AI Marketing Manager Job Description

Use this as a good starting place for your next hire. Make sure to tailor it to your stack, content surface area, and AI maturity.

Tailor to your team, tooling, and AI maturity. Don't ship as-is.

Why this role exists

We have AI work happening across marketing — content, lifecycle, performance, brand, ops. Some of it works. Some doesn't. Most of it isn't measured, and the tooling spend is climbing without a clear story. This role exists to fix that.

You'll set the strategy, choose the tools, define the governance, and lead the enablement that gets AI from "informal collection of pilots" to "measurable lift on the marketing plan." You'll sit between marketing leadership and the practitioners doing the day-to-day work, and you'll be the person making the calls that nobody else is positioned to make: what to fund, what to kill, what to defend, what to consolidate.

What the work looks like

• Set and maintain the AI marketing roadmap. Prioritize by impact, feasibility, and risk. Rebalance every quarter.
• Run a portfolio of AI pilots end-to-end, from problem framing through measurement. Decide what to scale, what to hand off, what to kill.
• Own the marketing AI tooling stack. Evaluate vendors and foundation models from providers like Anthropic, OpenAI, and Google. Make build-vs-buy calls. Manage budget.
• Define governance for AI use in marketing: brand voice, disclosure, IP, data handling, review processes. Partner with legal, brand, and security.
• Lead enablement. Build training, prompt libraries, playbooks, and office hours so the broader team can use AI well.
• Define and report on the metrics that prove (or disprove) impact. Build the dashboards. Run the reporting cadence.
• Partner with data, engineering, and martech ops to integrate AI into existing systems (CRM, CMS, marketing automation, BI).
• Stay close to the model and tooling landscape. Run quarterly reviews. Share what's worth tracking, ignore what isn't.
• Depending on team structure, coach or oversee related roles such as the AI Content Strategist, Prompt Engineer (Marketing), and Generative AI Designer.

Who we're looking for

You bring most of the following:

• 7+ years in marketing leadership or marketing operations, with at least two years leading AI adoption or major marketing technology programs.
• A real track record of running AI pilots in a marketing context and scaling at least one to a measurable business outcome.
• Strong fluency with the current generative AI landscape: foundation models, agents, RAG, fine-tuning, and the practical tradeoffs between them.
• Program management chops. You can run a portfolio, hold owners accountable, and make stop/scale calls based on data.
• Change management instincts. You've moved a 30-person marketing team from skeptical to fluent without breaking the culture.
• Comfort with measurement. You define attribution-aware metrics, build dashboards, and turn results into decisions.
• Strong written communication. You can write the one-page memo that lands with the CFO and the enablement playbook that lands with a junior marketer.
• Working knowledge of the modern martech stack and how AI integrates with it.

These help but aren't required:

• Background in B2B SaaS, e-commerce, or media at the scale you're hiring for.
• Hands-on experience building internal tools on top of model APIs, even at a prototype level.
• Experience with marketing data infrastructure: consent, CDP, attribution.
• Background in regulated industries where AI use requires extra rigor.
• Prior people-management experience.

What the first 90 days look like

Days 1–30. Map current AI usage, tooling, and pilots across marketing. Interview functional leads and 10+ practitioners. Identify the top five use cases by impact and feasibility.

Days 31–60. Publish the AI marketing roadmap and governance v1. Kill at least one pilot that isn't working. Stand up the measurement framework and baseline reporting.

Days 61–90. Scale two pilots into production. Roll out enablement to the broader team. Publish the first quarterly impact report to leadership.