Finance Manager, DaaS

Snorkel AI • San Francisco, CA

7d

About The Position

The DaaS Finance Manager is a critical member of Snorkel AI’s Finance organization and a dedicated finance partner to the DaaS business as it scales. Reporting to the Senior Director of Finance, this role provides financial insights to support decisions about pricing, delivery costs, capacity, revenue, and ARR. The manager partners closely with Sales, Delivery Ops, and RevOps, bringing clear assumptions, consistent definitions, and reliable models to business planning. Success is measured by outcomes such as deals priced to target margin, staffing plans that match demand, and forecasts leadership trusts.

The role maintains the DaaS revenue model, including bookings, acceptance-based revenue, and ARR by deal; partners with RevOps on weekly revenue and ARR forecasting; and prepares forecast materials and analysis for leadership. It also builds annual and long-range plan inputs, analyzes variances, tracks delivery pacing and acceptance, and partners with Accounting on revenue recognition inputs, COGS, and margin actuals.

The manager runs the delivery capacity model with Delivery Ops, reconciling plans to staffing data and translating pipeline into staffing demand. They lead capacity reviews and flag hiring or Expert Contributor needs. The position also delivers business insights, reviews deal economics and pricing materials in partnership with Deal Desk, analyzes customer and product profitability, supports strategic projects and board or investor content, and improves and automates recurring financial processes.

By month six, this person is expected to run the weekly forecast and capacity model with senior leadership reviewing rather than building them, while Deal Desk and RevOps rely on their review of deal economics.

Requirements

• 5–8 years of experience in FP&A, product or business finance, Deal Desk, or strategic finance, including at least 2 years at a high-growth technology company.
• Hands-on ownership of a revenue forecast and a unit-economics or pricing model.
• Fluency in gross margin versus contribution margin, cost-to-serve, and how pricing, discounting, and incentives affect both.
• Experience with services- or labor-based delivery economics, including utilization, headcount per project, and contractor mix.
• Expert spreadsheet modeling skills in Google Sheets or Excel, and working SQL skills.
• Comfort pulling data from a CRM and a data warehouse.
• Clear, concise executive communication, including the ability to write actionable summaries for leadership.
• Ability to make reasoned decisions with incomplete data, state assumptions, and refine analysis as facts emerge.
• Process-improvement mindset, including identifying friction, proposing simpler approaches, and driving adoption.
• Bachelor’s degree in finance, economics, engineering, or a related field.

Nice To Haves

• Experience in AI/ML, data services, a marketplace with reusable inventory, services, or manufacturing.
• Familiarity with ARR-style metrics and acceptance-based revenue recognition.
• Experience preparing board or investor materials, including fundraise data rooms.
• Use of AI tools and light scripting, such as Python, to automate recurring analysis.
• 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.

Responsibilities

• Maintain the DaaS revenue model for bookings, acceptance-based revenue, and ARR by deal, including planning scenarios.
• Partner with RevOps on the weekly revenue and ARR forecast, and prepare the weekly forecast deck and leadership summary.
• Reconcile the field’s commit, forecast, and best-case calls with a deal-by-deal finance view; quantify coverage, swing deals, and risks.
• Track delivery pacing and acceptance against plan and identify execution risks.
• Build bridges and variance analyses, including forecast versus actual and bookings to revenue, for quarterly and annual planning.
• Build DaaS inputs to the annual operating plan and long-range plan for revenue, delivery costs, margin, and delivery headcount; analyze monthly actuals versus plan.
• Partner with Accounting on revenue recognition inputs, COGS, and margin actuals.
• Run and maintain the delivery capacity model with Delivery Ops, covering utilization, project mix, headcount per project, and cost to deliver.
• Reconcile the capacity plan with actual staffing data and explain variances in mix, productivity, and headcount.
• Translate the bookings pipeline into staffing demand and flag hiring or Expert Contributor needs ahead of the quarter.
• Lead regular capacity planning reviews with Delivery leadership.
• Surface trends in pricing, mix, margin, and pacing, and recommend actions to leadership.
• Partner with Deal Desk on deal economics; review deal models and pricing templates for accuracy and margin, and recommend adjustments.
• Analyze cost to deliver and profitability by customer, project, and product, tied to revenue.
• Assess product economics, including what is required to reach margin targets and where to invest.
• Identify inefficient processes and drive improvements to cycle time and data quality.
• Automate recurring models, moving them from manual spreadsheets toward scalable, auditable tools.
• Support board and investor content for the DaaS business.
• Run the weekly forecast and capacity model, review deal economics for Deal Desk and RevOps, and deliver the role’s staged onboarding outcomes.

Benefits

• Meaningful opportunities to shape priorities and initiatives and influence strategic decisions.
• Support for career development, technical expertise, leadership opportunities, and learning across functions.
• An environment designed for growth, learning, and shared success.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level