Senior Manager - Martech
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Key skills for this role
Role Overview
The Senior Manager of Martech owns the marketing technology capability supporting user growth.
The role owns the growth marketing stack, predictive decisioning layer, internal growth products, and automations.
This is a senior, hands-on role with direct ownership of growth outcomes.
Key Skills for This Role
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Role Summary
The Senior Manager of Martech owns the marketing technology capability supporting user growth.
The role owns the growth marketing stack, predictive decisioning layer, internal growth products, and automations.
This is a senior, hands-on role with direct ownership of growth outcomes.
Martech and Measurement
- Own the health, configuration, and roadmap of CRM, engagement, attribution, MMP, analytics, and adjacent tooling.
- Own growth event and signal instrumentation and protect measurement integrity across paid, owned, and organic channels.
- Build and validate predictive capabilities for propensity to transact, next best product, next best offer, churn, reactivation, and offer optimization.
- Deploy intelligence as live scores and segments across business channels and surfaces.
Growth Products and Orchestration
- Build internal growth products and automations, including scoring pipelines, operational agents, reporting surfaces, and campaign tooling.
- Use AI-assisted development to deliver tools without dependency on engineering capacity.
- Translate segments and signals into lifecycle journeys and cross-service orchestration.
Tooling and Team Enablement
- Evaluate martech and AI tooling through build-versus-buy assessments, time-boxed proofs of concept, and costed recommendations.
- Raise the practical AI capability of the wider growth and marketing team.
Experience and Domain
- 7-10+ years in marketing technology, growth engineering, or data science applied to marketing is required.
- Experience in consumer-scale businesses such as app-first, fintech, or e-commerce environments is required.
- Hands-on ownership of a major CRM and engagement platform is required, covering journeys, segmentation, APIs, and deliverability.
- Practical command of mobile attribution and MMPs is required, including instrumentation, SDK behavior, deep linking, and attribution logic.
- Working knowledge of CDP architecture, identity resolution, and event schema design is required.
Technical and Commercial Skills
- Strong SQL and Python skills and commercial predictive-model deployment experience are required.
- Fluency with AI coding and agent tooling, demonstrated through delivered internal tools, is required.
- Strong commercial judgment and the ability to prioritize growth problems and build business cases are required.
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