Sales Operations Associate

DealHub Ltd; Dadri; On-site; INR 600,000 - 1,200,000; Full time

Job summary

DealHub Ltd in India is seeking a Revenue Operations specialist to own reporting and account-coverage infrastructure for Sales and Leadership. This role sits at the intersection of Sales, Customer Success, Growth, and Operations, shaping how the revenue team executes.

You will build dashboards for pipeline health, forecasting, expansion revenue, and automate CRM data integrity in Salesforce. Collaboration with Sales, CS, Product, and Leadership is essential to scale Revenue Operations.

Qualifications

• 2-3 years in Revenue Operations, Sales Operations, Business Operations, or Analytics.
• Salesforce experience. HubSpot, BI platforms, and AI/automation tools (e.g., Claude)
• Structured thinking: you can pull the data, find the pattern, and change the process.
• Working knowledge of sales pipeline stages, forecasting, and customer lifecycle.
• Clear communication with technical and non-technical stakeholders.
• High accuracy standards. You catch the data errors others miss.
• Bachelor's degree in Engineering, Business, Operations, Analytics, Information Systems, or a related field.

Responsibilities

• Run revenue programs. Support forecasting, expansion tracking, API usage-to-revenue analysis, and product-qualified lead workflows.
• Own CRM integrity. Maintain account, opportunity, and pipeline data in Salesforce. Manage lead routing and territory assignments.
• Build the reporting layer. Create and maintain the dashboards Sales and Leadership rely on: pipeline health, conversion rates, forecasting, sales cycle duration, expansion revenue, and rep performance.
• Fix broken process. Find friction in lead management, follow-ups, handoffs, quoting, and pipeline progression, then redesign the workflow.
• Automate the manual. Automate commission calculations, revenue tracking, sets tracking and deal flows.
• Coordinate across teams. Work directly with Sales, SDRs, Customer Success, Product, and Leadership to keep revenue operations aligned as the company scales.

Skills

Revenue Operations

Salesforce

Structured thinking

Forecasting

Communication

Data accuracy

Education

Bachelor's degree in Engineering/Business/Analytics/Information Systems

Tools

HubSpot

BI platforms

AI/automation tools (Claude)

Job description

Job description:

You will own the reporting and account-coverage infrastructure that Sales and Leadership run on every day. This is a build-and-maintain role, not a ticket queue: you keep the CRM accurate, the dashboards trusted, and the pipeline visible from first touch to expansion. You sit at the intersection of Sales, Customer Success, Growth, and Operations, and your work directly shapes how the revenue team executes.

Key Responsibilities:

• Run revenue programs. Support forecasting, expansion tracking, API usage-to-revenue analysis, and product-qualified lead workflows.
• Own CRM integrity. Maintain account, opportunity, and pipeline data in Salesforce. Manage lead routing and territory assignments.
• Build the reporting layer. Create and maintain the dashboards Sales and Leadership rely on: pipeline health, conversion rates, forecasting, sales cycle duration, expansion revenue, and rep performance.
• Fix broken process. Find friction in lead management, follow-ups, handoffs, quoting, and pipeline progression, then redesign the workflow.
• Automate the manual. Automate commission calculations, revenue tracking, sets tracking and deal flows.
• Coordinate across teams. Work directly with Sales, SDRs, Customer Success, Product, and Leadership to keep revenue operations aligned as the company scales.

Skills and Qualifications:

• 2-3 years in Revenue Operations, Sales Operations, Business Operations, or Analytics.
• Salesforce experience. HubSpot, BI platforms, and AI/automation tools (e.g., Claude)
• Structured thinking: you can pull the data, find the pattern, and change the process.
• Working knowledge of sales pipeline stages, forecasting, and customer lifecycle.
• Clear communication with technical and non-technical stakeholders.
• High accuracy standards. You catch the data errors others miss.
• Bachelor's degree in Engineering, Business, Operations, Analytics, Information Systems, or a related field.