Head of Marketing Futures

Intuit • Mountain View, CA

97d

About The Position

We're looking for a visionary marketing leader to head our Marketing Futures Team, a group embedded in our broader marketing organization tasked with defining, piloting, and scaling AI-enabled and future-oriented marketing capabilities. You will set strategy, lead innovation pilots, build cross-functional alignment, and drive measurable impact in efficiency, growth, and brand differentiation. We are looking for a growth-oriented marketer who is an avid learner, experimenter, and builder to change the marketing game.

Requirements

• 7-10 years of experience in performance and/or growth marketing, with at least 2-3 years leading innovation, AI/automation, or similar functions in a SaaS or fintech.
• Demonstrable track record of delivering both strategic plans and executing pilots or products that drove measurable business impact (efficiency, growth, ROI).
• Strong data orientation and analytical skills: comfortable working with data, metrics, experiments.
• Experience with dashboards, analytics tools, attribution modelling.
• Hands-on expertise with generative AI, prompt engineering, AI search optimization, automation tools.
• Comfort with new technologies, emerging tools, and willingness to experiment / push.
• Strong leadership and organizational skills; ability to influence across teams.
• Excellent communication and storytelling skills; comfort presenting to senior stakeholders.
• Experience in regulated environments is a plus (especially in fintech), e.g. dealing with privacy, compliance, or risk considerations.

Responsibilities

• Define and own the roadmap for AI and automation initiatives across the marketing org: from ideation through testing and scaling.
• Lead high-visibility pilots in areas like AI-led content search / SGE optimization, generative creative workflows, dynamic personalization, etc.
• Work closely with SEO, Web, Performance, Paid Media, and Partner teams to embed AI-driven enhancements into their channel strategies.
• Measure performance of experiments: build frameworks for A/B / multivariate tests; track lift, efficiency gains, risk factors.
• Build and maintain internal playbooks, prompt libraries, workflow templates, and knowledge assets.
• Evangelize adoption: training, internal communication, stakeholder management; organize innovation councils / office hours.
• Manage team of mixed disciplines: creative technologist, content architect, data & automation lead, experiment engineer.
• Ensure adherence to compliance, data privacy, brand safety, ethical AI.

What This Job Offers

• Industry: Professional, Scientific, and Technical Services