Program Lead, AI Marketing, Evolution

Program Lead, AI Marketing, Evolution

Advanced experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 10 years of experience in digital transformation, management consulting, or marketing operations.
• Experience building or managing AI-agentic workflows (e.g., orchestrating multiple AI agents to complete multi-step tasks).

Preferred qualifications:

• Experience in prototyping and building in public to show proof of concept.
• Track record of stakeholder management at the executive level.
• Knowledge of personal and professional immersion in the AI ecosystem, recognized as a power user or builder who handles day-to-day tasks through customized AI orchestration.
• Ability to serve as an AI influencer internally using storytelling and demonstrations to guide the adoption of new technologies.
• Ability to quantify the agentic dividend distilling complex data into clear business outcomes and productivity metrics.

About the job:

We are the strategic and operational (S&O) engine for the Consumer Apps Marketing (CAM) organization. Our central S&O team partners with Marketing leaders across a vast portfolio from frontier AI initiatives like Gemini App to billion-user products like Google Search and Google Maps. As an agile, entrepreneurial team, we drive the organization's core strategy, scaled operations, research and insights, analytics, executive communications, and special projects. Our mission is to architect the strategic frameworks and scalable infrastructure that enable our leads to run and scale their teams successfully.

As a Program Lead, you will serve as the central architect for the future of consumer apps marketing at Google. You are an AI Native someone who views AI agents not as tools, but as a fundamental layer of the modern workforce.

In this role, you will partner with the strategy and operations executive director to bridge the gap between AI technology and marketing operations. You will be responsible for moving the 250+ person organization from manual workflows to agentic loops, leveraging your deep personal experience with AI to inspire, educate, and transform how we bring Google's most iconic products like Gemini, Search, and Maps to the world.

Know the user. Know the magic. Connect the two. At its core, marketing at Google starts with technology and ends with the user, bringing both together in unconventional ways. Our job is to demonstrate how Google's products solve the world's problems--from the everyday to the epic, from the mundane to the monumental. And we approach marketing in a way that only Google can--changing the game, redefining the medium, making the user the priority, and ultimately, letting the technology speak for itself.

The US base salary range for this full-time position is $165,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Responsibilities:

• Design and deploy sophisticated, multi-agent AI workflows to automate complex marketing operations, moving beyond basic automation to true agentic orchestration.
• Act as a thought leader across consumer apps marketing. Bring people along by demonstrating high-impact AI use cases and fostering a culture where every marketer operates with an AI-first mindset.
• Define the roadmap for AI-driven disruption across consumer apps marketing, prioritizing areas where AI can guide the most significant Profit and Loss (P&L) impact through productivity gains.
• Manage ambiguous, high-stakes projects across consumer apps marketing, delivering actionable recommendations that leverage the latest in Google's AI technological stack.
• Stay at the absolute frontier of AI (e.g., Large Language Models (LLMs), agents, multimodal tools) and rapidly translate our AI innovations into usable tools.