Overview
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The Role : We are seeking a thorough and proactive CRM Data Quality & Management Specialist to ensure the accuracy, completeness, and reliability of our CRM data. This role is responsible for making the data not only clean and actionable, but also AI-ready. This role plays a critical part in supporting data-driven decisions across the GTM organization by implementing quality control measures, managing enrichment tools, and preparing our CRM data for advanced AI and machine learning use cases. You will work closely with cross-functional teams to ensure our Salesforce data is structured, trusted, and optimized for automation, personalization, and predictive intelligence.
To be eligible for this role, you must be based in the Bay Area (San Mateo office), Austin, TX or New York City and will be expected to go into the office on Mondays, Tuesdays & Thursdays.
You Will
Data Quality Strategy & Governance
- Create and implement a data quality strategy that outlines data flow, designates system of record for key data elements, and ensures consistency across integrated platforms
- Establish and monitor data quality metrics, with a focus on attributes critical for AI applications (e.g., industry classification, intent signals, technographics)
- Partner with data governance and analytics teams to align on standards that promote responsible AI usage
- Design and manage an archival process for stale or low-value data, helping to reduce noise in AI training and segmentation
Data Enrichment & Tools Management
Leverage data enrichment tools including HG Insights, D&B, Clearbit, ZoomInfo, Lusha, Lead IQ to maximize data qualityRegularly audit and optimize enrichment tools to improve both accuracy and downstream AI performanceEvaluate and implement new enrichment tools and AI powered platforms to improve data readiness for predictive modeling and other AI / machine learning initiativesDefine and document where key data elements live across systems like Salesforce, Snowflake, and Clari, ensuring clarity on system of record and downstream data flowsWork closely with teams who manage upstream data sources to align on data quality standards and ensure consistency across systems, while respecting ownership boundaries and platform responsibilitiesData Integrity & Maintenance
Maintain and update Salesforce data to ensure accuracy, especially around fields that are feeding into AI modelsEnsure CRM records are consistently populated with key data needed for targeting, scoring, and segmentationBuild and manage account hierarchies that help AI tools identify relationships and optimize territory assignmentsImplement and refine a record quality scoring system to prioritize remediation efforts for AI-sensitive dataAddress and resolve data quality issues efficiently, collaborating with key stakeholders as neededLeverage data blending solutions to unify and enhance CRM data for better downstream useContinuously evaluate how process improvements and automations can affect AI performance and model outcomesYou Have
Bachelor's degree in Information Systems, Computer Science, Business, or a related field5+ years of experience in data quality management, CRM data stewardship, or a similar roleProven experience with Salesforce CRM and data enrichment toolsDeep understanding of CRM data structures and data lifecycle managementStrong analytical skills with attention to accuracy and scalabilityFamiliarity with data privacy regulations and AI-related compliance (e.g., GDPR, CCPA, data minimization)Proficiency in SQL or similar data querying tools; familiarity with data visualization / reporting platformsComfortable communicating technical data quality concepts to business stakeholdersCockroach Labs is proud to be an Equal Opportunity Employer building a diverse and inclusive workforce. If you need additional accommodations to feel comfortable during your interview process, please email us at accessibility@cockroachlabs.com.
We set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. Actual salaries may vary and fall outside of this range depending on factors such as a candidate's qualifications, geographic location, skills, experience, and competencies. Salaries for candidates outside the U.S. will vary based on local compensation structures.
This position will remain posted until filled. Applicants should apply via our Careers Page.
Benefits
Stock OptionsMedical InsuranceVision InsuranceDental InsuranceLife and Disability InsuranceProfessional Development FundsFlexible Time OffPaid HolidaysPaid Sick DaysPaid Parental LeaveRetirement BenefitsMental Wellbeing BenefitsAnd more!J-18808-Ljbffr