Senior Marketing Technology Manager

About the Role

Key Responsibilities

• Lead the strategy, development, and execution of scalable audience segmentation in Segment, ensuring audiences are aligned to business objectives and campaign goals.
• Translate marketing use cases into data requirements, defining event tracking needs, user traits, and identity resolution strategies.
• Partner with channel owners (Paid Growth, Lifecycle, Sales) to deliver highly-targeted campaigns across the funnel.
• Own audience governance frameworks - naming conventions, documentation, testing, QA, and reusability of audiences across teams and tools.
• Act as the primary liaison between Marketing, Data Science, and Data Engineering to ensure clean data flow into and out of Segment.
• Collaborate with Data Science to incorporate predictive models and scoring systems into Segment audiences.
• Work with Engineering to prioritize and optimize tracking instrumentation and data pipelines that feed Segment.
• Lead conversations around audience performance insights and opportunities with stakeholders at all levels.
• Serve as the internal SME for Segment audience capabilities, managing integrations with downstream platforms (e.g., Meta Ads, Google Ads, Salesforce).
• Proactively identify and lead improvements to how we manage identity resolution, audience logic, and data quality.
• Drive innovation by testing and implementing new tools, features, or strategies to improve marketing precision and scalability.
• Define and enforce best practices for audience measurement, control group creation, and A/B testing readiness.
• Ensure that all audience management practices align with data privacy regulations (GDPR, CCPA) and internal data governance policies.

Requirements

• 6+ years of experience in Marketing Technology, Growth Marketing, or Marketing Operations, with at least 3+ years of hands-on experience with Segment or equivalent CDPs.
• Proven leadership in developing and scaling audience segmentation frameworks in a cross-functional environment.
• Strong technical fluency: able to bridge the gap between marketing requirements and data/engineering execution.
• Deep understanding of digital marketing ecosystems and data-driven targeting strategies.
• Experience working with or alongside Data Science (e.g., using predictive models, LTV scoring) and Engineering (e.g., instrumentation, pipelines).
• Proficiency in SQL and comfort with analyzing or interpreting large datasets.
• Exceptional project management, communication, and stakeholder management skills.

Nice to Have

• Experience with data privacy regulations such as GDPR and CCPA.
• Familiarity with downstream platforms like Meta Ads, Google Ads, and Salesforce.
• Knowledge of audience measurement, control group creation, and A/B testing practices.

Qualifications

• Educational background is not explicitly specified, but extensive experience in marketing technology roles is required.

Benefits & Perks

• Medical, Dental, Vision Insurance
• 401k, With Matching Contributions
• Paid Time Off
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• Short-Term/Long-Term Disability Insurance
• Fertility, Mental Health, One Medical, Fringe lifestyle benefits up to $250