About Trademo
Trademo is an AI-native platform for global trade management and intelligence. It helps enterprises stay compliant with global trade regulations, optimize tariffs, uncover new business opportunities, and discover qualified suppliers.
Its proprietary global trade data foundation spans tariffs, customs, import-export controls, corporate ownership, sanctions, PEPs, AIS connectivity, and 3.5 billion shipment records, powering TrademoKG, the company’s proprietary knowledge graph. Purpose-built AI agents automate critical workflows across trade compliance, classification, prospecting, and supplier discovery.
Trademo was founded in 2020 by Shalabh Singhal, a third-time entrepreneur and alumnus of IIT BHU, the CFA Institute, and Stanford GSB Seed. The company has raised $12.5 million in seed funding from Amit Singhal, former SVP at Google; Sridhar Ramaswamy, CEO of Snowflake; Neeraj Arora, former Chief Business Officer at WhatsApp; and Saama Capital.
Role Overview
We are looking for a detail-oriented and analytical RevOps Executive to support our Revenue Operations function by managing data operations, Salesforce processes, workflow automation, and sales pipeline tracking. The role involves maintaining accurate CRM data, streamlining lead management and data enrichment workflows, monitoring pipeline performance, and developing reports and dashboards to support business operations. The ideal candidate should have a strong understanding of sales processes, data management, and CRM systems, with the ability to collaborate across Business Development, Sales, Marketing, and Customer Success teams.
Key Responsibilities
1. Market Research & Data Operations
- Research target accounts, contacts, and buying signals based on defined Ideal Customer Profiles (ICPs) and buyer personas.
- Build, consolidate, and maintain standardized data repositories for ABM, outbound, and other campaigns.
- Establish data enrichment and contact identification workflows across Business Development, Sales, Marketing, and Customer Success teams.
- Manage data mining operations across tools and platforms, optimizing workflows and credit usage.
- Ensure data deduplication, accurate account and contact ownership, and resolution of BDR assignment conflicts.
2. Salesforce Data Management & Automation
- Maintain accurate and standardized Salesforce records across accounts, contacts, leads, and opportunities.
- Manage lead imports, routing, and assignment across ABM, outbound, marketing-sourced, and third-party campaigns.
- Build and maintain Salesforce Flows, validation rules, and declarative automation.
- Integrate Salesforce with Slack, GPT tools, data mining platforms, and sales automation tools.
- Manage Salesforce data models, object relationships, profiles, permission sets, roles, and sharing rules.
3. Pipeline Analytics & Reporting
- Track pipeline performance, lead progression, and conversion metrics, including Prospect-to-Lead, MQL-to-SQL, and Lead-to-Opportunity conversions.
- Create, update, and maintain reports and dashboards to monitor sales performance, pipeline effectiveness, campaign engagement, and data hygiene.
- Provide actionable insights to stakeholders to support business operations and decision-making.
Ideal Candidate
- 1–3 years of experience in Sales Operations, Revenue Operations, Marketing Operations, Data Analysis, MIS, Business Operations, or a similar role.
- Good understanding of sales pipeline tracking, sales funnel metrics, lead progression, MQL-to-SQL conversion, and sales forecasting.
- Hands-on experience with MS Excel/Google Sheets, data cleaning, standardization, raw data management, and report/dashboard creation.
- Understanding of CRM systems, preferably Salesforce, including lead management, data enrichment, and workflow automation.
- Strong analytical and problem-solving skills with an eye for detail and data accuracy.
- Ability to understand stakeholder requirements, manage operational workflows, and collaborate effectively across teams.
- Proactive approach towards improving data quality, streamlining processes, and generating actionable business insights.
Read by ReLoop.me
An operational RevOps role keeping CRM data, Salesforce automation and pipeline reporting clean for several go-to-market teams.
Shape of the role: strongly individual contributor; leans execution.
Core capabilities: Salesforce administration and automation, CRM data quality and deduplication and pipeline funnel and conversion analysis.
Indicative, AI-generated read, no salary range. Full read and sourcing · ReLoop.me
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