Senior Marketing Manager, AI and Personalization

About the Role

Key Responsibilities

• Partner with product, engineering, analytics, and data science teams to define and implement new personalization and AI use cases that accelerate adoption, engagement, and ARPC.
• Collaborate with internal advanced analytics and AI stakeholders to understand current capabilities and identify gaps, working with product managers to articulate requirements.
• Translate customer insights, behavioral data, and business needs into prioritized opportunities and technical requirements.
• Lead test-and-learn roadmaps that validate hypotheses, leveraging experimentation frameworks to optimize personalization strategies.
• Shape multi-channel strategies across email, push, SMS, web, and in-product communications to deliver relevant, timely, and impactful customer experiences.
• Ensure alignment between personalization roadmaps, technical feasibility, and business impact.
• Build business cases and report on performance of new capabilities, demonstrating their impact on revenue, ROI, and retention.
• Partner with execution teams to ensure use cases are delivered as expected to support growth and innovation goals.
• Contribute to the evolution of Intuit's CRM and personalization capabilities, advancing best practices and scaling innovation.

Requirements

• 3-5+ years of experience in personalization, CRM, growth, or data-driven marketing, with exposure to AI/ML applications such as propensity models, recommendation systems, or generative AI.
• Breadth of knowledge across all CRM marketing channels (email, push notifications, SMS, in-product display ads) with hands-on experience in at least one.
• Experience delivering AI in marketing, including fluency in model techniques and marketing use cases, and ability to partner across teams to deliver scalable personalization.
• Strong strategic thinking skills to identify customer needs, business opportunities, and market trends.
• Excellent communication and influence skills to craft data-backed narratives and secure stakeholder buy-in.
• Tech-forward mindset with comfort applying AI, martech, and data tools to improve performance.
• Skilled in data analysis and experimentation, capable of building business cases, designing experiments, and iterating quickly.
• Experience driving measurable results related to customer adoption, engagement, or monetization.
• Proficiency with project management tools such as GitHub, JIRA, Confluence, and data analysis tools like Google Docs, Excel, Qlik Sense, Tableau, and Amplitude.

Nice to Have

• Experience with AI/ML applications such as propensity models, recommendation systems, or generative AI.
• Experience working with cross-functional teams including product, engineering, analytics, and data science.
• Familiarity with experimentation frameworks and multi-channel marketing strategies.

Qualifications

• Formal educational qualifications are not explicitly specified in the description.

Benefits & Perks

• Competitive compensation package with a strong pay-for-performance rewards approach.
• Base pay range: Bay Area California $128,000 - $173,000; Southern California $120,000 - $162,000.
• Eligibility for cash bonus, equity rewards, and benefits.
• Additional benefits as outlined at Intuit Careers | Benefits.