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1. Customer First
Every decision starts with the user in mind.
Whether it's product features, support, or strategy, if it doesn’t make their lives better, it’s not worth doing.
2. Progress, Not Perfection
Done is better than perfect.
Real growth comes from iterating, testing, and improving fast. Perfection slows us down, and customers don't benefit from things that never ship.
3. Radical Ownership
Act like an owner. Because you are one.
If something’s broken, we fix it. If there’s an opportunity, we chase it. We don’t wait for someone else to step up, we lead from wherever we are.
4. Feedback Is a Gift
Direct. Constructive. Always with care.
Feedback - when given with intention and received with openness - is how we sharpen our thinking, improve our work, and build trust.
5. Leave the Ego at the Door
No drama. No politics. No heroes.
We’re here to win as a team. That means listening more than talking, crediting others, and being willing to change our minds.
We’re building an AI-native company and we want finance to be AI-native too. This is not a traditional VP of Finance role.
This is a finance + systems + commercial strategy role where you’ll build the finance function as a real-time operating system: automated, deeply integrated into the product stack, and designed to drive decision-making at speed.
You will reinvent how financial planning, reporting, forecasting, and commercial decision-making is done and build a function that stays lean, automated, and powerful, even as the company scales.
You’ll be responsible for designing and developing the financial model that becomes the company’s “single source of truth” and then building the pipelines, tooling, and AI workflows that keep it always-on.
If you are not fully AI native but have the skills, we can train you in a 2-4 week period to be cutting edge.
We want to see the work, the imagination, the skills and the interest in what is possible before.
1) Build the AI-Native Finance Function From Zero
Build our finance function end-to-end: tooling, systems, models, dashboards, reporting cadence, and controls
Design a finance architecture that is real-time, automated, and scalable
Build processes that are fast and flexible, without losing financial discipline
Create the foundation for a world-class finance org without bloated headcount
You are not inheriting a finance department.
You are building one.
2) Design and Build the Financial Model That Runs the Company
You will design and maintain the core models that leadership uses to make decisions:
ARR model
unit economics model
retention / churn / expansion model
cohort-based revenue model
CAC payback and contribution margin model
pricing model
product usage → revenue model
scenario planning engine (base case / upside / downside)
runway + cash flow model
hiring plan + burn model
Monthly management accounts for Investor meetings
3) Become a Financial Commercial Driver (Not a Reporting Function)
You will sit at the center of the commercial engine and drive decisions like:
Which customers are profitable?
What pricing is optimal?
What usage patterns predict churn?
What segments expand fastest?
Where are we leaking margin?
What is the best GTM motion?
What should we automate vs hire for?
What are the best growth loops?
This is a role for someone who wants to be a business builder, not just financial reporting.
4) Build Automated Data Pipelines Into a Finance Control Center
You will create automated pipelines that ingest, transform, and reconcile data from systems like:
Stripe (billing + subscriptions)
product usage + event data
CRM data (Attio / HubSpot / Salesforce)
marketing attribution
data warehouse tooling (DBT, Snowflake/BigQuery)
bank feeds
expense systems
payroll
Then convert it into:
live dashboards
finance-grade data layers
“agent-ready” datasets
automated alerts and anomaly detection
5) Build AI Workflows That Replace Traditional Finance Work
Instead of building a big finance team, you’ll build an AI-driven system that automates work such as:
anomaly detection on revenue / churn / usage
forecasting updates weekly or daily (not quarterly)
auto-generated board reporting
automatic metric commentary (“why did revenue dip?”)
churn prediction and risk flags
pricing recommendations based on behavior
cost leak detection and margin alerts
contract / invoice workflow automation
intelligent cashflow forecasting
You’ll partner with engineering and ops to build “agentic workflows” that continuously monitor the business and surface insights.
6) Define the Metric System (Single Source of Truth)
You will own metric definitions across the company and enforce consistency, including:
ARR / MRR definitions
net revenue retention (NRR)
gross revenue retention (GRR)
churn and logo churn
expansion and contraction
activation and conversion rates
usage-based revenue metrics
customer profitability
payback period
pipeline coverage and sales efficiency
contribution margin and gross margin
7) Build the Lean Team (Only After Automation)
We want a finance function that stays small and effective.
You’ll:
automate first
hire second
design workflows where one person can do what a traditional team of five would do
build tooling that compounds
You will be expected to personally build early systems, then scale the function with minimal headcount.
Build and maintain our ARR, retention, unit economics, and runway models
Build automated pipelines from Stripe + CRM + product usage into dashboards
Build a “finance operating system” for leadership (always-on, always accurate)
Design finance workflows that run continuously rather than in monthly cycles
Partner with GTM and product to drive pricing, packaging, and monetization decisions
Work directly with engineering to ship automation and agent workflows
Create a scalable monthly close process (lean, fast, auditable)
Own forecasting cadence and financial planning
Drive board/investor reporting and strategic finance insights
Identify the highest leverage automation opportunities across the company
You are AI-native and systems-driven
You see finance as an engineering problem.
You’re excited by:
automation-first operations
agent workflows
data pipelines
replacing repetitive reporting with systems that run themselves
You're commercially hungry
You want to win.
You want to drive growth and profitability.
You want to shape pricing, GTM, and product decisions.
You’re humble, curious, and adaptable
You don’t care about ego or job titles.
You care about building what works.
You’re excited to learn and implement new tools constantly.
You’re comfortable in chaos
You thrive in fast-moving environments where:
requirements evolve weekly
there’s no existing process
you build structure while running at speed
Strong experience building ARR / retention / SaaS models
Ability to work directly with raw data and systems
Strong strategic thinking and commercial instincts
Comfortable operating as both strategist and builder
Clear communicator (you can explain complex truths simply)
Extreme ownership and execution speed
SQL fluency
DBT experience
Claude Code or similar
Stripe billing familiarity
building forecasting systems in modern SaaS businesses
experience building finance stack from scratch
experience in product-led growth (PLG)
experience with usage-based pricing
ability to build lightweight internal tools
strong sense of “finance as product”
Claude Code
Stripe
CRM (Attio / HubSpot / Salesforce)
Data warehouse (BigQuery / Snowflake)
DBT
Segment / product event tracking
Metabase / Looker / Mode
Finance systems (NetSuite / Xero / QuickBooks — depending on stage)
AI tooling + agent frameworks (internal or external)
We’re looking for someone who is:
AI-native: defaults to automation and tooling
hungry: wants to win and build something huge
humble: learns fast, adapts fast, no ego
a builder: wants to create systems, not inherit them
fast: executes at startup speed
commercial: sees finance as a growth driver
Competitive salary + meaningful equity.
$150,000 + founding team equity
Send us:
your CV / LinkedIn
2–3 examples of models, dashboards, or systems you’ve built (if you have them)
2-3 examples of how you have affected commercial improvements in cost or revenue for previous roles
a short note on how you would build an AI-native finance function from scratch