Manager, Product Management - Customer Assist Observability

Capital OneMcLean, VA
$149,800 - $205,100

About The Position

Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry. About the Role Step into the cutting-edge world of Autonomous AI as the Product Manager for ATLAS (Alerting, Traceability, Logging, Automated controls, & System observability) you will spearhead our strategy for system safety, automated controls, and robust observability. In this transformational role, you will partner cross-functionally to build scalable, technology-driven architectures that deploy real-time alerts, ensure compliance, and drastically reduce incident recovery times. By applying human-centered design and integrated problem-solving, you will translate complex whitespace challenges into an iterative, game-changing roadmap that empowers our internal stakeholders. Ultimately, your business-focused vision and deep-dive analytics will mitigate risks, uncover hidden opportunities, and drive the strategic investments needed to win in the AI space. Capital One Product Framework In this role, you’ll be expected to demonstrate proficiency in five key areas which we consider to be the foundation for successful Product management: Technology Driven - Leverages technology to deliver innovative and resilient solutions that enable both near term and long term value Integrated Problem Solving - Identifies and resolves complex problems to deliver outcomes while mitigating product risks Transformational Leadership - Leads cross functional teams to solve customer problems and drive organizational alignment Business Focused - Delivers game-changing outcomes by focusing on leverage and execution excellence Human Centered - Obsesses about internal and external customer needs to reimagine and innovate product solutions

Requirements

  • At least 3 years of experience working in Product Management
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration

Nice To Haves

  • Hands-on experience or strong familiarity with industry-standard observability tools (e.g., Datadog, Splunk, New Relic, Grafana), OpenTelemetry (OTEL) standards, and Site Reliability Engineering (SRE) concepts like SLIs, SLOs, and MTTR.
  • Proficiency in translating complex, fragmented system logs into actionable insights using data visualization tools, structured querying (e.g., SQL), and prescriptive analytics.

Responsibilities

  • Spearhead our strategy for system safety, automated controls, and robust observability.
  • Partner cross-functionally to build scalable, technology-driven architectures that deploy real-time alerts, ensure compliance, and drastically reduce incident recovery times.
  • Translate complex whitespace challenges into an iterative, game-changing roadmap that empowers our internal stakeholders.
  • Mitigate risks, uncover hidden opportunities, and drive the strategic investments needed to win in the AI space.

Benefits

  • performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.
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