Advanced Revenue Architecture: Design and scale the models that govern revenue / ARR. You will serve as the "Source of Truth" lead, ensuring that financial logic is consistent across all products and business lines.
Data Science & Forecast Collaboration: Partner deeply with the Data Science team to refine predictive models. You will provide the business context and financial rigor to influence algorithmic forecasts, ensuring they align with commercial reality.
GTM & Business Development Partnership: Act as the primary financial advisor to the Business Development, Sales Ops, and Sales teams. You will pressure-test deal structures, evaluate partnership economics, and provide the financial guardrails for new market initiatives.
Automated Strategy: Move beyond manual spreadsheets by utilizing Python and SQL to build automated, reproducible, and scalable analytical workflows. You will bridge the gap between "Finance" and "Data Products."
Executive Advisory: Support the Senior Director by distilling complex ARR waterfalls and revenue variances into strategic narratives for executive leadership. You will identify "the why" behind the numbers to drive resource allocation.
Full-Spectrum Forecasting: Manage the end-to-end revenue forecasting process, incorporating top-down strategic goals and bottom-up sales funnels to ensure organizational alignment.
Requirements
Experience: 6–8+ years in Finance & Strategy, Strategic Finance, or Revenue Operations within a high-growth SaaS or technology environment.
Technical Stack Mastery: Ability to join and manipulate disparate datasets across BigQuery/Data Warehouses.
Python Scripting: Experience using Python for data manipulation (Pandas/NumPy), automating repetitive financial tasks, or enhancing forecasting accuracy.
SQL: You don't just "know" SQL; you are a power user. You can fluently write complex queries, manage window functions, and manipulate disparate datasets across BigQuery or other cloud data warehouses to drive insights.
BI & Modeling: Proficiency in Google Looker/BigQuery and expert-level financial modeling in Excel/Google Sheets.
Strategic Partnership: Proven track record of influencing non-finance stakeholders, specifically Business Development and Sales Ops, to drive better commercial outcomes.
SaaS/Subscription Expertise: Deep understanding of the mechanics of recurring revenue, including churn attribution, LTV, CAC, and net expansion.
The "Builder" Mentality: Experience taking messy or fragmented data environments and creating structured, scalable financial frameworks from scratch.
Education: Bachelor’s degree in a quantitative field (e.g., Finance, Computer Science, Statistics, Economics); MBA or advanced technical degree preferred.
Tech Stack
BigQuery
Cloud
Numpy
Pandas
Python
SQL
Benefits
Generous performance-based bonus plans to all eligible employees
we share in our success as one team
Rich medical, dental, and vision coverage
Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)
Quarterly all-company wellness days where everyone takes a pause together
Country specific holidays plus a day off for your birthday