Senior Software Engineering Manager — AI‑Driven Delivery Leader

Emploive

New York, Northern (NY, KY)

Hybrid

USD 180,000 - 240,000

Full time

4 days ago
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Job summary

JPMorganChase in New York seeks a Manager of Software Engineering to lead multiple teams within Card Technology. You will translate ambiguous problems into practical architectures, validate designs with hands-on prototypes, and guide delivery control plane initiatives across environments, pipelines, and release controls.

You will also drive enterprise AI-assisted development, define ways of working, mentor engineers, and ensure compliance, security, and high-quality delivery.

Qualifications

  • Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience
  • Experience leading technology projects and managing technologists
  • Experience leading responsible adoption of enterprise-authorized AI‑assisted development and delivery tools across engineering teams, including defining ways of working, measuring outcomes, and ensuring secure handling of data.
  • Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance expectations; ability to coach engineers on compliant and effective usage.
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Demonstrated breadth across the technology landscape, with the ability to assess an unfamiliar design, codebase, or production issue quickly and identify what actually matters.
  • Experience with code review and validation — able to read, critique, and correct both human and AI‑generated code, and to build working prototypes.
  • Proven stakeholder engagement and relationship‑building skills, with a track record of influencing peer leaders and driving alignment without direct authority.
  • Advanced proficiency with modern AI‑assisted development — practical experience with agents, MCP, skills, prompting, RAG, and memory — applied to real engineering and governance work.

Responsibilities

  • Provides guidance to immediate team of software engineers on daily tasks and activities, influence engineers, architects, peer leaders, and control partners across teams to align on practical, adoptable platform designs.
  • Sets the overall guidance and expectations for team output, practices, and collaboration
  • Leads team adoption of enterprise-authorized AI‑assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI‑assisted development and automation capabilities, to improve the value realized by automation and support capacity unlock initiatives.
  • Anticipates dependencies with other teams to deliver products and applications in line with business requirements
  • Manages stakeholder relationships and the team’s work in accordance with compliance standards, service level agreements, and business requirements
  • Remain hands‑on at a senior engineering level by reviewing code, interpreting unfamiliar systems, validating AI‑generated output, and building MVPs to de‑risk major technical directions.

Skills

Leadership
AI-assisted Dev
SDLC knowledge
CI/CD
Architectural design
Stakeholder mgmt
Code review
Agile

Education

Software engineering certification

Job description

JPMorganChase in New York seeks a Manager of Software Engineering to lead multiple teams within Card Technology. You will translate ambiguous problems into practical architectures, validate designs with hands-on prototypes, and guide delivery control plane initiatives across environments, pipelines, and release controls.

You will also drive enterprise AI-assisted development, define ways of working, mentor engineers, and ensure compliance, security, and high-quality delivery.

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