Snorkel AI - Corporate FP&A Manager

• Lead annual department budgets and rolling forecasts for headcount and non-headcount expenses, aligning spending with company growth and profitability targets. • Own the headcount and personnel cost model with People and Recruiting, reflecting hiring plans, attrition, compensation and benefits. • Partner with department leaders on hiring and investment decisions, identifying cost savings and evaluating tradeoffs in growth, capacity and profitability. • Partner with Accounting on month-end close, including expense accruals, and lead headcount and OpEx variance analysis against budget and forecast. • Own SaaS and vendor spend tracking, the purchase order system and procurement approvals, working with Legal, IT and Accounting on purchases and renewals. • Own and manage Ramp, including spend programs, company cards, approval workflows and expense policies, in partnership with Accounting. • Implement and administer planning tools such as Pigment or Anaplan and improve data integrations, reporting and planning processes. • Partner with the Senior FP&A Manager to prepare consolidated financial reporting, with clear commentary on spending trends and outlook for executive reviews and board materials. • 5+ years of FP&A or business finance experience, including direct ownership of headcount and operating expense planning in a growing technology company. • Advanced Excel and Google Sheets skills and experience building models that connect hiring, vendor commitments and operating drivers to financial forecasts. • Hands-on experience managing Ramp, including spend approvals, expense controls and reporting. • Experience implementing and administering planning systems such as Pigment, Anaplan or similar platforms, including financial model design and data integrations. • Strong understanding of expense accruals, cost allocation and financial statements, with a record of partnering effectively with Accounting. • Ability to build relationships with department leaders, explain financial tradeoffs clearly and turn analysis into recommendations. • Strong attention to detail and the ability to establish practical processes, improve data quality and follow through across multiple workstreams. • Experience with SaaS or AI businesses, IT, cloud or inference costs, and contractor or services delivery economics is a plus.