Digital Product Management Senior Manager- Surface & Agent Orchestration

Wells Fargo•Irving, TX

19h•Hybrid

About The Position

About this role: Wells Fargo is seeking a Digital Product Management Senior Manager within the Marketing & Sales Platform team to lead new enterprise Generative AI capabilities — Surface & Orchestration. Surface 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. This role blends product strategy and platform delivery, bringing together marketing, AI engineering, data science, analytics, risk, and operations to deliver a secure, scalable, and compliant capability for Consumer Marketing. You will define the product vision and roadmap, develop a new team, own the backlog (epics/features/acceptance criteria), and also implement a robust product operating model—covering governance, model risk management, observability, and support—so marketers can confidently adopt Surface for end‑to‑end campaign workflows.

Requirements

6+ years of digital product management or leadership experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
3+ years of management or leadership experience
Proven experience with Pega and Adobe platforms, representing expertise in successfully implementing complex solutions across the Marketing life cycle; this should include decision engines, RTCDP, testing and content.
Hands‑on familiarity with Generative AI platforms (LLMs), agent orchestration frameworks, prompt engineering, vector search/RAG, experimentation, and evaluation methods.

Nice To Haves

Proven success owning strategy, roadmap, and delivery for complex, cross‑functional products; strong stakeholder management and executive communication.
Expertise in agile product delivery (backlog management, PI planning, sprint ceremonies, release planning) and writing clear, testable acceptance criteria.
Experience integrating enterprise products with marketing technology stacks, APIs, and data platforms; ability to reason about data lineage, quality, and privacy.
Demonstrated ability to implement governance and controls across privacy, security, and Responsible AI; comfortable partnering with Risk, Legal, and InfoSec.
Ability to synthesize multi-dimensional, complex, and interrelated concepts into clear, consumable, implications, actions, and decisions
Demonstrated track record of effective influencing and collaboration at all levels
Exceptional problem solving abilities
Exceptional ability to translate complex business and operational concepts so they are clearly understood in support of sound decisions to meet business objectives
Excellent written and oral communication skills with ability to clearly communicate results
Candidate must be willing to work onsite at one of the stated locations listed in the job posting on a hybrid schedule.

Responsibilities

Own the product vision, strategy, and roadmap for Surface, a Generative AI capability that acts as a central UI and an orchestration layer for downstream marketing agents.
Define user journeys and UX for campaign managers and marketing operations (brief, ideation, audience selection, creative generation, approvals, deployment, and post‑launch optimization).
Translate business outcomes into well‑formed epics, features, and acceptance criteria; prioritize and sequence the backlog; and lead agile teams to ship high‑quality increments.
Build and evolve the orchestration layer that coordinates downstream agents (e.g., audience & segmentation, creative & content, channel & flighting, compliance & brand safety, analytics & insights).
Establish product operations, including SLAs, incident response, observability/telemetry, evaluation harnesses, red‑teaming, and continuous improvement loops.
Partner across Marketing, AI/ML Engineering, Data Science, Analytics, MarTech/AdTech, Legal/Compliance, InfoSec, and Risk to deliver an enterprise‑grade capability.
Integrate with agents that will perform tasks on the broader martech stack (e.g., journey orchestration, personalization, A/B testing, CDP, email/SMS/push platforms, paid media APIs) to enable end‑to‑end campaign execution.
Implement Responsible AI and Model Risk Management practices (governance, privacy/PII safeguards, bias/quality testing, prompt logging, human‑in‑the‑loop review, and content policy guardrails).
Drive performance and cost management (token usage, caching, RAG, model selection, throughput/latency SLAs) and define quality metrics (precision/recall, hallucination rates, user satisfaction).
Define adoption, engagement, and business impact KPIs; create dashboards and mechanisms to track outcomes (time‑to‑launch, lift, operational efficiency, compliance findings).
Own change management, enablement, and training for marketers; build a strong feedback loop with power users and a Community of Practice.
Lead vendor/partner evaluations and negotiations for LLMs, agent frameworks, vector databases, and observability tools; manage budgets and contracts in partnership with sourcing.
Coach and develop a team of product managers and product analysts; establish best practices in discovery, experimentation, and data‑driven decision making.
Foster a strong agile discipline that inspires teams to continuously improve delivery evidenced through key agility metrics
Build frameworks for complex decision making that enable effective debate and accelerate getting to the right answer