Senior AI Marketing Solutions Architect, Growth AI Transformation

Whether you're on a consumer product (like Gmail, Search, Maps, Chrome, Android) or a business product (Google Ads, AdSense, Google Marketing Platform, Analytics), you take part in a complete marketing experience as you lead every facet of the product's journey. From determining positioning, naming, competitive analysis, feature prioritization and external communications, you help shape the product and help it grow a consumer base. This means you work with a cross-functional team across Sales, corporate communications, legal, webmasters, product development, engineering and more. In this role, you'll be involved with product marketing strategy from beginning to end.

The Growth AI Transformation team is the Central Marketing team driving O&O growth agentic innovation for all of Google Marketing. Our mission is to collapse the latency between strategy and execution shifting away from vanity metrics like volume of output toward true agentic impact, velocity, and value realization.

As an AI Marketing Solutions Architect on the Growth AI Transformation team, you will be responsible for the end-to-end product scoping and delivery of key Owned and Operated (O&O) agentic workflows, moving beyond traditional campaign management to engineer the future of autonomous growth. In this role, you will advocate long-term product strategy across multiple teams, ensuring our intelligent systems are not just dreaming, but plotting a viable course for global scale.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $171000 - $248000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

• Structure prompt-aware content to ensure AI agents respond accurately, determining where they require deterministic context versus Large Language Model (LLM) reasoning.
• Organize, tag, and chunk internal data to optimize Retrieval-Augmented Generation (RAG) systems for instant, precise retrieval.
• Analyze failed runs and awkward handoffs to identify context gaps, implementing real-time fixes to the agent's knowledge base.
• Bridge departments by harvesting and translating functional knowledge from product, legal, and brand into structured, agent-digestible formats.
• Drive alignment among cross-functional leaders with conflicting goals to advocate for durable, long-term product experience strategies that mitigate unintentional harm.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 9 years of experience in UX, or design setting, or a related field.
• Experience working cross-functionally with various stakeholders and teams.
• Experience in systems design, data pipeline management, and driving design and adoption of legacy marketing technology (martech).

Preferred qualifications:

• Direct experience integrating LLMs or agentic tools into production-ready web environments or growth-focused workflows.
• Deep expertise in martech architectures or growth-focused AI applications, such as autonomous journey orchestration or algorithmic brief generation.
• Expertise in organizing and tagging complex datasets for semantic search and retrieval systems.
• Proven track record of defining and driving long-term product strategy in highly ambiguous environments where no precedent exists.
• Proficiency in engineering the underlying logic of agentic workflows and working with model APIs/toolchains.