--- title: 'GTM Data Governance Manager (MDM) at LaunchDarkly' canonical: 'https://feeny.ai/job/gtm-data-governance-manager-mdm-launchdarkly-united-states-txjjzrs5bs83' type: 'job' last_seen: '2026-11-06' --- # GTM Data Governance Manager (MDM) at LaunchDarkly - **Company:** LaunchDarkly - **Location:** United States - **Work type:** remote - **Posted:** 2026-10-21 - **Last confirmed live:** 2026-11-06 - **Apply:** https://job-boards.greenhouse.io/launchdarkly/jobs/8040653003 ## 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 that depend on high-quality data. Responsibilities: - Own the MDM roadmap and operating model for the account, contact, and organization hierarchy domains. - Define golden record rules: matching, merging, survivorship, and parent/child hierarchies across CRM, billing, product, and support systems. - Set data governance standards, including ownership, stewardship roles, definitions, and quality SLAs, in partnership with Sales, Marketing, Finance, and Customer Success. Run the processes for onboarding new data sources, handling change requests, and managing lifecycle events such as mergers, acquisitions, and customer reorganizations. - Design and monitor data quality rules, scorecards, and dashboards covering completeness, accuracy, duplication, and timeliness. Drive remediation and report data health, risks, and progress to leadership with clear metrics and business impact. - Specify integration patterns and acceptance criteria across Salesforce, the data warehouse, and enrichment providers, and work with Data Engineering and GTM Systems to build them. Recommend build vs. buy for MDM, identity resolution, enrichment, and data quality tooling. - Provide trusted, well-documented data products for analytics and AI use cases. Act as the data owner with Legal and Security on PII handling, GDPR and CCPA requirements, retention, and access controls. - Who You'll Work With: Data Engineering and GTM Systems build pipelines and Salesforce configuration. Legal and Security own privacy and security decisions, and you inform them as the data owner. You own the rules, standards, and acceptance criteria that tell everyone else what "correct" looks like. Qualifications: - 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 - $210,210** - Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $137,600 - $189,200** - Zone 3: All other US locations - $129,900 - $178,640** LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: - Improving the velocity and stability of software releases, without the fear of end customer outages - Delivering targeted experiences by easily personalizing features to customer cohorts - Maximizing the business impact of every feature through the ability to experiment and optimize - Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types - Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability 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. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com. Do you need a disability accommodation? Fill out this [accommodations request form](https://docs.google.com/forms/d/e/1FAIpQLSdYb_7upYMtdRVXzvXGHGfQw0pU2FNma-6Rwp-I6NjKm7SYNw/viewform) and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from [@LaunchDarkly](https://launchdarkly.slack.com/team/UKEE4GBS6).com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit [Careers | LaunchDarkly](https://launchdarkly.com/careers/)  directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com. ## About LaunchDarkly ## Company Overview - **One-liner**: LaunchDarkly provides a runtime control layer for AI-era software development, enabling teams to release features safely, experiment in production, and govern AI agents. - **Entity Type**: Private (venture-backed, Series D+) with investors including Redpoint, Threshold Ventures, and Benchmark. - **Headquarters**: Oakland, California, USA (with additional offices in London, UK; Bangalore and Mumbai, India) - **Founded**: 2014 - **Founders**: Edith Harbaugh (CEO/Executive Chair) and John Kodumal (CTO) ## Core Business - **Primary industry**: Feature management / software tooling / developer infrastructure - **Target customers**: B2B, serving both large enterprises (25% of Fortune 500) and small startups; teams in engineering, product, marketing, and business operations. - **Mission or purpose**: “Making software releases boring since 2014” and “creating a world in which every AI-powered release is safe and unceremonious.” ## Products & Services - **Feature Flags (CodeControl)**: Wrap new or risky code in flags to enable progressive rollouts, automated rollbacks, and instant remediation — without redeploying. - **Experimentation (A/B/n testing, multi-armed bandits)**: Run online experiments on code and agents to optimize performance based on real-world results. - **Observability (Guardian Monitoring, Error Monitoring, Logs & Traces, Session Replay)**: Monitor feature behavior and auto-remediate issues. - **AgentControl**: