Finance Manager - Data as a Service

The role

The DaaS Finance Manager will drive financial insights for the DaaS business by managing revenue models, delivery capacity, and business insights. This person will partner with Sales, Delivery Ops, and RevOps to provide pricing, margin, and forecasting guidance to leadership.

What you will do

• Maintain the DaaS revenue model including bookings, acceptance-based revenue and ARR.
• Partner with RevOps on the weekly revenue and ARR forecast.
• Reconcile field calls with a deal-by-deal finance view.
• Track delivery pacing and acceptance against plan.
• Build inputs to the annual operating plan and long-range plan.
• Partner with Accounting on revenue recognition, COGS and margin actuals.
• Run and maintain the delivery capacity model.
• Translate bookings pipeline into staffing demand.
• Surface trends in pricing, mix, margin and pacing with recommendations.
• Review deal models and pricing templates for accuracy and margin.

Required qualifications

• 5–8 years in FP&A, product or business finance, deal desk, or strategic finance.
• At least 2 years at a high-growth tech company.
• Hands-on ownership of a revenue forecast or a unit-economics or pricing model.
• Fluency in gross margin vs contribution margin, cost-to-serve, and pricing/discounting flows.
• Experience with services or labor-based delivery economics.
• Expert spreadsheet modeling (Google Sheets / Excel).
• Working SQL.
• Comfortable pulling from a CRM and a data warehouse.
• Clear, concise executive communication.
• Comfort with ambiguity.
• Process mindset.
• Bachelor's degree in finance, economics, engineering or a related field.

Nice to have

• Experience in AI/ML, data services, a marketplace with reusable inventory, services or manufacturing.
• Familiarity with ARR-style metrics and acceptance-based revenue recognition.
• Board or investor materials experience, including fundraise data rooms.
• Uses AI tools and light scripting (Python) to automate recurring analysis.
• Experience with BI tools (e.g., Looker, Tableau) or planning tools (e.g., Adaptive, Pigment).
• Background at a top consulting, banking or finance-rotation program.

Benefits

• Meaningful opportunities to shape priorities and initiatives.
• Influence key strategic decisions.
• Support for building career through technical expertise, leadership opportunities, or learning new skills.

About the company

Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises.