Senior Lead Digital Product Manager – EMM & Orchestration
Wells Fargo is hiring a Senior Lead Digital Product Manager – EMM & Orchestration in San Francisco, United States. Level rates it ; you can apply on Wells Fargo.
Level's read on this job
- Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions Copilot, prompt engineering and RAG among its tools and skills.
- Level classes it as a lead role.
- Wells Fargo has 1,600+ other open roles on Level.
- Posted within the past week.
AI in this role
Lead product strategy and roadmap for enterprise Generative AI capabilities, focusing on copilot UIs and AI agent orchestration.
About this role
Wells Fargo is seeking a Senior Lead Digital Product Manager within the Marketing & Sales Platform team to lead new enterprise Generative AI capabilities — EMM & Orchestration. EMM will serve as the central UI (“copilot”) for campaign managers to design, test, approve, and deploy marketing campaigns, while an orchestration layer coordinates a set of downstream AI agents that handle audience targeting, creative generation, channel activation, compliance checks, and performance insights. These capabilities will be an integral part of our overall GenAI Marketing strategy - Future Autonomous Marketing.
As a product owner, you will drive complex feature delivery across EMM and its Orchestration layer, translating business needs into actionable requirements and partnering deeply with engineering, data science, design, marketing, compliance, and risk.
In this role, you will:
- Own and evolve the product strategy and roadmap for EMM and the Orchestration layer, ensuring each feature aligns to 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 well‑formed epics, user stories, and testable acceptance criteria. This includes shaping UX requirements for campaign managers and marketing operations.
- Partner tightly with engineering, data science, AI/ML, analytics, and design teams to lead agile delivery—driving refinement, sprint execution, release planning, incident response, and continuous improvement across EMM and Orchestration components.
- Build and advance the orchestration layer that coordinates downstream AI agents responsible for audience selection, segmentation, creative generation, channel activation and flighting, compliance and brand safety checks, and performance insights—ensuring seamless end‑to‑end campaign execution.
- Ensure enterprise‑grade reliability, observability, and governance by supporting SLAs, telemetry, red‑teaming, evaluation harnesses, model risk management, privacy/PII safeguards, prompt logging, and human‑in‑the‑loop review workflows.
- Drive ongoing discovery and user research, building strong feedback loops with marketers, power users, and partner teams; incorporate insights into iterative product improvements, UX refinements, and backlog adjustments.
- Collaborate across Marketing, MarTech/AdTech, Legal/Compliance, Risk, and InfoSec to ensure compliance with Responsible AI, security, content policy guardrails, and model governance standards required in a regulated enterprise environment.
- 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 effectiveness.
Required Qualifications
- 7+ years of digital product management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Proven experience with Marketing platforms, representing expertise in successfully 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.
Desired Qualifications
- Demonstrated delivery of complex, platform-scale capabilities.
- Experience writing detailed acceptance criteria and partnering tightly 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.
Job Expectations:
- Willingness to work on-site at one of the stated locations on the job opening.
- This position offers a hybrid work schedule.
- Relocation assistance is not available for this position.
- This position is not eligible for Visa sponsorship.
Posting Locations:
- Charlotte, NC -- 550 S. Tryon St.
- Irving, TX -- 401 Las Colinas Blvd.
- San Francisco, CA – 333 Market St.
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. $159,000.00 - $305,000.00
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:
25 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.
How we rate this
Senior Lead Digital Product Manager – EMM & Orchestration at Wells Fargo rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Pay
- Typical AI product manager job
- $180k
This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- Tell me about a project where product management was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Safety, and Product Management. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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