Director of Product Management managing Canadian Enterprise vendor portfolio and leading high - performing teams. Overseeing P&L responsibilities and building strategic partnerships with vendors.
About the role
- AI Product Manager at Fiserv integrating AI capabilities into customer-facing fintech products. Responsible for defining product requirements and driving AI-powered product development.
Responsibilities
- 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
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