Strategic FP&A Manager: Revenue Forecast & Pricing

Snorkel; San Francisco (CA); Presencial; USD 130.000 - 180.000; Jornada completa

Descripción de la vacante

Snorkel AI builds frontier AI data and tooling to accelerate real-world AI systems. The DaaS Finance Manager will own revenue forecasting, capacity modeling, and pricing strategy, partnering with RevOps and Delivery Ops to drive margin and growth.

This role emphasizes actionable insights, cross-functional collaboration, and scalable analytics. The role requires hands-on financial modeling, strong SQL/Excel skills, and the ability to communicate complex results clearly to leadership.

Formación

• 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, not just review of one.
• Fluency in gross margin vs contribution margin, cost-to-serve, and how pricing, discounting and incentives flow into both.
• Experience with services or labor-based delivery economics: utilization, headcount per project, contractor mix.
• Expert spreadsheet modeling (Google Sheets / Excel) and working SQL; comfortable pulling from a CRM and a data warehouse.
• Clear, concise executive communication: can write a five-line summary leadership can act on.
• Comfort with ambiguity: makes a reasoned call with incomplete data, states the assumptions, and refines as facts arrive.
• Process mindset: spots friction, proposes a simpler way, and drives it to adoption rather than working around it.
• Bachelor's degree in finance, economics, engineering or a related field.

Responsabilidades

• Maintain the DaaS revenue model: bookings, acceptance-based revenue and ARR by deal, with scenario cases for planning.
• Partner with RevOps on the weekly revenue and ARR forecast, and run the weekly forecast deck and summary for leadership.
• Reconcile the field's call (commit, forecast, best case) 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 analysis (forecast vs actual, bookings to revenue) for quarterly and annual planning.
• Build the DaaS inputs to the annual operating plan and long-range plan: revenue, cost of delivery, margin and delivery headcount, with monthly actuals-vs-plan variance analysis.
• Partner with Accounting on revenue recognition inputs, COGS and margin actuals.
• Run and maintain the delivery capacity model in partnership 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 a regular capacity planning review with Delivery leadership.
• Turn the data into decisions: surface trends in pricing, mix, margin and pacing that leadership has not asked about yet, with a clear recommendation.
• Deal economics: partner with Deal Desk, which owns pricing, as deals need finance input; review deal models and pricing templates for accuracy and margin, and recommend adjustments.
• Customer and product profitability: cost to deliver by customer, project and product, tied to revenue.
• Product economics: what it takes for each product to hit margin targets, and where to invest next.
• Find broken or slow processes and recommend and drive fixes that shorten cycle time and improve data quality.
• Automate what repeats: move recurring models from manual spreadsheets toward scalable, auditable tools.
• Support board and investor content for the DaaS business.

Conocimientos

Forecasting

SQL

Excel/Google Sheets

Financial modeling

Executive communication

Educación

Bachelor's degree in finance/economics/engineering

Herramientas

Python scripting

Looker/Tableau

Descripción del empleo

Snorkel AI builds frontier AI data and tooling to accelerate real-world AI systems. The DaaS Finance Manager will own revenue forecasting, capacity modeling, and pricing strategy, partnering with RevOps and Delivery Ops to drive margin and growth.

This role emphasizes actionable insights, cross-functional collaboration, and scalable analytics. The role requires hands-on financial modeling, strong SQL/Excel skills, and the ability to communicate complex results clearly to leadership.