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About the Role

Wells Fargo is seeking a Lead Digital Product Manager to join the Future Autonomous Marketing (FAM) team, focused on transforming marketing through AI-powered agents. You will serve as the strategic Product Owner for the Experience Optimization Agent, a core capability within the FAM ecosystem, enabling 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, defining how AI and experimentation platforms work together to simplify 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, translating needs into scalable product capabilities and leading delivery in partnership with various teams. This is not a hands-on test builder, campaign execution, or experimentation practitioner role; the Product Owner will focus on setting product direction, defining platform capabilities, making prioritization decisions, and delivering an enterprise-scale, AI-enabled product.

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.
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.
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.

Requirements

5+ years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, or 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.
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.

Skills

Digital product management
Digital products
Experimentation platforms
Personalization platforms
Marketing technology solutions
Artificial Intelligence
Generative AI
Agentic solutions
AI-enabled product capabilities
Product strategy
Roadmaps
Backlogs
Business outcomes
Engineering partnership
Architecture partnership
Data partnership
Analytics partnership
Design partnership
Complex platform capabilities
Enterprise platform management
Workflow product management
Marketing technology ecosystem management
Product management disciplines
Discovery
Strategy development
Roadmap development
Backlog prioritization
Agile delivery
Value realization
Adobe Target
Digital experimentation
A/B testing
Personalization
Analytics
Optimization practices
Platform architecture
APIs
Integrations
Data flows
Enterprise technology ecosystems
Large language models
AI agents
Agent orchestration
Responsible AI practices
Platform-scale capabilities
Reuse
Configurability
Downstream consumer support
Technical trade-offs evaluation
Product KPIs definition
Adoption strategies
Value realization frameworks
Cross-functional collaboration
Agile delivery model
Regulated enterprise environment operation
Human-in-the-loop workflows
Problem-solving
Communication
Stakeholder management
Synthesizing complex concepts
Influencing
Collaboration

Location

Hybrid

Work Type

Hybrid

Experience Level

Lead
5+ years of digital product management experience
3+ years of experience leading digital products, experimentation platforms, personalization platforms, marketing technology solutions, or related enterprise capabilities.
2+ years of experience with Artificial Intelligence, Generative AI, agentic solutions, or AI-enabled product capabilities.

Salary/Compensations

$119,000.00 - $224,000.00

Benefits

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

About the Company

Wells Fargo is an equal opportunity employer.
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.
Wells Fargo maintains a drug free workplace.

Equal Opportunity

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.
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Third-Party recordings are prohibited unless authorized by Wells Fargo.
Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
Please be prepared to provide accurate information and supporting documentation in connection with any lawful employment and education verification conducted by Wells Fargo.