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

Wells Fargo•Irving, TX

2d•$119,000 - $224,000•Hybrid

About The Position

Wells Fargo is seeking a Lead Digital Product Manager to join the Future Autonomous Marketing (FAM) team, an initiative focused on transforming how marketing is planned, created, optimized, and delivered through AI-powered agents. The role is the strategic Product Owner for the Experience Optimization Agent, a 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 product vision, strategy, roadmap, backlog, delivery priorities, adoption, and business outcomes. They define how AI and experimentation platforms, including Adobe Target, work together to simplify processes, improve experimentation quality, accelerate delivery, and increase customer and business value. The role translates marketer and business needs into scalable product capabilities and leads delivery with engineering, architecture, data science, analytics, design, risk, and control teams. It is a product leadership role—not a hands-on test-building, campaign-execution, or experimentation-practitioner position. The role requires willingness to work from one of the locations listed in the job posting on a hybrid schedule. Visa sponsorship is not supported. The stated base pay range is $119,000 to $224,000; employees may also be eligible for incentive opportunities. Pay may vary based on factors including prior performance, skills, experience, and work location.

Requirements

5+ years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
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.
2+ years of experience with Artificial Intelligence, Generative AI, agentic solutions, or AI-enabled product capabilities.
Candidate must be willing to work from one of the stated locations listed in the job posting on a hybrid schedule.

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 serving 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 track record of influencing and collaborating 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 continuously improve outcomes based on user feedback and data.
Define how AI-powered recommendations, automation, and agent capabilities are integrated into experimentation workflows.
Partner with technology, architecture, data, and AI teams to deliver scalable, reusable platform capabilities.
Make product decisions that balance user needs, business value, technical feasibility, and risk considerations.
Shape the long-term evolution of the Experience Optimization Agent within the Future Autonomous Marketing ecosystem.
Deliver capabilities that simplify the creation, configuration, and optimization of experimentation and personalization activities.
Enable guided workflows, intelligent recommendations, and best practices that 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 multiple 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.