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 across the GTM database.
- Conduct recurring database audits and proactively identify data quality issues.
- Establish processes to prevent data quality issues rather than relying only on reactive cleanup.
- Partner with Sales and Marketing to establish data requirements and governance standards.
- Track data quality trends and provide recommendations to GTM leadership.
7. Reporting & Analytics
- Build and maintain dashboards to monitor:
- Account database growth
- Contact database growth
- Account coverage
- Contact coverage
- Data completeness
- Data accuracy
- Enrichment coverage
- New account sourcing
- Data provider performance
- Team productivity
- Data quality trends
- Provide regular reporting and insights to GTM and Revenue Operations leadership.
- Use data to identify coverage gaps, operational bottlenecks, and opportunities for improvement.
- Translate operational data into clear business recommendations.
8. Cross-Functional Partnership
- Partner closely with Sales, Marketing, Revenue Operations, Enablement, and other GTM stakeholders.
- Understand business requirements and translate them into scalable data solutions.
- Support Sales leadership with account and contact coverage initiatives.
- Work with Marketing on campaign audiences, target account lists, and contact coverage.
- Act as the primary point of contact for GTM data-related initiatives.
- Drive adoption of data standards and best practices across GTM teams.
Mandatory Skills & Experience
- 8–12 years of total professional experience in GTM Operations, Revenue Operations, Sales Operations, Data Operations, Business Operations, or a related data-focused function.
- 1–2 years of people management / team leadership experience.
- Strong hands-on experience with Salesforce, particularly CRM data management, reporting, list views, data quality, and database management.