Senior Manager of Software Engineering - ML / Agentic Treasury

JPMorgan Chase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase in Jersey City seeks a Senior Manager of Software Engineering to lead a team across multiple technical domains within the Commercial & Investment Bank - Payments group. You will guide agile teams to design, build, and secure market-leading technology products that scale and remain reliable.

The role emphasizes applying AI-assisted development tools, ensuring secure delivery, and collaborating with stakeholders while shaping budget, practices, and technical direction for optimal

Qualifications

• Formal training or certification on software engineering concepts with 5+ years of applied experience.
• 2+ years of experience leading technologists to manage and solve complex technical items.
• Experience with Java, Python, and SQL in a large corporate environment.
• Experience with PostgreSQL.
• Experience with AWS.
• Familiarity with enterprise-authorized AI-assisted development tools and safe usage practices.

Responsibilities

• Provide direction and coaching for a team of engineers on tasks of varying complexity.
• Influence resource planning, budget, and execution of processes and procedures.
• Set operating practices for AI-assisted engineering and SDLC automation across teams; define measurable goals.
• Promote reuse of firm technology assets and ensure secure, reliable delivery.
• Foster collaboration across teams and stakeholders to deliver outcomes.
• Identify risks and escalate issues to keep the book of work on track and efficient.

Skills

Java

Python

SQL

CI/CD

AWS

Tools

Databricks

Scikit-Learn

PyTorch

Pandas

Job description

When you mentor and advise multiple technical teams and move financial technologies forward, it's a big challenge with big impact. You were made for this.

As a Senior Manager of Software Engineering at JPMorgan Chase within the Commercial & Investment Bank - Payments (Data Analytics & Regulatory Compliance) Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities

• Provide overall direction, oversight, and coaching for a team of entry-level to mid-level software engineers that work on basic to moderately complex tasks
• Accountable for decisions that influence teams' resources, budget, tactical operations, and the execution and implementation of processes and procedures
• Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Ensures successful collaboration across teams and stakeholders
• Identifies and mitigates issues to execute a book of work while escalating issues as necessary
• Provides input to leadership regarding budget, approach, and technical considerations to improve operational efficiencies and functionality for the team

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience . In addition, 2 + years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with Java and Python programming languages and database querying languages (SQL)
• Experience with PostgreSQL
• Experience with AWS
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Preferred knowledge with Databricks
• Preferred knowledge with ML Frameworks including Scikit-Learn, PyTorch, Pandas