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.
The "Strategic 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.
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 context across multiple businesses simultaneously without confusing them.
You find it interesting that one company has a seasonality problem while another has a CAC problem, rather than wishing you could just focus on one thing.
No passengers
You get better fast.
You build systems rather than just doing the work.
You leave functions better than when you found them.
You do not wait to be told what needs fixing.
You have 3-6 years of FP&A, financial analysis, or a finance-adjacent analytical role.
You can read a P&L, understand unit economics, and explain what a number means in business terms, not just what it equals.
You use SQL to answer financial questions, not just pull data.
You have built something from messy, real-world financial data, not a clean dataset.
You understand revenue recognition across at least one business model well enough to defend it to an auditor.
You know the difference between a technically correct output and a financially correct one.
You have built a cohort model from raw data.
You have worked in a multi-entity environment.
You have experience with Aleph, Looker, Metabase, or a comparable FP&A or BI platform at the build level.
You have automated a reporting process that used to require manual work, and can explain exactly what you built.
You have enough accounting literacy to spot a miscoded transaction and know the correct treatment.
You think of yourself as a data analyst who happens to work in finance.
You need a fully scoped backlog before you can prioritize your own work.
You are more comfortable producing outputs than understanding what they mean.
You reach for percentage-growth assumptions when you need a forecast.
You want to stay in the data layer permanently and have no interest in using it to provide insights.
You are looking for a mature, fully systematized finance function to step into.
Time Commitment
This role is full-time and will need to overlap with US ET for the majority of the workday. It is an exciting opportunity that demands a level of dedication beyond the standard 9 to 5. We need someone who's willing to go above and beyond to help us achieve our ambitious goals, and who's eager to put in the effort to make a real impact.
Location
US-Based - Fully remote.
Compensation
Our compensation packages are designed to make this your dream job for the short and long term. Each compensation package is tailored to suit your priorities and can include base, equity in the companies we help build, and performance bonus based on the success of our portfolio companies. Benefits include medical, dental, vision, and an unlimited time off policy with a two-week minimum.
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