RevOps Lead: AI-Powered Revenue & Analytics

Improvado; Argentina; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Remote-first environment

20 days PTO per year

US holidays

Professional development reimbursement

Job summary

Improvado, a leading AI-powered marketing data platform, is seeking a Senior RevOps professional to own revenue measurement, Salesforce configurations, and data integrity across the contract-to-cash lifecycle. You will collaborate with the analytics team, leverage AI agents for automation, and drive quarterly revenue analytics and forecasting.

You will be responsible for ARR and bookings, data quality, and cross-functional alignment with Sales, CS, Marketing, Finance and Product.

Qualifications

• 4–6+ years in RevOps, Sales Ops or GTM systems in B2B SaaS.
• Hands-on admin of a live Salesforce org.
• Strong SQL and data warehouse modeling skills.
• Experience with AI agents for automation is a plus.

Responsibilities

• Own Salesforce configuration, release process, and user access; manage integrations (Gong, Clay, Lemlist, enrichment, e-signature, lead routing).
• Maintain CRM data quality with guardrails to block mistakes and manage licences/ renewals.
• Own ARR and bookings logic across contract to cash; ensure consistency of agreements, opportunities and invoices.
• Run revenue analytics—quarterly packs, CRO reports, forecasts and pipeline coverage; track funnel and attribution with Marketing.

Skills

SQL

Sales Ops

GTM systems

AI tooling experience

Data analysis

CRM administration

Tools

Salesforce

ClickHouse

dbt

HubSpot

Gong

Clay

Lemlist

Job description

Improvado, a leading AI-powered marketing data platform, is seeking a Senior RevOps professional to own revenue measurement, Salesforce configurations, and data integrity across the contract-to-cash lifecycle. You will collaborate with the analytics team, leverage AI agents for automation, and drive quarterly revenue analytics and forecasting.

You will be responsible for ARR and bookings, data quality, and cross-functional alignment with Sales, CS, Marketing, Finance and Product.