Software Engineering Manager Jobs in Jersey City, NJ
Software Engineering Manager jobs in Jersey City are concentrated in the Journal Square, Newport, and Hudson Exchange districts, with demand driven by fintech, financial services, and enterprise technology firms. Employers hiring right now include JPMorganChase, MUFG, and LTM Limited. Scan the live roles below and apply to whichever ones fit.
Find JobsOverview
Showing 5 of 54+ Software Engineering Manager jobs
Build what powers better decisions at scale. In this role, you'll lead multiple engineering teams delivering modern data engineering and business intelligence capabilities that enable critical finance outcomes. You'll create an environment where engineers do their best work—shipping reliably, raising quality, and learning continuously. You'll also help scale responsible, enterprise-authorized AI-assisted engineering practices to unlock productivity while protecting security and data sensitivity. If you enjoy combining people leadership with technical depth and measurable impact, this is your opportunity.
Job Summary:
As a Senior Software Engineering Manager in the Corporate Technology, Asset & Wealth Management Finance team, you will lead multiple engineering teams delivering data engineering and business intelligence solutions that support finance stakeholders. You will set clear technical direction, operating practices, and delivery expectations across teams, balancing speed with quality and operational excellence. You will partner closely with business and technology leaders to prioritize outcomes and align roadmaps. You will build an inclusive culture focused on ownership, continuous improvement, and responsible use of enterprise-authorized AI capabilities.
Job Responsibilities
- Lead multiple teams delivering data engineering platforms and analytics solutions aligned to finance priorities
- Define and execute the data engineering roadmap, including scalable pipeline design and modernization
- Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability
- Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption
- Establish engineering standards for code quality, testing, documentation, and production readiness
- Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability
- Develop talent through coaching, feedback, hiring, and succession planning across teams
- Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data
- 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
Required Qualifications, Capabilities, and Skills
- Demonstrated people leadership experience managing multiple engineering teams and leaders
- Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design
- Hands-on experience building or supporting PySpark-based solutions in production environments
- Experience delivering business intelligence solutions using business intelligence tools
- Strong ability to translate business outcomes into actionable engineering roadmaps and delivery plans
- Strong understanding of software engineering fundamentals, including code quality, testing, and production support
- Effective stakeholder management skills, including influencing across technology and business partners
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred Qualifications, Capabilities, and Skills
- Experience delivering data and analytics solutions in a finance-aligned domain
- Experience building reusable data products and enabling self-service analytics at scale
- Experience leading large-scale modernization initiatives across teams
- Familiarity with establishing metrics for engineering throughput, quality, and reliability across organizations
- Experience partnering with geographically distributed teams and stakeholders
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Build what powers better decisions at scale. In this role, you'll lead multiple engineering teams delivering modern data engineering and business intelligence capabilities that enable critical finance outcomes. You'll create an environment where engineers do their best work—shipping reliably, raising quality, and learning continuously. You'll also help scale responsible, enterprise-authorized AI-assisted engineering practices to unlock productivity while protecting security and data sensitivity. If you enjoy combining people leadership with technical depth and measurable impact, this is your opportunity.
Job Summary:
As a Senior Software Engineering Manager in the Corporate Technology, Asset & Wealth Management Finance team, you will lead multiple engineering teams delivering data engineering and business intelligence solutions that support finance stakeholders. You will set clear technical direction, operating practices, and delivery expectations across teams, balancing speed with quality and operational excellence. You will partner closely with business and technology leaders to prioritize outcomes and align roadmaps. You will build an inclusive culture focused on ownership, continuous improvement, and responsible use of enterprise-authorized AI capabilities.
Job Responsibilities
- Lead multiple teams delivering data engineering platforms and analytics solutions aligned to finance priorities
- Define and execute the data engineering roadmap, including scalable pipeline design and modernization
- Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability
- Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption
- Establish engineering standards for code quality, testing, documentation, and production readiness
- Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability
- Develop talent through coaching, feedback, hiring, and succession planning across teams
- Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data
- 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
Required Qualifications, Capabilities, and Skills
- Demonstrated people leadership experience managing multiple engineering teams and leaders
- Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design
- Hands-on experience building or supporting PySpark-based solutions in production environments
- Experience delivering business intelligence solutions using business intelligence tools
- Strong ability to translate business outcomes into actionable engineering roadmaps and delivery plans
- Strong understanding of software engineering fundamentals, including code quality, testing, and production support
- Effective stakeholder management skills, including influencing across technology and business partners
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
Preferred Qualifications, Capabilities, and Skills
- Experience delivering data and analytics solutions in a finance-aligned domain
- Experience building reusable data products and enabling self-service analytics at scale
- Experience leading large-scale modernization initiatives across teams
- Familiarity with establishing metrics for engineering throughput, quality, and reliability across organizations
- Experience partnering with geographically distributed teams and stakeholders
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
See All 54 Software Engineering Manager Jobs in Jersey City
Find roles in Jersey City that match your experience and apply in just a few clicks.
Find JobsSoftware Engineering Manager Job Market in Jersey City
Who's Hiring
- JPMorganChase32
- MUFG7
- LTM Limited5
- BNY2
- Verisk2
Top Industries Hiring
- Fintech
- Banking & Financial Services
- Investment & Asset Management
Software Engineering Manager Jobs in Jersey City: Frequently Asked Questions
How do I get a software engineering manager job in Jersey City?
Focus your search on Jersey City's fintech corridor along the Hudson waterfront and the enterprise technology firms clustered around Journal Square and Newport. Employers here value candidates who have led distributed engineering teams and shipped products in regulated or high-volume environments. Experience with agile delivery at scale and a demonstrated history of cross-functional collaboration with product and design teams gives candidates a clear edge in this market.
Which companies hire software engineering managers in Jersey City?
Employers hiring software engineering managers in Jersey City right now include JPMorganChase, MUFG, and LTM Limited, based on current listings on Migrate Mate as of November 2026. Jersey City's hiring base skews toward large financial institutions, global technology consultancies, and well-funded fintech companies that maintain significant engineering headcount on the west bank of the Hudson.
Are there remote software engineering manager jobs in Jersey City?
Yes, though software engineering manager roles are often partially on-site given the team leadership and cross-functional coordination they require. About 64% of software engineering manager openings tied to Jersey City are remote or hybrid as of November 2026, with hybrid schedules being far more common than fully remote. Planning, one-on-ones, and cross-team syncs are the functions most frequently handled off-site among Jersey City employers.
How can I get a software engineering manager job in Jersey City with little or no experience?
The most realistic entry path in Jersey City is moving up from a senior software engineer role within one of the city's larger fintech or financial services firms, which frequently promote technical leads into management when headcount grows. Targeting associate engineering manager or technical lead openings at Jersey City's mid-size technology companies gives you the quickest lateral move. Building credibility through mentoring junior engineers and owning delivery milestones on your current team strengthens your case considerably.
Which industries hire the most software engineering managers in Jersey City?
Most software engineering manager openings in Jersey City sit in Fintech, Banking & Financial Services, and Investment & Asset Management, per current listings on Migrate Mate as of November 2026. Jersey City's proximity to Wall Street and its established financial services corridor make those sectors the dominant employers of engineering leadership talent in the city.
Related Jobs in New Jersey
See All 54 Software Engineering Manager Jobs in Jersey City
Find roles in Jersey City that match your experience and apply in just a few clicks.
Find Jobs