About The Position

Capital One is seeking a tech-forward Senior Manager to direct the strategy for evaluating conversational AI solutions and lead the Analytics Pillar team. The role supports the scaling of automated validation and unstructured analytics across customer interactions as conversational AI servicing expands. The Senior Product Manager will own platform integration and roadmap execution for onboarding conversational AI solutions onto the quality platform. They will develop automated assessment parameters, Human-in-the-Loop workflows, and closed-loop feedback systems that support continuous self-correction. The role also involves scaling quality assurance and analytics infrastructure so quality checks and interaction insights remain accurate, consistent, and scalable across complex customer intents. The position guides foundational analytics capabilities, including transcript-level LLM intelligence, natural-language querying, user-interface enhancements, AI workflow integrations, and full-file automated monitoring for high-priority regulatory, business, and behavioral use cases. The role directs, mentors, and empowers product and analytics associates, aligns team backlogs with executive priorities, optimizes delivery across engineering and data science, and cultivates product excellence. Successful product leaders in this role demonstrate human-centered thinking, business focus, technology-driven innovation, integrated problem solving, and transformational leadership. The role is eligible for performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

Requirements

  • Currently has, or is in the process of obtaining, a bachelor's or master's degree in a quantitative field, business, or marketing, with the degree obtained on or before the scheduled start date; alternatively, a bachelor's degree in any field and at least 4 years of Product Management experience.
  • Experience shipping complex data platforms or cloud-scale conversational applications.
  • Deep knowledge of LLM evaluation pipelines.
  • Proven team management experience.
  • Ability to align platform analytics and core quality workflows, manage technical dependencies, and lead high-velocity cross-functional teams.

Nice To Haves

  • Experience translating business strategy and analysis into consumer-facing digital products.

Responsibilities

  • Own platform integration and roadmap execution to onboard conversational AI solutions onto the quality platform.
  • Establish automated assessment parameters, Human-in-the-Loop workflows, and closed-loop feedback systems for continuous self-correction.
  • Design systems that allow the platform to scale with rapid coverage expansion while maintaining accurate, consistent, scalable quality checks and interaction insights across complex customer intents.
  • Guide foundational analytics capabilities, including transcript-level LLM intelligence, natural-language querying, UI enhancements, and AI workflow integrations.
  • Expand full-file automated monitoring across high-priority regulatory, business, and behavioral use cases.
  • Direct, mentor, and empower product and analytics associates.
  • Align team backlogs with executive priorities and optimize delivery velocity across engineering and data science.
  • Cultivate product excellence and lead cross-functional teams toward customer and organizational outcomes.

Benefits

  • Comprehensive, competitive health, financial, and other benefits supporting total well-being.
  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
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