Lead Digital Product Manager- Future Autonomous Marketing (FAM) Experience Optimization Agent

Wells Fargo Bank•San Francisco, CA

7h•Hybrid

About The Position

Wells Fargo is seeking a Lead Digital Product Manager for its Future Autonomous Marketing (FAM) team, which is transforming marketing planning, creation, optimization, and delivery through AI-powered agents. The role serves as strategic Product Owner for the Experience Optimization Agent, a FAM capability that helps campaign managers design, configure, launch, measure, and optimize digital experiments and personalized experiences using AI-assisted recommendations, guided workflows, automation, and decision support. The Product Manager owns the capability’s vision, strategy, roadmap, backlog, delivery priorities, adoption, and business outcomes. The role defines how AI and experimentation platforms, including Adobe Target, work together to simplify complex processes, improve experimentation quality, accelerate delivery, and increase customer and business value. This is a product leadership position, not a hands-on test-building, campaign-execution, or experimentation-practitioner role. The Product Owner is accountable for setting product direction, defining platform capabilities, making prioritization and trade-off decisions, and delivering an enterprise-scale AI-enabled product. The position works with engineering, architecture, data science, analytics, design, risk, controls, marketing, digital, operations, and other teams. It also ensures capabilities align with enterprise governance, compliance, security, privacy, and Responsible AI standards, embedding appropriate controls, transparency, and human oversight.

Requirements

At least 5 years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
At least 3 years of experience leading digital products, experimentation platforms, personalization platforms, marketing technology solutions, or related enterprise capabilities.
Strong understanding of experimentation and personalization platforms, including Adobe Target or comparable technologies.
At least 2 years of experience with Artificial Intelligence, Generative AI, agentic solutions, or AI-enabled product capabilities.
Willingness to work from one of the locations stated in the job posting on a hybrid schedule.
VISA sponsorship is not supported for this role.

Nice To Haves

Demonstrated experience owning product strategy, roadmaps, backlogs, and measurable business outcomes.
Experience partnering with engineering, architecture, data, analytics, and design teams to deliver complex platform capabilities.
Experience as a Product Owner or Product Manager for an enterprise platform, AI-enabled capability, workflow product, experimentation platform, or marketing technology ecosystem.
Strong understanding of product management disciplines, including discovery, strategy, roadmap development, backlog prioritization, agile delivery, and value realization.
Working knowledge of Adobe Target, digital experimentation, A/B testing, personalization, analytics, and optimization practices.
Familiarity with platform architecture, APIs, integrations, data flows, and enterprise technology ecosystems.
Familiarity with Generative AI, large language models, AI agents, agent orchestration, and Responsible AI practices.
Experience delivering platform-scale capabilities that support reuse, configurability, and multiple downstream consumers.
Ability to evaluate technical trade-offs and partner effectively with engineering and architecture teams.
Experience defining product KPIs, adoption strategies, and value realization frameworks.
Proven ability to work cross-functionally in an agile delivery model.
Experience operating in a regulated enterprise environment.
Knowledge of Responsible AI and human-in-the-loop workflows.
Exceptional problem-solving, communication, and stakeholder management skills.
Ability to synthesize complex business, technical, operational, and AI concepts into clear recommendations and decisions.
Demonstrated ability to influence and collaborate effectively at all levels.

Responsibilities

Own the vision, strategy, roadmap, and outcomes for the Experience Optimization Agent.
Prioritize investments and capabilities that deliver measurable value for marketers and the business.
Define product requirements and drive execution from discovery through delivery and adoption.
Track product performance and improve outcomes based on user feedback and data.
Define how AI-powered recommendations, automation, and agent capabilities integrate into experimentation workflows.
Partner with technology, architecture, data, and AI teams to deliver scalable, reusable platform capabilities.
Balance user needs, business value, technical feasibility, and risk in product decisions.
Shape the long-term evolution of the Experience Optimization Agent within the FAM ecosystem.
Deliver capabilities that simplify the creation, configuration, and optimization of experimentation and personalization activities.
Enable guided workflows, intelligent recommendations, and best practices to improve experimentation quality and efficiency.
Drive improvements in customer engagement, conversion, and marketing effectiveness.
Promote scalable and consistent experimentation practices across teams.
Partner across marketing, digital, analytics, technology, operations, and risk teams to deliver business outcomes.
Align stakeholders on priorities, roadmap decisions, and success measures.
Communicate product strategy, progress, and impact to senior leadership.
Influence decisions and drive alignment across teams and functions.
Ensure product capabilities align with enterprise governance, compliance, security, privacy, and Responsible AI standards.
Partner with Risk, Legal, Compliance, and Technology Controls teams to enable safe and responsible innovation.
Embed appropriate controls, transparency, and human oversight into AI-enabled capabilities.