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.

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.

How To Apply:

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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.

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.

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.