
location_on342, West 30th Street, Chelsea District, Manhattan Community Board 4, Manhattan, New York County, New York, 10001, United States
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits, and cities grow by delivering solutions to solve all their financial needs.
Within the Consumer and Community Banking Core Platform Engineering team, we are driving the future of financial technology. This group focuses on building scalable, secure, and innovative platforms that power the firm's operations and customer experiences.
As a Senior Manager of Software Engineering, you will serve in a leadership role by providing technical coaching and advisory for multiple technical teams. You will be instrumental in moving financial technologies forward, specifically by providing overall direction for a team of mid-level software engineers delivering AI-enabled capabilities across the ProductGPT ecosystem. This role spans basic to moderately complex tasks, evolving toward more advanced agentic and workflow-based solutions.
You will lead with a hands-on mindset, staying close to design and implementation to unblock delivery and drive engineering excellence. Your insights will influence budget and technical considerations to advance operational efficiencies and functionalities. In this fast-moving AI domain, you will be accountable for decisions that impact teams' resources, budget, and tactical operations, while establishing and iterating on AI development strategies including LLM integration and safe deployment practices.
Day-to-day, you will ensure successful collaboration across teams and stakeholders in multiple locations, partnering closely with product teams to align on outcomes and milestones. You will manage and prioritize multiple concurrent requests, balancing near-term delivery with platform health and long-term technical direction. A key part of your mission is to create a culture of diversity, opportunity, inclusion, and respect, prioritizing diverse representation within the team.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy, or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
Work model: On-site
342, West 30th Street, Chelsea District, Manhattan Community Board 4, Manhattan, New York County, New York, 10001, United States
New York, New York
Experience working at code level, including contributing to production-grade services, debugging complex issues, and setting engineering standards through exemplars. Experience building AI-assisted and AI-native software systems, including LLM integration patterns, tool/skill design, retrieval/context enrichment, and agentic workflow orchestration. Experience operating distributed systems in AWS (e.g., compute, storage, messaging, observability), with a track record of reliability and cost-aware scaling. Experience balancing delivery across multiple concurrent initiatives while managing dependencies across teams and stakeholder groups. Experience with cloud-native DevOps practices, including CI/CD pipelines, infrastructure as code (e.g., Terraform, CloudFormation), and automated testing in distributed environments.
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