VP, Marketing Technology

Benefits

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Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Application

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About this role

VP, Marketing Technology San Diego, CA Axos Bank Target Range: $160,000.00/Yr. - $170,000.00/Yr. Actual starting pay will vary based on factors including, but not limited to, geographic location, experience, skills, specialty, and education. Eligible for an Annual Discretionary Cash Bonus Target: 10% Eligible for an Annual Discretionary Restricted Stock Units Bonus Target: 10% These discretionary target bonuses may be awarded semi-annually based upon your achievement of performance goals and targets. About This Job Axos Bank is seeking a visionary and execution-driven VP of MarTech & CRM to lead our next phase of data-driven marketing transformation. This role will serve as the principal architect and owner of the marketing technology ecosystem, responsible for centralizing customer data, orchestrating journeys across channels, and enabling hyper-personalized engagement at scale. In this role, you will drive the strategy and operations of our MarTech stack-including Salesforce Marketing Cloud (SFMC), Einstein, Stensul, Branch, Extole, Validity Everest, Tealium, and other emerging tools - to ensure our marketing data, segmentation logic, triggers, and customer journeys are efficient, scalable, and performance-oriented. You will also oversee audience strategy, real-time personalization capabilities, and integration across platforms to unlock growth in acquisition, retention, and cross-sell. ​ Responsibilities: Own and evolve the MarTech ecosystem to support omnichannel customer engagement, including Salesforce Marketing Cloud, Einstein for predictive insights, Stensul for content velocity, and other supporting platforms Develop and operationalize the CRM strategy that drives acquisition, onboarding, engagement, retention, and lifetime value across Consumer and Business segments Lead segmentation, personalization, and lifecycle automation, ensuring data integrity

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