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Revenue Operations Analyst (London)

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Remote from
UK
Salary
GBP 67k–83k / yr
Employment
Full Time
Experience
Director
Published
Apply before
25 Nov 2026
Listing views
38
Application actions
1
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AI Summary

The role, at a glance.

Deepgram is seeking a Revenue Operations Analyst to operate and improve the GTM systems, data, and workflows that support its commercial organization. The role focuses on Salesforce administration, quote-to-cash operations, billing and usage reconciliation, reporting, data governance, and workflow automation. The analyst will partner closely with GTM Engineering, Finance, Sales, Customer Success, and Renewals in a fast-changing AI SaaS environment. Success requires hands-on problem solving, strong systems judgment, and the ability to replace manual workarounds with scalable automated processes. The position is remote for candidates based in London, UK, with overlap with customer business hours expected.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role spans interconnected CRM, CPQ, contract, billing, product-usage, and finance processes, so errors can affect core commercial operations. It also requires independent troubleshooting and rapid adaptation in a high-growth, AI-first environment.

Salary analysis

Estimated compensation compared with the broader UK market for similar roles.

Estimated job median (per year)Highly competitive
£75,000
UK market range (per year)£60k–£85k
AI insightThe employer discloses a yearly base-pay range of £67,000–£83,000, with a midpoint of £75,000. This is a credible range for a mid-level Revenue Operations Analyst in London with hands-on Salesforce, quote-to-cash, billing, and automation responsibilities. Estimated UK market compensation for comparable roles is approximately £60,000–£85,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you investigate a discrepancy between CRM opportunity data, product usage records, and billing invoices?

I would first define the expected business logic and identify the shared keys across the systems, such as account, subscription, contract, and billing period. I would reconcile a representative sample, trace each mismatch to its source system or integration step, quantify the impact, and implement a documented correction and monitoring control rather than relying on manual fixes.

Describe an example of a Salesforce workflow you would automate in this role.

I would assess high-volume, rules-based processes such as opportunity stage changes that require entitlement updates or renewal task creation. After mapping exceptions and approvals with stakeholders, I would use Salesforce Flow or an integrated automation tool, test it in a sandbox, document ownership, and monitor error rates after release.

What controls would you use to maintain high-quality GTM data?

I would establish clear field definitions, required-field rules at the appropriate stage, duplicate-management procedures, validation rules, controlled picklists, and ownership for critical objects. I would also create dashboards for completeness, freshness, exception volumes, and integration failures so issues are visible before they affect forecasting or billing.

How would you approach improving a quote-to-cash process that teams currently handle through spreadsheets and manual handoffs?

I would map the current process end to end, including inputs, approvals, systems, handoffs, failure points, and downstream financial effects. I would prioritize changes by risk and effort, standardize the data model and approval rules, then automate the most repeatable steps through CPQ, CRM workflows, and integrated contract or billing systems.

How do you apply AI tools responsibly to revenue operations work?

I use AI to accelerate tasks such as documentation drafts, formula development, data-quality investigation, and workflow ideation, while retaining human review for commercial rules and sensitive customer data. I validate outputs against source records, follow data-access policies, and measure whether the automation improves accuracy, cycle time, or user experience.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

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.

Note: this role is based remotely out of London, UK.

Regional Expectations

  • Based in London with strong overlap to customer business hours.

  • 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.

Notice: We’re aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you’ve received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

Apply now >

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