Senior Manager, Product Management, AI Agents

Fiserv•Sunnyvale, CA

1d•$134,000 - $218,400•Onsite

About The Position

Lead the definition, development, and launch of first-party and partner-supported AI agents for regulated financial-services workflows on agentOS. This role combines deep domain expertise, product design, applied AI, and hands-on execution from discovery through adoption. General AI familiarity is not enough. The candidate can personally turn a difficult banking, payments, cards, merchant, fraud, dispute, servicing, or operations workflow into a narrative, prototype, product definition, golden set, and production-ready experience.

Requirements

7+ years of product management, solution design, enterprise software, fintech, AI product, or financial-services technology experience.
Deep operating or product expertise in at least one domain such as banking core, cards, payments, merchant acceptance, fraud, disputes, servicing, or financial operations.
Demonstrated ability to translate real workflows, decisions, exceptions, controls, and data into agent requirements, experiences, and outcomes.
Practical AI fluency across LLMs, AI agents, prompt and context design, prototyping, evaluation, and human-approved action workflows.
Demonstrated use of AI-assisted tools to independently create executive-ready decks, product narratives, workflow models, wireframes, and functional prototypes.
Strong technical fluency across APIs, integrations, data flows, cloud platforms, governance, security, auditability, and production readiness.

Nice To Haves

Experience launching AI agents, workflow automation, conversational AI, or enterprise AI applications into production.
Experience with AWS Bedrock, leading model providers, LangGraph, LangChain, MCP, or similar ecosystems.
Experience working directly with financial institutions, financial-technology partners, or regulated operations teams.
Experience defining golden sets, evaluation criteria, or production-readiness standards for AI-enabled products.

Responsibilities

Identify and prioritize high-value agent use cases through client, user, operations, and subject-matter-expert discovery.
Translate complex workflows into agent behavior, journeys, roles, data and integration needs, business rules, decisions, exceptions, handoffs, and measurable outcomes.
Define where deterministic logic, model reasoning, tool use, human judgment, and system-of-record actions should be used.
Create product narratives, workflows, wireframes, prototypes, requirements, acceptance criteria, and release plans.
Specify source-of-truth hierarchy, context, tool permissions, evidence, confidence handling, explanations, ambiguity resolution, and safe fallback behavior.
Create domain-specific golden cases, including expected outcomes, edge cases, unacceptable behaviors, safety checks, and production-readiness thresholds.
Partner with Engineering and platform teams on orchestration, data access, integrations, evaluations, monitoring, controls, and release readiness.
Lead client validation, launch, adoption, measurement, and continuous improvement based on business outcomes, feedback, and production evidence.