Opportunity: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.
What You'll DoARR & Revenue
- 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
Business Partnering
- 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
You'll Love This Role If You- 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
It's Important To Us That You Have- 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
It Would Be Great if You Had- 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
Benefits & Perks*Holistic health- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
Work/life blend- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
Continuous learning- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region - in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
