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Intuit

Senior Marketing Manager, AI and Personalization

Intuit, Atlanta, Georgia, United States, 30383

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Overview

Intuit is a mission-driven, global financial technology platform that gives everyone the opportunity to prosper. We use technology to solve our customers’ most important problems, helping them put more money in their pockets, reducing work and drudgery, and enabling confident financial decisions. Our flagship products – QuickBooks, TurboTax, Credit Karma and Mailchimp – define our commitment to revolutionize how people manage their finances, run small businesses, and pay employees. Within Intuit, the Global Business Solutions Group (GBSG) powers the QuickBooks ecosystem. As part of GBSG, ELM is building next-generation personalization capabilities to reimagine how we engage customers across touchpoints, driving adoption, deepening engagement, and increasing average revenue per customer (ARPC). We are seeking a Senior Marketing Manager, AI and Personalization to join our Lifecycle Transformation and Growth (LTG) team. In this role, you will partner closely with product, engineering, analytics, and data science teams to identify, prioritize, and deliver personalization and AI-driven use cases that improve customer experiences and drive measurable business impact across the QuickBooks ecosystem. 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 gaps, articulating requirements with product managers. 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 opportunity sizing; report on performance of new capabilities (e.g., revenue impact, ROI, retention) to demonstrate the impact of personalization initiatives. Partner with execution teams to ensure use cases are delivered as expected to support growth and innovation goals. Contribute to the ongoing evolution of Intuit’s CRM and personalization capability stack, advancing best practices and scaling innovation across teams. Qualifications

3-5+ years of experience in personalization, CRM, growth, or data-driven marketing, with exposure to AI/ML applications (e.g., propensity models, recommendation systems, generative AI). Breadth of knowledge across CRM marketing channels (e.g., email, push, SMS, in-product display ads) with depth in at least one area. Experience delivering AI in marketing, including fluency in model techniques, marketing use cases, and partnering across product, engineering, analytics, and data science to deliver scalable personalization capabilities. Strong strategic thinking to identify customer needs, opportunities, and market trends to shape personalization strategies. Excellent communication and influence skills; ability to craft data-backed narratives that align stakeholders and secure buy-in. Tech-forward mindset; comfortable applying AI, martech, and data tools to improve performance and deliver personalized customer experiences. Data analysis and experimentation skills; builds robust business cases and designs experiments to drive decisions. Experience driving measurable results related to customer adoption, engagement, or monetization. Ability to communicate objectives, plans, status, and results clearly, focusing on key points. High intellectual curiosity and growth mindset with a passion for personalization and AI innovation. Proficiency with project management software (GitHub, JIRA, Confluence), Google Docs, Excel, Qlik Sense, Tableau, Amplitude, and other data analysis tools.

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