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GTM Salesforce Data Quality & Enrichment Lead

Vanta

GTM Salesforce Data Quality & Enrichment Lead

Vanta

Remote U.S.

·

Remote

·

Full-time

·

1w ago

Benefits & Perks

Healthcare

401(k)

Equity

Parental Leave

Flexible Hours

Remote Work

Home Office Stipend

Commuter Benefits

Healthcare

401k

Equity

Parental Leave

Flexible Hours

Remote Work

Home Office

Commuter

Required Skills

Salesforce

SQL

SOQL

Data quality

Data enrichment

CRM management

At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.

As the GTM Salesforce Data Quality & Enrichment Lead at Vanta, you will own the strategy, governance, and operations of all data across our Salesforce platform and GTM systems, ensuring our revenue teams have access to accurate, enriched, and actionable data that drives business outcomes.

The GTM Systems and Analytics team owns the tooling and systems stack for our go-to-market organization. Reporting to Kaushik Patel, Head of GTM Systems & Analytics, you'll partner with Sales, Customer Success, Marketing, Revenue Operations, and Data Engineering teams to establish data as a strategic asset for our GTM motion.

You'll be the technical owner of all GTM data—from acquisition through enrichment to lifecycle management—ensuring our CRM remains the single source of truth while supporting seamless data movement across our entire tech stack.

What you’ll do as a GTM Salesforce Data Quality & Enrichment Lead at Vanta:

  • 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 (Zoom Info, 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

How to be successful in this role:

  • 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 (Zoom Info, 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

What you can expect as a Vanta’n:

  • Industry-competitive salary and equity

  • 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!

  • Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney

To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.

At Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.

About Vanta

We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged.

Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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About Vanta

Vanta

Vanta

Series B

Vanta is a security compliance automation platform that helps companies achieve and maintain compliance with security frameworks like SOC 2, ISO 27001, and HIPAA.

201-500

Employees

the South Phoenix area

Headquarters

$2.45B

Valuation

Reviews

3.8

16 reviews

Work Life Balance

3.2

Compensation

4.1

Culture

4.0

Career

3.5

Management

3.7

65%

Recommend to a Friend

Pros

Competitive compensation and equity packages

Remote work flexibility and location independence

Strong company culture and communication

Cons

Concerns about work-life balance from some reviews

Uncertainty around startup equity value

Limited information on long-term career growth

Salary Ranges

0 data points

Mid/L4

Mid/L4 · Business Analyst

0 reports

$104,475

total / year

Base

-

Stock

-

Bonus

-

$88,803

$120,147

Interview Experience

11 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

73%

Experience

Positive 45%

Neutral 46%

Negative 9%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience