Product Manager ( Salesforce​/Digital Agent Enablement

Overview

At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often—that’s what we call the courage to thrive. As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals—no matter what they need.

• Product Strategy &
  
  Roadmap:
  
  Support feature-level roadmaps aligned to the Operations Enablement product vision, business priorities, and regulatory obligations; identify opportunities for automation, AI/ML, and workflow orchestration to reduce manual effort, cycle times, and error rates; apply OKRs, outcome-based metrics, and value frameworks to guide prioritization and measure impact.
• Product Discovery & Lifecycle Management:
  Support end-to-end product lifecycle from discovery, ideation, and experimentation through delivery, launch, and optimization for assigned features; partner with Agile delivery teams to define clear product requirements, user stories, acceptance criteria, and success metrics; validate solutions through customer and employee feedback, data analysis, and experimentation.
• Automation, AI & Intelligent Operations:
  Collaborate with Engineering and Data teams to deliver intelligent automation (RPA, workflow automation, event‑driven processing), AI/ML-enabled capabilities (e.g., decisioning, classification, routing, recommendations), and self‑service and assistive tools for servicing teams.
• Operational Efficiency & Risk Reduction:
  Identify operational pain points and facilitate design of scalable solutions that improve efficiency, quality, compliance, and resiliency; drive standardization and reuse through platform capabilities, APIs, and shared services; support change management and adoption across Operations teams.
• Cross‑Functional
  
  Collaboration:
  
  Serve as the primary product interface for assigned features between Operations, Technology, Data, Risk, Compliance, and Customer Experience; translate business and regulatory needs into actionable product feature strategies and delivery plans; influence without authority across multiple teams and senior stakeholders.
• Performance, Analytics & Insights:
  Understand and monitor KPIs tied to operational outcomes such as cost‑to‑serve, cycle time reduction, automation rates, customer satisfaction, risk and error reduction; use data and insights to continuously refine features, workflows, and AI models.

• 3+ years of Product Management experience, preferably in financial services, fintech, operations, or platform products.
• Strong understanding of operational processes, risk management, and regulatory constraints.
• Experience working in Agile product teams using tools such as JIRA, Confluence, or similar.
• Ability to work independently with directional guidance and manage multiple priorities.
• Excellent communication, storytelling, and stakeholder management skills.
• Familiarity with Salesforce, servicing platforms, or enterprise workflow management systems.
• High level knowledge of or experience with AI/ML-enabled products, intelligent automation (RPA), or workflow platforms.
• Bachelor’s degree in Business, Finance, Technology, Operations, or a related field.
• Exposure to model risk management, data governance, or responsible AI practices.

• Demonstrated experience delivering automation and/or data-driven products in a complex enterprise environment.
• Familiarity with Salesforce, servicing platforms, or enterprise case management systems.
• Experience partnering with Data Science, Engineering, or Platform teams.

• Customer‑ and employee‑centric mindset with a passion for operational excellence.
• Strong analytical and systems‑thinking capabilities.
• Comfort navigating ambiguity and complex regulatory environments.
• Ability to influence outcomes across matrixed teams.
• Bias toward experimentation, learning, and continuous improvement.
• Understanding of modern product management practices, including…