Revenue Operations Analyst
At a glance
Mid-level Revenue & Sales Operations role at Deepgram. Remote, United States · full-time · no salary stated · we estimate $86,475–$148,625 across the United States.
Deepgram has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Keep quote-to-cash work moving across CPQ, order forms, contracts, subscriptions, entitlements and related system updates
- Coordinate with Finance and GTM Engineering to reconcile usage and billing data across CRM, product, billing and finance systems
- Build and maintain Salesforce reports, dashboards, flows and automations, while improving the underlying data
- Investigate system and process failures, trace their causes, and automate repetitive work with AI-enabled solutions
- Support forecasting, routing, territory, quota and commission processes through their systems and reporting
What you bring
- At least three years in revenue operations, GTM systems, sales operations, business systems or a related area
- Hands-on Salesforce capability across reporting, flows, automation and data management
- Experience using CRM alongside CPQ, billing, contracts or other GTM platforms
- You have improved workflows and can solve operational problems carefully using data and analysis
Who this fits
This suits a hands-on mid-level operator who works across GTM, Finance and technical teams and wants to improve systems as well as run them. The role is remote in the United States. Expect work practices and responsibilities to shift quickly, with active experimentation and everyday use of AI tools.
From the employer
Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
The Opportunity
Deepgram is hiring a Revenue Operations Analyst to help build and operate the systems, data, and workflows that power our GTM organization.
This is a hands-on role for someone who likes getting into the details: fixing broken workflows, improving data quality, supporting quote-to-cash and usage-based billing processes, and finding ways to automate repetitive work. You’ll work closely with GTM Engineering, Finance, Sales, Customer Success, and Renewals to make our commercial systems more reliable, scalable, and efficient.
What You’ll Do
Support and improve quote-to-cash workflows, including CPQ, order forms, contract changes, subscriptions, entitlements, and downstream system updates.
Partner with Finance and GTM Engineering on usage, billing, and monetization workflows, including reconciliation across CRM, product, billing, and finance systems.
Serve as a hands-on Salesforce and GTM systems operator, building reports, dashboards, flows, automations, and system enhancements.
Maintain strong data quality and governance across accounts, opportunities, contracts, usage, renewals, and customer records.
Troubleshoot and resolve GTM systems and process issues, identifying root causes rather than relying on manual workarounds.
Identify repetitive or high-friction workflows and help build automation and AI-enabled solutions to reduce manual effort.
Support the systems and reporting used to operationalize forecasting, routing, territory, quota, and commission decisions.
Partner with the Director, GTM Engineering on system requirements, testing, implementation, documentation, and ongoing optimization.
Help create scalable operating processes as Deepgram grows, while staying close to the day-to-day work that surfaces where systems need to improve.
It’s Important to Us That You Have
3–4+ years of experience in Revenue Operations, GTM Systems, Sales Operations, Business Systems, or a related role.
Strong hands-on Salesforce experience, including reporting, flows, automation, and data management.
Experience working across CRM, CPQ, billing, contract, or other GTM systems.
Strong analytical and problem-solving skills with high attention to detail.
A track record of improving workflows, not just executing existing processes.
Comfort using AI and automation tools to reduce manual work and improve operations.
Ability to work cross-functionally across GTM, Finance, and technical teams.
It Would Be Great If You Had
Experience in a usage-based or consumption-based business.
Experience with CPQ and contract-generation tools.
Familiarity with billing or metering systems.
SQL or experience working with GTM/customer data.
Experience with tools such as Claude, Cursor, n8n, Workato, Retool, or similar automation environments.
Experience in a high-growth SaaS or AI company.
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