Assistant Manager Revenue Operations

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Key Responsibilities  1. GTM Database Expansion  Own the strategy and execution for expanding Netradyne's GTM account and contact database.  Identify and source new target accounts based on ICP, industry, company size, geography, fleet size, technology adoption, and other business criteria.  Build and maintain comprehensive account and contact coverage across Netradyne's target markets.  Identify whitespace within the existing database and develop programs to systematically close coverage gaps.  Source decision-makers, influencers, and relevant buying committee contacts within target accounts.  Develop scalable processes for continuously adding new accounts and contacts to Salesforce.  Partner with Sales and GTM leadership to understand market coverage requirements and translate them into database expansion initiatives.  Monitor database growth and establish measurable targets for account and contact coverage.  2. Data Enrichment & Intelligence  Own the enrichment strategy across Accounts, Contacts, Leads, and other relevant GTM data.  Leverage Clay, ZoomInfo, PrimeRole, LinkedIn Sales Navigator, and other data providers to source and enrich GTM data.  Build multi-source enrichment strategies to maximize data coverage and accuracy.  Evaluate the strengths and limitations of different data providers and determine the appropriate source for specific data requirements.  Develop workflows to enrich firmographic, demographic, organizational, contact, technology, and other relevant data points.  Establish validation frameworks to ensure sourced data meets defined quality standards.  Continuously identify new data sources and technologies that can improve coverage and reduce data gaps.  Modern GTM data platforms increasingly support multi-provider enrichment and AI-driven research, making the ability to orchestrate multiple sources an important part of this role.  3. Salesforce Data Management  Own the overall health and quality of GTM data within Salesforce.  Establish and enforce standards for data completeness, accuracy, consistency, and freshness.  Manage data quality initiatives across Accounts, Contacts, Leads, and Opportunities.  Drive deduplication, normalization, account hierarchy, ownership, and data remediation initiatives.  Identify data debt and establish structured programs to address it.  Build Salesforce reports and dashboards to monitor database health, coverage, and quality.  Partner with Salesforce and RevOps stakeholders to improve CRM processes and data governance.  Ensure that database expansion initiatives are integrated into Salesforce through scalable and controlled processes.  4. GTM Data Technology & AI  Own the effective utilization of GTM data and intelligence platforms including Clay, ZoomInfo, PrimeRole, Salesforce, and other emerging technologies.  Design and optimize data sourcing and enrichment workflows.  Leverage AI and agentic workflows for account research, contact discovery, enrichment, validation, and data classification.  Identify manual processes that can be automated and drive automation initiatives.  Evaluate new GTM technology and data providers based on coverage, accuracy, scalability, usability, and business impact.  Continuously optimize the GTM data stack to improve the quality and breadth of available data.  5. People Management & Team Leadership  Lead, mentor, and manage a team of GTM Operations / Data Operations professionals.  Set team goals, priorities, productivity targets, SLAs, and quality standards.  Allocate work across account sourcing, contact sourcing, enrichment, validation, and data quality activities.  Monitor team performance through defined productivity and quality metrics.  Conduct regular 1:1s, performance reviews, coaching, and development conversations.  Identify capability gaps and create training and upskilling plans.  Build a culture of ownership, accuracy, accountability, and continuous improvement.  Review team output regularly and implement corrective actions where required.  Support hiring, onboarding, and development of GTM Operations talent.  6. Data Quality & Governance  Establish a structured GTM Data Quality framework covering completeness, accuracy, freshness, duplication, and coverage.  Define and monitor data quality KPIs