R&D organizations strongly preferred
- Bachelor's degree in Finance, Economics, Accounting
- Deep expertise in financial modeling and FP&A systems (e.g., Workday,, NetSuite), mastery of Excel required
- Demonstrated ability to operate with a high degree of autonomy — making sound decisions on budget, forecasting, and investment analysis without constant oversight
- Strong strategic thinking skills with the ability to develop long-term financial plans and assess risk across a large, multifaceted portfolio
- Intellectually curious about emerging technology, with a willingness to develop fluency in AI cost structures and how they differ from traditional software spend
More about this role
The Squarespace Finance team is seeking a Finance Manager to serve as a dedicated FP&A business partner to our R&D organization. This is a high-impact, high-autonomy role responsible for overseeing the financial health of a large, complex technology portfolio spanning Engineering, Product, and Squarespace's expanding AI initiatives.
As Squarespace scales its investment in artificial intelligence, this role will be instrumental in building the financial infrastructure to track AI costs, evaluate ROI, and translate complex technology spend into strategic insights for senior leadership. The ideal candidate brings deep financial expertise, strong cross-functional instincts, and the judgment to operate independently in a fast-moving environment.
You will report to the FP&A Director and be based in our New York City office.
- Serve as the primary finance business partner for the R&D organization, including Engineering and Product, owning the full planning cycle: monthly close, forecasting, and annual planning
- Build and own financial frameworks to track AI-related costs end-to-end including model API usage and inference costs, GPU/cloud compute infrastructure, AI tooling and software...
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