Senior Product Manager – Conversational AI Servicing Quality Assurance

Capital One • McLean, VA

5d • $182,500 - $249,900

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 works at the cutting edge of generative AI servicing, scaling automated validation and unstructured analytics across customer interactions.

The Senior Product Manager owns platform integration and roadmap execution to onboard conversational AI solutions onto the quality platform. The role establishes automated assessment parameters, Human-in-the-Loop workflows, and closed-loop feedback systems for continuous self-correction. It also designs scalable QA and analytics infrastructure to keep pace with expanding coverage while maintaining accurate and consistent quality checks and interaction insights across complex customer intents.

The position guides foundational analytics capabilities, including transcript-level LLM intelligence, natural-language querying, UI 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 backlogs with executive priorities; optimizes delivery across engineering and data science; and cultivates product excellence.

Successful candidates have shipped complex data platforms or cloud-scale conversational applications, understand LLM evaluation pipelines, and have team management experience. They are strategic systems thinkers who can coordinate platform analytics and core quality workflows, manage technical dependencies, and lead high-velocity cross-functional teams. Capital One expects proficiency in its product framework: human-centered, business-focused, technology-driven, integrated problem solving, and transformational leadership.

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 expected on or before the scheduled start date; alternatively, has 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 orchestrate alignment across 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 and infrastructure that scale QA and analytics as platform coverage expands, maintaining accurate and consistent 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 to solve customer problems and drive organizational alignment.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being; eligibility varies by full- or part-time status, exempt or non-exempt status, and management level.
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior