
10,000+ employees
🏦 Banking
💳 Fintech
💸 Finance
💰 Post-IPO Equity on 2023-05
Banking • Fintech • Finance
Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.
🔥 14 hours ago
🗽 New York, Virginia – Remote
💵 $182.5k - $208.3k / year
⏰ Full Time
🟠 Senior
✅ Product Manager
🦅 H1B Visa Sponsor
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10,000+ employees
🏦 Banking
💳 Fintech
💸 Finance
💰 Post-IPO Equity on 2023-05
Banking • Fintech • Finance
Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.
• Own Shopping’s agentic analytics platform • Partner with platform engineers to build and operate AI products used across Shopping • Understand enterprise data requirements and ensure compliance with enterprise patterns • Define the data, definitions, and context required for trusted systems • Set and validate boundaries for what AI agents can and cannot do • Understand user and stakeholder needs and incorporate them into prioritization and trade-off decisions • Make successive deployments cheaper and faster • Build and maintain relationships with platform stakeholders and leaders • Define, socialize, and monitor key performance indicators for project evolution and success • Demonstrate Capital One’s Product Framework: human-centered, business-focused, technology-driven, integrated problem solving, and transformational leadership
• At least 4 years of experience in Product Management, Solutions or Deployment Engineering, Technical Consulting, or Data Analytics • Bachelor's or Master's degree in a quantitative field, Business, or Marketing; alternatively, Bachelor's degree in any field with at least 4 years of relevant experience • Deep experience with enterprise data definition and governance, including semantic and metrics layers, data catalogs, ontologies, warehouses, and BI • Familiarity with modern data stack tools including dbt, LookML, Snowflake, Databricks, Palantir Foundry, Looker, and Mode • Familiarity with AI agents working across structured data, including text-to-SQL, tool use, evaluations, and system failure modes • Experience adjudicating metric disputes and enforcing decisions • Experience building prototypes directly with AI tools • Comfort with backend and internal platform products serving diverse business and technical teams • Ability to create product vision and present to senior executives • Ability to work with minimal direction • Deep experience handling large data files using SQL, Python, and/or R • Preferred: 7+ years of relevant experience, including ownership of an internal platform or production deployment • Preferred: 4+ years working directly in data with deep SQL proficiency • Preferred experience with metrics governance and semantic/metrics layers or ontologies • Capital One will not sponsor a new applicant for employment authorization for this position
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Reasonable accommodations for applicants who require them
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