LaunchDarkly Logo

LaunchDarkly

Senior Marketing Data Manager

Sorry, this job was removed at 06:19 p.m. (PST) on Monday, May 04, 2026
Remote
Hiring Remotely in United States
Remote
Hiring Remotely in United States

Similar Jobs

5 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
119K-180K Annually
Senior level
119K-180K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Looking for a Senior Marketing Analytics Manager to transform unstructured data into actionable insights and engaging stories that guide product strategy and decision-making.
Top Skills: Ai ToolsDatabricksMartech ToolsPythonSQLTableau
25 Days Ago
Remote
US
141K-176K Annually
Senior level
141K-176K Annually
Senior level
Biotech
Lead the strategy and execution of AI and data products, focusing on sales and marketing initiatives while partnering with business teams to define and deliver impactful solutions across operational systems.
Top Skills: AIAirflowAWSDagsterData SystemsDbtMachine LearningModern Data PlatformsSagemakerSalesforceSnowflake
25 Days Ago
In-Office or Remote
IN, USA
Senior level
Senior level
Energy • Industrial
As Senior Product Marketing Manager, you will create and manage the product narrative for AI data centers, develop marketing materials, drive product launches, and partner cross-functionally to align messaging with market needs.
Top Skills: AIData Centers
About the Job:

We’re seeking a senior Marketing Operations leader to own and scale the foundation of our marketing data strategy. This role is responsible for architecting, governing, and operationalizing the systems and data infrastructure that power segmentation, targeting, activation, attribution, and revenue measurement across Marketing and the broader GTM organization.

As the functional owner of Marketing data management, you will establish and evolve the frameworks that ensure our data is unified, trusted, compliant, and actionable. Beyond infrastructure, this role is also accountable for translating data into meaningful analytical insights and clear business recommendations that shape Marketing strategy, investment decisions, and performance optimization.

This is a highly strategic role requiring broad expertise and hands-on execution. You will work on significant and often ambiguous data challenges that impact the entire marketing function. In collaboration with Marketing, you will define standards, influence architecture decisions, and deliver insight-driven recommendations that improve marketing effectiveness and revenue outcomes.

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.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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.
Qualifications:
  • 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.

Pay:

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.

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 [email protected]

Do you need a disability accommodation?

Fill out this accommodations request form 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.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  directly for confirmed job openings and links to apply.

Please notify us of any fraudulent representation by sending an email to [email protected].

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account