Applecart: Director of Finance
Midtown Manhattan
New York, NY 10018

Employee Testimonials

About the Role

As Director of Finance, you’re an enthusiastic, strategic, and analytical thinker with a background in finance or corporate development, ideally in a technology company or have worked directly with technology companies. You are excited to work at a fast-growing, direct-to-consumer startup.

What you will do:

  • Oversee the company’s financial plan and oversee monthly reporting packages to our Co-CEOs
  • Surface the performance of our key financial and operational metrics to our senior leadership team and the Board, through quarterly presentations
  • Analytical support of all financing-related activities, including Excel modeling, projections, and report generation for P&L, cash flows, and user growth
  • Lead the company’s annual budgeting process, engaging directly with teams to ensure completeness and accuracy
  • Oversee bookkeeping, payroll, and tax preparation - managing external back office firms to ensure accuracy and compliance


  • Bachelor’s or Master’s degree in Finance or other quantitative field
  • Minimum of 3 to 5 years of experience in Investment Banking, Corporate Development, or Consulting
  • Proven knowledge base / track-record at building financial models for a direct-to-consumer technology business
  • Phenomenal analytical and quantitative skills
  • Comfortable engaging with C-level executives and senior leadership

Employee Testimonials

Danny Vilela
Data Scientist

"At Applecart, no two problems are the same. As data scientists, this means we take inspiration from cutting-edge research, prototype minimum viable solutions, and design custom implementations that are performant at scale. Our culture is incredibly collaborative and strongly encourages growth, so we’re always trading ideas with and receiving constructive criticism from other data scientists and engineers."

D. Clay Hambrick, PhD
Senior Software Engineer & Architect

"At Applecart, I get to work every day right at the intersection of data engineering and data science: architecting and coding scalable data pipelines while making dozens of data-driven decisions around data schemas, feature engineering, entity resolution and more. Coming from Google, I appreciate the dynamic, fast-paced startup culture and the high level of autonomy & ownership I have over my work."