FP&A Manager

Deepgram•Remote, CA

About The Position

At Deepgram, we are building a foundational AI infrastructure for speech and voice intelligence. As we scale our enterprise and self-serve revenue motions, we are looking for a strategic and analytical business partner oriented FP&A Manager to support our Go-To-Market organization. This is not a traditional FP&A role. We expect this person to operate with a multiplied toolkit, using AI agents, automation and modern FP&A platforms to do the work. The analytical heavy lifting (data pulls, model refreshes, variance commentary and dashboard maintenance) should largely run itself. Your role is to build and manage these workflows and own the judgement layer of translating insights into decisions, building trust with senior leaders across the company and driving GTM strategy with clarity and speed. The FP&A Manager, reporting to the Head of FP&A, will lead ARR and revenue forecasting, drive performance visibility across Sales, Marketing and Customer Success, and partner closely with the Chief Revenue Officer and Chief Marketing Officer to improve predictability, efficiency and capital allocation. This is a highly visible role requiring strong AI & modeling skills, business judgement and the ability to influence senior stakeholders.

Requirements

Direct experience implementing AI tooling and scalable FP&A systems to automate workflows and forecasting
Advanced financial modeling skills and the judgement to know when to build versus when to automate
Direct experience supporting sales and marketing
Fluency in SaaS and usage based metrics (ARR, NRR, CAC, LTV, payback)
Executive communication skills with the ability to present insights clearly and confidently
Enjoy using AI tooling in your day to day (Claude, Cursor, or equivalent) to accelerate analysis and work flows
Prefer high ownership and autonomy over rigid process
Get excited about scaling a revenue engine toward IPO readiness

Nice To Haves

5-7 years of experience in FP&A, strategic finance or investment banking
Experience in Series C+ high growth environments
Experience with usage based revenue forecasting and consumption modeling

Responsibilities

Lead monthly and quarterly ARR and revenue forecasts across Enterprise and Self-Service motions.
Build and maintain driver based ARR and revenue models (pipeline, conversion, ramp, pricing, usage and expansion).
Partner closely with RevOps and Data teams to establish automated CRM data pipelines that feed your models continuously.
Translate leading indicators (pipeline coverage, win rates, sales cycles, usage trends) into forward looking insights.
Provide scenario modeling for pricing changes, sales capacity investments and expansion strategies.
Monitor retention, expansion and cohort trends.
Support quota setting, commission calculations, territory design and capacity planning.
Evaluate marketing funnel performance, CAC, payback and ROI by channel.
Provide clear, data driven insights to influence GTM investment decisions.
Drive monthly business reviews and performance reporting.