
Staff Marketing Technology Manager
Robinhood
Menlo Park, CA • 24m ago • On-site
Senior
On-site
166,000 - 195,000 USD/yr
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Quick Facts
Role: Staff Marketing Technology Manager (Lead for Marketing Technology)
Focus: Privacy-first MarTech platform, composable CDP, and reverse ETL
Description
Own the technical vision, architecture, and roadmap for a world-class, privacy-first Marketing Technology stack. You’ll design and scale solutions that help marketing drive KPIs across Acquisition, Activation, Engagement, and Retention, partnering with product, engineering, data engineering, and data science. You’ll lead complex integrations and ensure reliability, observability, and governance of marketing data while mentoring Platform Managers.
Responsibilities
Own the technical roadmap and key design decisions for the MarTech platform, especially composable CDP and reverse ETL
Make and document architecture decisions and tradeoffs
Design and build AI-first systems to streamline operations
Set standards for marketing data modeling, governance, and movement between tools (patterns, conventions, best practices)
Partner with Marketing, product, data engineering, and data science to translate business goals into scalable, privacy-first solutions and a prioritized backlog
Lead design and delivery of complex integrations, custom scripts, and pipelines
Ensure accuracy, uptime, reliability, and observability of MarTech integrations; establish monitoring, alerting, incident response, and lead root-cause analysis
Mentor and coach Platform Managers and raise technical rigor for measurement and rollouts
Evaluate new MarTech tools/vendors and advise build-vs-buy decisions
Requirements
7+ years of professional experience in marketing technology, including 2+ years in a lead or senior individual contributor role
Deep hands-on experience designing and operating data integrations, pipelines, or customer data platforms at scale
Experience mentoring/developing technical team members and leading projects through technical design reviews
Sound understanding of data privacy, governance, and security practices for customer data
Strong communication skills to explain technical concepts and tradeoffs to technical and non-technical stakeholders
Benefits
Performance-driven compensation (bonuses, equity, and 401(k) matching)
100% paid health insurance for employees with 90% coverage for dependents; top-tier benefits
Access to employee investment fund (US eligible employees)
Access to best AI tools and continuous AI skill-building
Flexible benefits spending account (Lifestyle wallet)
Employer-paid life and disability insurance, fertility benefits, and mental health benefits
Time off including holidays, paid time off, sick time, parental leave, and more
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