Manager of Corporate Finance, Imprint

• This is a highly technical, hands-on role for someone who builds with code as naturally as they build with spreadsheets — and who is energized by replacing manual workflows with automated, scalable infrastructure
• This role is right for someone who thrives in ambiguity, moves fast, and has strong opinions about how modern finance teams should operate
• Hands-on, working knowledge of Python — must have built models, scripts, or automated tools, not just theoretical familiarity
• Demonstrated experience building with AI tools (e.g., Claude, Cursor, or similar) — this is a non-negotiable
• Background in financial planning, corporate finance, or an adjacent analytical domain
• Ability to operate with minimal direction and iterate quickly in a fast-moving environment
• Comfort with ambiguity and a startup mindset — willing to fail fast, course correct, and move forward
• Strong cross-functional communication skills; able to work effectively with Commercial, Accounting, Treasury, and People teams
• 5–10 years of experience in a finance, data, or analytically intensive role

Desirable

• As Manager, Corporate Finance, you will own Imprint's financial planning and analysis function, with direct accountability for building the systems, models, and processes that power forward-looking financial decision-making
• You will partner directly with the Deputy CFO and work cross-functionally with Commercial, Accounting, Treasury, Data and Engineering teams to bring rigor and speed to how Imprint forecasts, plans, and operates financially
• Own the design, build, and maintenance of Imprint's corporate financial model, transitioning it from Excel to Python-based infrastructure
• Automate financial reporting and commentary workflows to reduce manual data pulling and accelerate insights delivery
• Build and maintain forward-looking forecasts (3–6 month horizon) that give the business clear financial visibility
• Partner with Commercial GMs and partner leads to incorporate revenue and cost inputs into planning models
• Collaborate with Accounting on book close, cost pipeline, and reporting accuracy
• Work with Treasury and Vendor Management on cash flow and cost forecasting
• Support headcount planning and its impact on financial forecasts in partnership with the People team
• Use AI tooling (e.g., Claude, Cursor) to build scalable, automated finance workflows
• Identify and eliminate inefficiencies in how financial data is collected, modeled, and reported
• Present financial insights clearly to senior stakeholders, translating complex outputs into actionable decisions
• What Success Looks Like in the First 90 Days
• Migrated major models from Excel to Python, with outputs in Excel or a web-based application, enabling faster iteration and significantly improved accuracy
• Automated key commentary and data pulls, eliminating manual reporting workflows through Google Sheets, a web application, or equivalent tooling
• Established a foundation for forward-looking forecasting (3–6 month outlook), including early governance and process structures
• Built trusted working relationships with Commercial, Finance, Data, and Engineering teams
• Demonstrated the ability to operate independently and iterate quickly on high-priority workstreams