Intuit
Senior Marketing Manager, AI and Personalization
Intuit, San Francisco, California, United States, 94199
Senior Marketing Manager, AI and Personalization
Intuit is a mission-driven, global financial technology platform. We empower customers to prosper by solving their most important problems with technology, helping them put more money in their pockets, reducing work, and enabling better financial decisions. Our flagship products include QuickBooks, TurboTax, Credit Karma, and Mailchimp.
We are seeking a Senior Marketing Manager, AI and Personalization to join our Lifecycle Transformation and Growth (LTG) team. You will partner 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 across the org to understand how to connect current capabilities and identify gaps.
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 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 ELM and GBSG.
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 (email, push, SMS, in-product display ads) with depth in at least one area.
Experience delivering AI in marketing; fluency in model techniques, marketing use cases, and cross-functional delivery with product, engineering, analytics, and data science.
Strong strategic thinking to identify customer needs, opportunities, and market trends for impactful personalization strategies.
Excellent communication and influence skills with data-backed narratives to secure buy-in.
Tech-forward mindset with comfort applying AI, martech, and data tools to improve performance and personalize experiences.
Skilled in data analysis and experimentation; builds robust business cases and designs experiments to drive decisions.
Proven ability to drive measurable results tied to customer adoption, engagement, or monetization.
Ability to communicate objectives, plans, status, and results clearly with a focus on critical points.
High intellectual curiosity and a growth mindset; passion for advancing personalization and AI innovation.
Proficiency with project management and data tools (e.g., GitHub, JIRA, Confluence, Google Docs, Excel, Qlik Sense, Tableau, Amplitude).
Additional information Employment type: Full-time
Seniority level: Mid-Senior level
Location: San Francisco Bay Area / California-based roles as applicable
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We are seeking a Senior Marketing Manager, AI and Personalization to join our Lifecycle Transformation and Growth (LTG) team. You will partner 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 across the org to understand how to connect current capabilities and identify gaps.
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 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 ELM and GBSG.
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 (email, push, SMS, in-product display ads) with depth in at least one area.
Experience delivering AI in marketing; fluency in model techniques, marketing use cases, and cross-functional delivery with product, engineering, analytics, and data science.
Strong strategic thinking to identify customer needs, opportunities, and market trends for impactful personalization strategies.
Excellent communication and influence skills with data-backed narratives to secure buy-in.
Tech-forward mindset with comfort applying AI, martech, and data tools to improve performance and personalize experiences.
Skilled in data analysis and experimentation; builds robust business cases and designs experiments to drive decisions.
Proven ability to drive measurable results tied to customer adoption, engagement, or monetization.
Ability to communicate objectives, plans, status, and results clearly with a focus on critical points.
High intellectual curiosity and a growth mindset; passion for advancing personalization and AI innovation.
Proficiency with project management and data tools (e.g., GitHub, JIRA, Confluence, Google Docs, Excel, Qlik Sense, Tableau, Amplitude).
Additional information Employment type: Full-time
Seniority level: Mid-Senior level
Location: San Francisco Bay Area / California-based roles as applicable
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