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Snorkel AI

Finance Manager, DaaS

Snorkel AI

. Maintain the DaaS revenue model covering bookings, acceptance-based revenue and ARR by deal, with scenario planning .

Posted 10/15/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $130,000 - $180,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTableau

About the role

Key responsibilities & impact
  • Maintain the DaaS revenue model covering bookings, acceptance-based revenue and ARR by deal, with scenario planning
  • Partner with RevOps on weekly revenue and ARR forecasts and prepare forecast decks and leadership summaries
  • Reconcile field forecasts with deal-by-deal finance views and quantify coverage, swing deals and risks
  • Track delivery pacing and acceptance against plan and identify execution risks
  • Build bridges and variance analyses for forecast versus actuals and bookings to revenue
  • Build DaaS inputs to annual operating and long-range plans, including revenue, delivery cost, margin and delivery headcount
  • Partner with Accounting on revenue recognition inputs, COGS and margin actuals
  • Maintain the delivery capacity model with Delivery Ops, covering utilization, project mix, headcount per project and cost to deliver
  • Reconcile capacity plans with staffing data and explain variances
  • Translate bookings pipeline into staffing demand and flag hiring or Expert Contributor needs
  • Lead regular capacity planning reviews with Delivery leadership
  • Surface pricing, mix, margin and pacing trends with recommendations
  • Review deal models and pricing templates for accuracy and margin with Deal Desk
  • Analyze customer and product profitability and product economics
  • Improve processes, data quality and cycle time; automate recurring models
  • Support board and investor content for the DaaS business

Requirements

What you’ll need
  • 5–8 years in FP&A, product or business finance, deal desk, or strategic finance; at least 2 at a high-growth tech company
  • Hands-on ownership of a revenue forecast and a unit-economics or pricing model
  • Fluency in gross margin vs contribution margin, cost-to-serve, and pricing, discounting and incentives effects
  • Experience with services or labor-based delivery economics: utilization, headcount per project, contractor mix
  • Expert spreadsheet modeling in Google Sheets / Excel and working SQL
  • Comfortable pulling from a CRM and data warehouse
  • Clear, concise executive communication
  • Comfort with ambiguity and incomplete data
  • Process mindset and ability to drive process adoption
  • Bachelor's degree in finance, economics, engineering or a related field
  • Nice-to-haves: experience in AI/ML, data services, marketplace, services or manufacturing
  • Familiarity with ARR-style metrics and acceptance-based revenue recognition
  • Board or investor materials experience, including fundraise data rooms
  • AI tools and light Python scripting
  • Experience with BI tools such as Looker or Tableau, or planning tools such as Adaptive or Pigment
  • Background at a top consulting, banking or finance-rotation program

Benefits

Comp & perks
  • Meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact company success
  • Support for deepening technical expertise, exploring leadership opportunities, and learning new skills across multiple functions
  • Career growth, learning, and shared success environment
  • Equal employment opportunities and reasonable accommodation for individuals with disabilities