Govern, observe, and steer AI agents in production — including adaptive triggers, progressive rollouts, agent observability, custom judges, and LLM playground. - **AI Insights & Prompt Management**: Test prompts/models in production, dynamically route traffic to best options, and manage prompt snippets. ## Market Standing - **Valuation/Market Cap**: Not publicly available (last reported Series D in 2021 was at a ~$3 billion valuation per industry sources; not confirmed in provided materials) - **Key Metric**: Total Funding – not disclosed in provided sources. Annual Revenue – not publicly available. Proxy: 5,500+ customers, 45 trillion feature flags evaluated daily. - **Notable Investors/Partners**: Board members include Scott Raney (Redpoint), Josh Stein (Threshold Ventures), and Jonathan Heiliger (Benchmark); listed on Forbes Cloud 100 for six consecutive years. - **Growth Signals**: >570 employees and growing; 25% of Fortune 500 are customers; expansion into AI agent control (AgentControl product); remote-first hiring globally. ## Competitive Advantages - **#1 in Feature Management** for three years running (as claimed on website). - **Massive scale**: 45 trillion feature flags evaluated daily, providing unmatched performance and reliability. - **Integrated platform** combining feature flags, experimentation, observability, and AI agent governance in one runtime control layer — reducing tool sprawl. - **Strong brand trust** among 5,500+ customers, including many Fortune 500 enterprises. ## Strategic Focus - **Lead the AI transformation**: Apply runtime control principles to AI agents and LLM-powered features (AgentControl, LLM Playground, custom judges). - **Enable self-healing systems**: Automatically detect and remediate failing code or misbehaving agents without human intervention. - **Continue expanding experimentation** and observability capabilities to help teams continuously optimize. ## Why Work Here - **Culture**: “Humble, open, collaborative, respectful and kind” – as stated on the careers page. Equal opportunity and affirmative action employer. - **Remote/hybrid policy**: Many engineering roles are fully remote (US, India, other locations). Some roles like IT are hybrid in Oakland or Bangalore/Mumbai. - **Work environment**: High-growth (570+ employees) with significant investment in engineering (multiple engineering teams: Core, Measure, Release, AI, etc.). - **Notable perks**: Pay transparency policy (disclosure of compensation upon request), commitment to diversity, and formal accommodation process. The company is a federal contractor, so it adheres to strict non-discrimination and pay disclosure rules. - **Engineering focus**: Opportunity to work on cutting-edge problems in feature management, experimentation, and AI governance at massive scale. ## Sources 1. [LaunchDarkly Website](https://launchdarkly.com/) – Main product description, company overview, stats 2. [LaunchDarkly About Us](https://launchdarkly.com/about-us/) – Founding story, leadership team, investors, office locations 3. [LaunchDarkly Careers](https://launchdarkly.com/careers/) – Culture, equal opportunity statement, pay transparency policy 4. [Greenhouse Job Board](https://job-boards.greenhouse.io/launchdarkly/jobs/7738584003) – Open positions, remote/hybrid details, team structure 5. [LinkedIn Company Page](https://www.linkedin.com/company/launchdarkly) – Company description, employee count ## Other roles at LaunchDarkly - [Senior Accounting Manager](https://feeny.ai/job/senior-accounting-manager-launchdarkly-united-states-bkpjpkmsk0ty) — United States - [Chief of Staff](https://feeny.ai/job/chief-of-staff-launchdarkly-oakland-ygs5bgv2ah45) — Oakland, CA - [Executive Assistant to VP EMEA Sales and Office Manager](https://feeny.ai/job/executive-assistant-to-vp-emea-sales-and-office-manager-launchdarkly-london-qq2ssmx7x1t4) — London, United Kingdom - [Director, Internal AI Operations](https://feeny.ai/job/director-internal-ai-operations-launchdarkly-united-states-69m7tgw3y0qk) — United States - [Senior Enterprise Account Executive - EMEA](https://feeny.ai/job/senior-enterprise-account-executive-emea-launchdarkly-london-j91vkedrzd3e) — London, United Kingdom - [Revenue Operations Manager - EMEA](https://feeny.ai/job/revenue-operations-manager-emea-launchdarkly-ireland-london-united-kingdom-w7wpr5s4fbbr) — Ireland / London, United Kingdom - [VP, Product Management](https://feeny.ai/job/vp-product-management-launchdarkly-united-states-ftdmm46vxe1h) — United States - [Regional Sales Director, Enterprise - EMEA](https://feeny.ai/job/regional-sales-director-enterprise-emea-launchdarkly-london-2wqxpzgmgwf1) — London, United Kingdom - [Corporate Regional Sales Director - EMEA](https://feeny.ai/job/corporate-regional-sales-director-emea-launchdarkly-london-zq002tcv2qqh) — London, United Kingdom - [Manager, Corporate Sales - London](https://feeny.ai/job/manager-corporate-sales-london-launchdarkly-london-bfdt4kx0y3mz) — London, United Kingdom