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San Francisco, California, United States· Full-time· Remote
$176.4K – $226.8K/yr
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Role overview
Job description
About the Job: AI-powered workflows are only as good as the customer data underneath them. LaunchDarkly helps engineering teams ship software faster and more safely through feature management, experimentation, and AI delivery tooling. As our GTM Data Governance Manager (MDM), you will set the rules that make our core customer data (accounts, contacts, subscriptions, and users) accurate, consistent, and trusted across Salesforce, our billing and finance systems, marketing automation, product usage data, and the data warehouse. This is an individual contributor role with real ownership of the data model and its standards. You will partner with Data Engineering, GTM Systems, Finance Systems, Legal, and Security to put those standards into production. Your work is the foundation for reliable reporting, accurate territory and segmentation, clean pipeline attribution, and the AI workflows tha
…About this listing
- Listed from LaunchDarkly's careers site via Greenhouse · last confirmed on the source 23 Oct 2026
- Posted 21 Oct 2026
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What they are looking for
Skills & requirements
Qualification
8+ years of experience in data management, data governance, data engineering, or analytics, including 2+ years leading MDM or data quality programs. Hands-on experience designing match, merge, and survivorship rules and golden record or hierarchy models, with results you can describe. Experience with Salesforce data models and CRM data quality at scale. Experience building and operating a data governance framework: policies, stewardship models, and SLAs. Ability to translate business needs into data requirements and explain technical tradeoffs to non-technical stakeholders. A track record of delivering cross-functional programs without direct authority. Nice to Have Experience at a B2B SaaS company with a product-led or hybrid sales motion, including mapping product users and workspaces to CRM accounts. Familiarity with enrichment and firmographic data, entity matching approaches, and ML-assisted or LLM-assisted matching and cleansing. Working knowledge of data privacy regulations (GDPR, CCPA) and security frameworks such as SOC 2. Pay: Target pay ranges based on Geographic Zones* for Level 4: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $152,900 - $21
Department · Revenue Operations
Hiring company
LaunchDarkly
Technology
LaunchDarkly is a Feature Management Platform that serves over 20 Trillion feature flags daily to help software teams build better software, faster. Feature flagging is an industry standard methodology of wrapping a new or risky section of code or infrastructure change with a flag. Each flag can easily be turned off independent of code deployment (aka ”dark launching”). LaunchDarkly has SDKs for all major web and mobile platforms. At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
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