The Company

In 2019, we started building profitable startups from scratch. We brought together top minds to drive the highest success rate in the industry and turn company building into a science.

During that time, we’ve built ten high-growth companies, driving $200M+ in revenue. Along the way, we’ve developed an engineering approach to entrepreneurship rooted in algorithms and data.

Now, we’re working to automate company building to a point that we can press a button to launch profitable companies, ventures that can reinvest their own resources to become enterprises that help millions, or even billions, of people.

Position Description

The Finance Operator, Data builds the financial data infrastructure that all of our companies depend on. This is not a data engineering role, or a dashboard builder who hands outputs to other people. This is not a narrow technical role with a well-defined backlog.

You are a finance person first, someone who understands how businesses work, can read a P&L, and knows whether a number is right or wrong. Your differentiator is that you are technically capable in ways most finance people are not. SQL, data modelling, transformations, automation, and reporting infrastructure are tools you reach for naturally. You build things that produce correct financial outputs reliably, at scale, and you eventually communicate what those outputs mean to the people who need to act on them.

In your first 6 months, you will be building more than just communicating. The infrastructure needs to exist before it can be explained. That means your work is less visible than it will eventually be, as you lay the foundation on which everything else runs. It also means you will encounter work that is not yet systematized: data pulls that should be automated but aren’t yet, manual reconciliations that exist because the query hasn’t been written, edge cases that need a human until the logic is built.

While data-focused, this role requires generalist financial acumen, driver-based instincts, multi-company fluency, and the breadth to operate independently at the highest level of the finance function.

What You’ll Do

• Build the data infrastructure all companies depend on
  
  
  • You will build dashboards, models, automated reports, and data checks that are replicated across every company we launch.
  • You will combine your data expertise with your financial and accounting acumen to automate workflows like revenue recognition, cohort analysis, and reconciliations.
  • Build a cohort analysis from raw transactional data by structuring the data, building the model, and making it interpretable to an operator.
  • Create automated financial alerts that catch problems early and surface them automatically to minimize manual financial review.
• Grow into communicating what you build
  
  
  • This role starts in the infrastructure layer but does not stay here.
  • As the foundation matures, you will increasingly be the person who explains what the data means to CEOs, practice area leads, boards, and cross-functional teams.
• Handle the full financial surface area
  
  
  • For any given company, there are valuations, tax considerations, SPV distributions, inter-company billing, and funding proposals. This is not a narrow role.
  • You will encounter the full range of financial questions that arise across a growing portfolio, and be expected to navigate them with genuine competence, not just escalate them.
• A finance person first
  
  
  • You can read a P&L, understand unit economics, and know when a number is wrong. This isn’t because someone told you, but because you understand how businesses work.
  • The technical work, the advisory work, the accounting work all sit on top of this foundation.
• Built for a multi-company environment
  
  
  • You hold financial