GTM Salesforce Data Quality Lead

Role Overview

• Own the strategy and operations for all GTM data in Salesforce, including contacts, accounts, opportunities, and product data
• Develop and execute the enrichment strategy, determining what data to enrich, when, and through which vendors
• Manage relationships with data enrichment and acquisition vendors (ZoomInfo, Clearbit, etc.), including contract negotiations, optimization, and budget management
• Provide front-line data support to end users (SDRs, AEs, CSMs), troubleshooting data issues and ensuring teams understand how to effectively use data
• Establish and maintain data quality standards including integrity checks, accuracy validation, and deduplication strategy
• Own data movement architecture—managing how data flows into Salesforce, out to other GTM systems, and into the data warehouse
• Implement observability and monitoring frameworks to track data health, quality metrics, and system performance
• Define and execute net new data acquisition strategy, including sourcing decisions, timing, budget allocation, and vendor selection
• Understand data usage patterns across teams, establish purging policies, and monitor signals that indicate data lifecycle needs
• Use SQL/SOQL to analyze data quality issues, validate transformations, and coordinate cross-functionally with Data Engineering and GTM Systems teams

Requirements

• 4+ years of experience in data operations, CRM data management, or GTM systems with deep focus on data quality and enrichment
• Strong technical proficiency with Salesforce data architecture including objects, fields, relationships, and data flows
• Hands-on experience managing data enrichment platforms (ZoomInfo, Clearbit, Apollo, etc.) and vendor relationships
• Proficiency with SQL/SOQL for data analysis, validation, and troubleshooting
• Proven experience supporting end users (sales, marketing teams) with data-related questions and issues
• Deep understanding of data quality frameworks including deduplication strategies, validation rules, and data governance
• Experience managing data movement between Salesforce and external systems including data warehouses (Snowflake, etc.)
• Strong analytical skills to monitor data health, identify quality issues, and implement observability frameworks
• Experience with data acquisition strategy including budget management and vendor selection
• Excellent cross-functional collaboration skills to work with Data Engineering, Operations, and GTM teams
• Understanding of B2B SaaS sales processes and how data supports revenue workflows
• Knowledge of data privacy regulations (GDPR, CCPA) and compliance requirements
• Bachelor's degree in Information Systems, Data Science, Computer Science, or related field, or equivalent practical experience
• Open to using AI to amplify their skills and strengthen their work
• demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact

Tech Stack

• Apollo
• SQL

Benefits

• Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
• 16 weeks fully-paid Parental Leave for all new parents
• Health & wellness stipend
• Remote workspace, internet, and cellphone stipend
• Commuter benefits for team members who report to the SF and NYC office
• Family planning benefits
• Matching 401(k) contribution with immediate vesting
• Flexible PTO policy, plus 80 hours of Sick Time
• 11 company-paid holidays
• Virtual team building activities, lunch and learns, and other company-wide events!