Fiserv

AI Product Manager

Fiserv

full-time

Posted on:

Location Type: Hybrid

Location: Berkeley Heights • New Jersey • New York • United States

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Salary

💰 $100,000 - $165,600 per year

About the role

  • Identify and prioritize opportunities to integrate AI capabilities into customer-facing products that drive business value
  • Define product requirements for AI-powered features, balancing user experience, technical feasibility, and compliance requirements
  • Partner with engineering to evaluate and select AI/LLM providers and approaches for product features
  • Design human-in-the-loop experiences and appropriate guardrails for AI-powered product features
  • Measure and iterate on AI feature performance, balancing accuracy, latency, cost, and user satisfaction
  • Use AI tools for rapid prototyping—quickly generating mockups, proof-of-concepts, and interactive demos to validate ideas
  • Leverage AI to synthesize user research, analyze customer feedback at scale, and identify patterns in usage data
  • Create high-quality product documentation, PRDs, and specifications using AI-assisted writing tools
  • Accelerate competitive analysis and market research using AI to process large volumes of information
  • Champion AI-powered product development practices across the product organization

Requirements

  • 5+ years of product management experience, preferably in fintech or financial services
  • Demonstrated experience shipping AI-powered product features or products
  • Hands-on experience using AI tools for product work (prototyping, documentation, research synthesis)
  • Strong technical acumen with ability to understand LLM capabilities, limitations, and tradeoffs
  • Experience with data-driven product development and experimentation frameworks
  • Excellent communication skills with ability to translate between technical and business stakeholders
  • Understanding of responsible AI principles and ability to navigate ethical considerations
  • Proven track record of driving large-scale adoption of new tools or practices
  • Technical background (engineering or data science experience) is nice to have
  • Experience with no-code/low-code AI tools and prototyping platforms is nice to have
  • Familiarity with fintech compliance requirements (especially for AI in regulated contexts) is nice to have
  • Experience with prompt engineering or fine-tuning language models is nice to have
  • Background in user research or design thinking methodologies is nice to have
Benefits
  • Annual incentive opportunity which may be delivered as a cash bonus and equity awards
  • Health insurance
  • Equal Opportunity Employer policies
  • Disability accommodation
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI capabilitiesAI-powered featuresLLM capabilitiesdata-driven product developmentexperiment frameworksprompt engineeringfine-tuning language modelsno-code AI toolslow-code AI toolsuser research
Soft Skills
communication skillstechnical acumenability to translate between technical and business stakeholdersunderstanding of responsible AI principlesnavigating ethical considerationsdriving large-scale adoptioncollaborationprioritizationproblem-solvingiteration