Senior Product Manager

Visa Visa · Fintech · Austin, TX

Senior Product Manager for Visa's AI/ML Platforms team, responsible for the roadmap and delivery of core AI/ML platform services, including model training, experimentation, and inference. The role involves migrating these workloads to a cloud-native foundation and ensuring readiness for Generative AI. Requires strong collaboration with engineering, data science, security, risk, legal, and compliance teams, with a focus on technical depth in cloud-native architecture, inference, and platform reliability within a regulated financial services environment.

What you'd actually do

  1. Drive conceptualization, prototyping, and launch of AI-powered solutions at the intersection of payments and technology
  2. Build business cases for new AI/ML capabilities and continuously evolve platform features to meet practioner needs
  3. Partner with business units, product, and Eng teams to ensure alignment and flawless execution
  4. Monitor market trends, competitive dynamics, and clients' needs to guide platform evolution and long-term planning.
  5. Define detailed platform requirements, acceptance criteria, and success metrics (e.g., SLAs, operational KPIs).

Skills

Required

  • Product Management
  • AI/ML Platforms
  • Cloud-native architecture
  • Inference at scale
  • Kubernetes
  • Platform reliability
  • Agile delivery
  • Scalability
  • Cost optimization
  • Governance
  • Regulatory compliance
  • Data privacy
  • Technical design
  • Requirements definition
  • Cross-functional collaboration

Nice to have

  • Generative AI tools (e.g. ChatGPT, Claude Code, Co-pilot)

What the JD emphasized

  • own the roadmap and delivery of our core AI/ML platform services
  • migrating these workloads to a modern, cloud-native foundation
  • own the delivery, reliability, performance, and cost-efficiency of the AI/ML platform services
  • partnering closely with engineering and architecture to modernize how the platform scales
  • platform's readiness for emerging Generative AI workloads
  • deep technical fluency
  • disciplined product execution
  • own the discovery, definition, and delivery of platform capabilities end to end
  • Hands-on expertise in designing cloud-native AIML solutions and enterprise-scale applications on the cloud
  • Ensure platform capabilities meet compliance, model risk management, and onboarding requirements.

Other signals

  • AI/ML Platforms team builds the next-generation, scalable, and responsible AI/ML infrastructure and services
  • own the roadmap and delivery of our core AI/ML platform services
  • migrating these workloads to a modern, cloud-native foundation
  • own the delivery, reliability, performance, and cost-efficiency of the AI/ML platform services — model training and experimentation environments, inference, and the data and tooling pipelines