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

About this role:

Wells Fargo is seeking a Lead Digital Product Manager to join the Future Autonomous Marketing (FAM) team, an initiative focused on transforming the way marketing is planned, created, optimized, and delivered through an ecosystem of AI-powered agents.

In this role, you will serve as the strategic Product Owner for the Experience Optimization Agent, a core capability within the FAM ecosystem. The Experience Optimization Agent will enable campaign managers to design, configure, launch, measure, and optimize digital experiments and personalized experiences through AI-assisted recommendations, guided workflows, automation, and decision support.

You will own the product vision, strategy, roadmap, backlog, delivery priorities, adoption, and business outcomes for this capability. You will define how AI and experimentation platforms, including Adobe Target, work together to simplify complex processes, improve experimentation quality, accelerate speed to market, and increase customer and business value.

This role requires a product leader who understands digital experimentation, marketing technology platforms, platform integrations, and emerging AI capabilities. The successful candidate will translate marketer and business needs into scalable product capabilities and lead delivery in partnership with engineering, architecture, data science, analytics, design, risk, and control teams.

This is not a hands-on test builder, campaign execution, or experimentation practitioner role. The Product Owner must understand experimentation and personalization practices but will be primarily accountable for setting product direction, defining platform capabilities, making prioritization and trade-off decisions, and delivering an enterprise-scale, AI-enabled product.

In this role, you will:

• Product Strategy & Ownership

  • 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.

• AI & Platform Leadership

  • 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.
  • Drive 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.

• Experimentation & Personalization

  • 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.

• Cross-Functional Leadership

  • 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.

• Governance & Risk Management

  • 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.

Required Qualifications:

• 5+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• 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.

Desired Qualifications:

• 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.

Candidate must be willing to work from one of the stated locations listed in the job posting on a hybrid schedule.

VISA Sponsorship will not be supported by this role.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities. $119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

• Health benefits

• 401(k) Plan

• Paid time off

• Disability benefits

• Life insurance, critical illness insurance, and accident insurance

• Parental leave

• Critical caregiving leave

• Discounts and savings

• Commuter benefits

• Tuition reimbursement

• Scholarships for dependent children

• Adoption reimbursement

Posting End Date:

29 Oct 2026

Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.