Revenue Operations Analyst (Europe)

Deepgram; Greater London; Remote; GBP 70,000 - 100,000; Full time

Job summary

Deepgram is hiring a Revenue Operations Analyst to build and operate the systems, data, and workflows that power our GTM organization.

This is a hands-on role for someone who fixes broken workflows, improves data quality, supports quote-to-cash and usage-based billing, and partners with GTM Engineering, Finance, Sales, Customer Success, and Renewals to scale operations.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Salesforce experience

GTM systems

Data management

Analytical thinking

Cross-functional collaboration

Automation mindset

Problem solving

Tools

Salesforce

CPQ

Billing systems

SQL

Automation tools

Job description

Company Overview

Deepgram is bringing the world's most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

Operating Principles:

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

1. Compress before you communicate. You think it through first, then lead with the bottom line.
2. Resist entropy. You question what already exists before adding more process or tools.
3. Solve the category. You fix recurring problems at the source, not one case at a time.
4. Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

AI-First by Default

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

• Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.
• Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.
• Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.
• Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

Note: this role is based remotely out of Europe.

Regional Expectations

• Based in Europe with strong overlap to customer business hours in the region.
• Excellent written and spoken English. Additional European languages are a plus.

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.