Senior Lead Digital Product Manager – EMM & Orchestration

Wells Fargo Bank•San Francisco, CA

2d•$159,000 - $305,000•Hybrid

About The Position

Wells Fargo is seeking a Senior Lead Digital Product Manager within the Marketing & Sales Platform team to lead enterprise Generative AI capabilities for EMM and Orchestration. EMM will serve as a central user interface, or “copilot,” for campaign managers to design, test, approve, and deploy marketing campaigns. An orchestration layer will coordinate downstream AI agents that support audience targeting, creative generation, channel activation, compliance checks, and performance insights. These capabilities are part of Wells Fargo’s Future Autonomous Marketing strategy. The product owner will drive complex feature delivery across EMM and its orchestration layer, translating business needs into actionable requirements and partnering with engineering, data science, design, marketing, compliance, and risk. The role owns product strategy and roadmap, manages a high-impact cross-functional backlog, leads agile delivery, and advances end-to-end campaign workflows. It also supports enterprise reliability, observability, governance, user research, compliance, and measurement of product impact in a regulated enterprise environment. The position offers a hybrid work schedule and requires willingness to work on-site at one of the listed locations: Charlotte, North Carolina; Irving, Texas; or San Francisco, California. Relocation assistance is unavailable, and the position is not eligible for visa sponsorship. The posted base pay range is $159,000 to $305,000; pay may vary based on factors including performance, skills, experience, and work location. Employees may also be eligible for incentive opportunities.

Requirements

At least 7 years of digital product management experience, or equivalent demonstrated through work experience, training, military experience, education, or a combination of these.
Proven experience with marketing platforms and expertise implementing complex solutions across the marketing life cycle.
Hands-on familiarity with Generative AI platforms (LLMs), agent orchestration frameworks, prompt engineering, vector search/RAG, experimentation, and evaluation methods.
Willingness to work on-site at one of the stated locations; the position has a hybrid work schedule.

Nice To Haves

Demonstrated delivery of complex, platform-scale capabilities.
Experience writing detailed acceptance criteria and partnering closely with engineering.
Proven ability to operate in a regulated enterprise environment.
Experience with vector search, RAG, evaluation, and observability tools.
Familiarity with model risk management and Responsible AI.
Experience supporting human-in-the-loop creative or compliance workflows.

Responsibilities

Own and evolve the product strategy and roadmap for EMM and the orchestration layer, aligning features with end-to-end campaign workflows from brief and ideation through deployment and post-launch optimization.
Define, prioritize, and sequence the backlog for high-impact, cross-functional capabilities, translating marketing and operational needs into epics, user stories, and testable acceptance criteria.
Shape UX requirements for campaign managers and marketing operations.
Partner with engineering, data science, AI/ML, analytics, and design teams to lead agile delivery, including refinement, sprint execution, release planning, incident response, and continuous improvement.
Build and advance the orchestration layer coordinating downstream AI agents for audience selection and segmentation, creative generation, channel activation and flighting, compliance and brand safety checks, and performance insights.
Support enterprise-grade reliability, observability, and governance, including SLAs, telemetry, red-teaming, evaluation harnesses, model risk management, privacy and PII safeguards, prompt logging, and human-in-the-loop review workflows.
Drive ongoing discovery and user research with marketers, power users, and partner teams, incorporating feedback into product improvements, UX refinements, and backlog adjustments.
Collaborate with Marketing, MarTech/AdTech, Legal/Compliance, Risk, and InfoSec to meet Responsible AI, security, content-policy, and model-governance standards.
Define, measure, and improve product impact, contributing to KPIs such as adoption, engagement, time-to-launch, operational efficiency, model quality, hallucination rates, and compliance outcomes.
Support dashboarding and instrumentation to track product effectiveness.
Follow applicable Wells Fargo policies and procedures and fulfill risk and compliance obligations, including proactive monitoring, governance, risk identification, escalation, and remediation.