LaunchDarkly - Senior Marketing Data Manager
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Requirements
• Typically requires 12+ years of experience, or equivalent depth of expertise in Marketing data management or related GTM operational roles. • Deep expertise in CRM, marketing automation, CDP ecosystems, identity resolution, segmentation strategy, and attribution modeling. • Strong understanding of B2B marketing data architecture, governance, analytics, and GTM operations. • Demonstrated experience leading complex, cross-functional initiatives that impact an entire function or organization. • Advanced analytical skills with the ability to evaluate ambiguous problems, synthesize disparate data sources, and provide clear direction. • Proven ability to generate analytical insights and translate findings into strategic business recommendations that influence senior stakeholders. • Ability to act independently, define new methods and procedures, and operate effectively in high-impact, high-ambiguity environments. • Excellent executive communication and stakeholder management skills. • High level of ownership, accountability, and sound judgment consistent with scope of role. • Target pay ranges based on Geographic Zones* for Level 4: • Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $136,000 - $187,000** • Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $122,000 - $168,000** • Zone 3: All other US locations - $116,000 - $159,000** • 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. • 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
Responsibilities
• Own Marketing Data Strategy, Architecture & CDP Ecosystem: Define and lead the end-to-end marketing data framework across collection, integration, unification, governance, activation, and measurement. Architect, implement, and optimize a scalable Customer Data Platform (CDP) ecosystem — including defining use cases, selecting technology, designing ingestion pipelines (batch and real-time), establishing identity resolution logic, and integrating with CRM, marketing automation, product analytics, data warehouse, and enrichment systems. As part of this ecosystem, synthesize internal behavioral and product signals with external intent, firmographic, and technographic data at both the person and account level to create unified, activation-ready profiles. Leverage advanced identity technologies and methodologies to match and stitch anonymous behavioral data with known person and account records, enabling a true single customer view. • Own Marketing Data Strategy, Architecture & CDP Ecosystem: • Ensure Data Integrity, Governance & Compliance: Establish lifecycle definitions, taxonomy standards, validation rules, identity frameworks, and consent management processes. Proactively identify systemic data risks and drive cross-functional remediation to ensure accuracy, trust, and regulatory compliance (GDPR/CCPA). • Ensure Data Integrity, Governance & Compliance: • Build a Unified Account & Buying Group Model: Design and maintain a trusted single view of the account and buying committee, including lead-to-account matching, account hierarchies, enrichment strategy, segmentation frameworks, and ICP modeling to support ABM and lifecycle programs. • Build a Unified Account & Buying Group Model: • Lead Measurement & Attribution Strategy: Define and evolve multi-touch attribution models, funnel measurement standards, and closed-loop revenue reporting to ensure marketing impact is accurately measured and communicated to all teams, including senior leadership. • Lead Measurement & Attribution Strategy: • Generate Strategic Insights & Business Recommendations: Translate unified marketing and GTM data into actionable analytical insights. Deliver clear, data-driven business recommendations that influence targeting strategy, budget allocation, funnel optimization, and revenue growth decisions. • Generate Strategic Insights & Business Recommendations: • Drive Cross-Functional Impact & Continuous Improvement: Partner across Marketing, RevOps, Sales, Finance, and Data teams to align systems and processes, improve scalability, evaluate emerging technologies, and elevate data-driven decision making across the GTM organization. • Drive Cross-Functional Impact & Continuous Improvement:
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