The Business Director will develop and execute business and product strategies to grow Capital One Shopping, manage analysts and cross-functional programs, lead pricing/marketing/product analytics and credit risk modeling, and drive partnerships with merchant and internal stakeholders. Requires demonstrated analytic experience (at least 4 years), people and project management experience, and interest or practical use of AI.

Responsible for developing business and product strategies, leading analytic and credit-risk modeling, overseeing product-level modeling/analytics and marketing, managing projects and teams, and partnering across IT, Sales, Operations and Finance. Remote-eligible; salary ranges provided by location; visa sponsorship may be considered.

Manager-level role responsible for developing product and pricing strategies, leading direct-to-consumer marketing efforts, building credit risk models, and managing delivery of business requirements. Role involves mentoring 1–2 analysts, cross-functional partnership (IT, Sales, Operations, Finance), and a strong quantitative/analytic orientation. Remote-eligible; visa sponsorship may be considered.

Lead product efforts for an agentic analytics platform used across Capital One Shopping. Responsibilities include partnering with platform engineers, defining trust and boundary requirements for AI agents, ensuring compliance with enterprise data patterns, driving faster deployments, and defining/monitoring KPIs. Requires experience with enterprise data, modern data stack tools (dbt, LookML, Snowflake, Databricks, etc.), SQL/Python/R, and at least 4 years in product management or related roles. Visa sponsorship is not available.

Role owns strategy and development of consumer reward and onboarding experiences to drive adoption and retention. Requires experience with product growth, SQL-based analysis, A/B testing, cross-functional collaboration with engineering, and demonstrated interest or applied use of AI. Position is remote-eligible and Capital One will not sponsor new employment authorization for this role.

Capital One seeks a Director of Referral & Lifecycle Marketing to lead end-to-end strategy for user engagement and lifetime value, own P&L and analytics for product-led growth, recruit and lead a growth team, and collaborate across Product, IT, Finance and other partners. Role requires strong quantitative and qualitative analysis, people and project management; remote-eligible with location-specific salary ranges provided.

Lead product and engineering efforts to onboard and activate merchant relationships across Capital One Shopping’s experiences. Requires strong data, SQL, and financial modeling skills, demonstrated product leadership (minimum 7 years PM experience), experience working with engineering teams, and familiarity/applicability of AI to product development. Position is US-based (remote-eligible) and Capital One will not sponsor employment authorization for this role.

Client-facing technical lead responsible for guiding issuers, acquirers, processors and gateways through implementation and certification of payment products (EMV, tokenization, 3DS, contactless) across LATAM. Requires experience with L3 certification, ISO 8583, technical troubleshooting, and stakeholder management. Role is remote-eligible; no visa sponsorship offered.

Lead multiple software and data engineering teams to build internal data platform capabilities, define roadmaps, monitor KPIs, and partner with analysts, data scientists, designers and stakeholders. Requires at least 4 years of product management experience, proficiency with SQL (and experience using Python/R for large data), strong communication and leadership, and demonstrated interest or experience using AI in projects.

Lead multiple software and data engineering teams to design and deliver data platform features, define product vision and roadmap, set and monitor KPIs, and partner with analysts, data scientists, designers, and stakeholders. Requires minimum 5 years of product management experience and strong skills in SQL, data analysis, and practical AI usage.

Seeking a Product Manager with a passion for emerging technologies and AI to lead software and data engineering teams, define product vision and roadmap, and own day-to-day product operations. Requires strong data skills (SQL; Python or R preferred), experience translating analysis into consumer-facing products, KPI ownership, stakeholder collaboration, and a minimum of 3 years relevant experience or a quantitative degree.