Technical Product Manager - Platforms & Infrastructure
Listed on 2026-01-01
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IT/Tech
Cloud Computing, Systems Engineer
Job Description
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career.
Try new things, learn new skills and discover what you excel at—all from Day One.
U.S. Bank is the first major bank to embed a full‑featured Spend Management (SM) platform across its entire portfolio of business credit cards—delivering a fintech‑grade experience backed by the trust and scale of the fifth‑largest bank in the U.S.
Our SM platform empowers small and medium‑sized businesses with real‑time visibility, proactive controls, and seamless integrations. In one place, teams can capture receipts, set spend controls, manage cards, sync with accounting software, and generate robust reporting—helping them save time, improve cash‑flow visibility, and reduce financial risk.
If you’re passionate about helping businesses take control of their spend, we’d love to talk. Our teams are committed to building the best possible products and experiences, working side‑by‑side with customers and iterating quickly to deliver outcomes that matter. With over half a million businesses already enabled on SM, we’re scaling modern spend management at enterprise grade—within a trusted financial institution.
Key ResponsibilitiesOwn the platform vision and roadmap – Develop and maintain a clear platform vision and strategy to align the technical capabilities with the business and compensation goals.
Develop and drive the integrations – For APIs, integration layers, and infrastructure capabilities that enable product development teams to deliver at scale.
Partner with product engineering – Communicate and document technical requirements, architecture decisions, capacity planning, and modernization initiatives (e.g., cloud adoption, containerization, auto‑scale, serverless).
Lead strategic technical investments – Own driving cloud infrastructure migrations and upgrades which can help us scale for providing a highly available, resilient and reliable platform that meets the needs of the business and customers.
Establish KPIs for platform health – Serve as the primary point of contact for internal stakeholders and identify key performance metrics that can help improve uptime, latency, cost efficiency or revenue and drive continuous improvement through data‑driven decisions.
Enable developer experience by improving tooling, CI/CD pipelines, and documentation for internal consumers of platform services.
Lead cross‑functional readiness for major infrastructure changes; communicate impacts and mitigation plans to stakeholders.
Integrate analytics tracking capabilities across platform components to support product insights and business reporting (distinct from observability).
Partner on data strategy: ensure robust data pipelines, data warehouse integrations, and governance for platform services.
Drive collaboration and communication across engineering, product, and operations teams to align priorities and resolve blockers quickly.
Product Management experience
Preferred Skills/Experience5+ years in product management or technical program management with platforms or infrastructure focus.
Strong understanding of cloud architecture (AWS/Azure/GCP), APIs, and distributed systems.
Experience working with engineering teams on scalability, performance, and reliability initiatives.
Ability to translate technical concepts into business language for senior stakeholders.
Excellent collaboration and communication skills to influence cross‑functional teams and leadership.
Hands‑on experience with CI/CD pipelines, container orchestration (Kubernetes), and observability tools.
Familiarity with data warehouse technologies (e.g., Snowflake, Big Query) and analytics platforms.
Background in software engineering or computer science (degree or equivalent experience).
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