ZipRecruiter

Log In

1

Software Engineering Manager Jobs in Cumberland, RI

Whoop

Software Engineering Manager (AI Quality)

Boston, MA · On-site

$150K - $215K/yr

QUALIFICATIONS: * 5+ years of experience in software engineering, with significant experience building and measuring the quality of AI/ML products. * Proven experience managing third-party vendor ...

Nova Biomedical

Software Engineer Manager

Norwood, MA · On-site

Partner with Systems Engineering, Electrical Engineering, Software Quality Assurance, Quality ... Support the management and coordination of Software Engineering and Software Quality Assurance ...

Nova Biomedical

Software Engineer Manager

Norwood, MA · On-site

Partner with Systems Engineering, Electrical Engineering, Software Quality Assurance, Quality ... Support the management and coordination of Software Engineering and Software Quality Assurance ...

Citizens

Mgr Software Engineering

Johnston, RI · On-site

$180K - $231K/yr

Role Summary The Manager of Software Engineering leads a team of engineers to deliver high-quality, scalable, and reliable software aligned to business and customer outcomes. This role combines ...

Citizens

Mgr Software Engineering

Westwood, MA · On-site

$180K - $231K/yr

Role Summary The Manager of Software Engineering leads a team of engineers to deliver high-quality, scalable, and reliable software aligned to business and customer outcomes. This role combines ...

Citizens

Mgr Software Engineering

Johnston, RI · On-site

$180K - $231K/yr

Role Summary The Manager of Software Engineering leads a team of engineers to deliver high-quality, scalable, and reliable software aligned to business and customer outcomes. This role combines ...

Citizens

Mgr Software Engineering

Johnston, RI · On-site

$180K - $231K/yr

Role Summary The Manager of Software Engineering leads a team of engineers to deliver high-quality, scalable, and reliable software aligned to business and customer outcomes. This role combines ...

Citizens

Mgr Software Engineering

Westwood, MA · On-site

$180K - $231K/yr

Role Summary The Manager of Software Engineering leads a team of engineers to deliver high-quality, scalable, and reliable software aligned to business and customer outcomes. This role combines ...

Compass

Engineering Manager

Boston, MA · On-site

$194K - $215K/yr

Directly manage, mentor, and grow a hybrid team of full-time software engineers and contractors. Provide clear performance standards, support technical skill development, and guide career growth.

Compass

Engineering Manager

Boston, MA · On-site

$194K - $215K/yr

Directly manage, mentor, and grow a hybrid team of full-time software engineers and contractors. Provide clear performance standards, support technical skill development, and guide career growth.

Zelis

Manager, Software Engineering

Boston, MA · On-site

Position Overview The Manager, Software Engineering leads the engineering team behind the Cost Engine. A core API and backend service that standardizes and serves healthcare procedure cost ...

previous pagenext page

Showing results 21-40

All JobsSoftware Engineering JobsSoftware Engineering Manager JobsSoftware Engineering Manager Jobs in Cumberland, RI

Software Engineering Manager information

See Cumberland, RI salary details

$88.7K

$151K

$178.7K

How much do software engineering manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for software engineering manager in Cumberland, RI is $150,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $154,200.00 and $154,200.00 per year, depending on experience, location, and employer.

What does a software engineering manager do?

A software engineering manager oversees a team of people who are working on the development of new computer software or the enhancement of existing computer programs. Because this is a management job, your duties may include coordinating and planning with other departments within the company and with company executives. In addition to management skills, you need a firm understanding of the technical aspects of software engineering. Another aspect of this career involves understanding the market and competitor’s products so that your software can compete and meet market demands.

What does a software engineering manager do?

A Software Engineering Manager oversees a team of software engineers, guiding the development of software projects from planning to implementation. They are responsible for managing the team's workflow, ensuring high-quality code, and meeting project deadlines. In addition to technical leadership, they also handle hiring, mentoring, and performance reviews. Their role bridges the gap between technical execution and business objectives, ensuring that software solutions align with strategic goals.

What are the key skills and qualifications needed to thrive as a software engineering manager, and why are they important?

To thrive as a Software Engineering Manager, you need a solid background in software development, team leadership, and project management, often backed by a degree in computer science or a related field. Familiarity with development tools, agile methodologies, version control systems, and, in some cases, certifications like PMP or Scrum Master are valuable. Exceptional communication, problem-solving, and mentoring skills distinguish top performers in this role. These competencies are crucial for successfully guiding technical teams, delivering projects efficiently, and fostering a collaborative and innovative engineering culture.

What are some common challenges faced by software engineering managers when leading diverse development teams?

Software Engineering Managers often encounter challenges such as balancing technical leadership with people management, aligning team members with different backgrounds and skill sets, and ensuring effective communication across remote or cross-functional teams. Navigating these challenges involves fostering an inclusive environment, setting clear expectations, and adapting management styles to individual team members’ needs. Successful managers also prioritize regular check-ins and feedback to keep projects on track and support professional growth within the team.

What is the difference between Software Engineering Manager vs Software Developer?

AspectSoftware Engineering ManagerSoftware Developer
CredentialsBachelor's or Master's in CS or related field, often with leadership experienceBachelor's or higher in CS or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersFocuses on coding, debugging, and implementing features
Employer & Industry UsageUsed across tech companies, startups, and large enterprisesCommon in all software development settings
Search & Comparison IntentUnderstanding managerial roles, leadership responsibilitiesFocus on technical skills, coding tasks

The main difference between a Software Engineering Manager and a Software Developer lies in their roles and responsibilities. Managers oversee teams, coordinate projects, and handle strategic planning, while developers focus on coding and technical implementation. Both roles are essential in the software development lifecycle, but they serve different functions within an organization.

More about Software Engineering Manager jobs

What job categories do people searching Software Engineering Manager jobs in Cumberland, RI look for?

The top searched job categories for Software Engineering Manager jobs in Cumberland, RI are:

What cities near Cumberland, RI are hiring for Software Engineering Manager jobs?

Cities near Cumberland, RI with the most Software Engineering Manager job openings:

Software Engineering Manager jobs near you
Infographic showing various Software Engineering Manager job openings in Cumberland, RI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $150,958 per year, or $72.6 per hour.

Senior Software Engineering Manager, AI Software Engineering Enablement

FM

Johnston, RI • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Description:

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world’s largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection.

The Senior Manager, AI Software Engineering Enablement will lead FM’s transition to a governed, AI-enabled software delivery operating model. 

This leader is responsible for defining, building, and scaling the enterprise capabilities that enable AI-assisted, traceable, secure, and compliant software delivery. The role oversees the adoption of modern engineering platforms, Enterprise Standards as Code, software development skills, shared services, governance automation, traceability services, release readiness, and AI-enabled development capabilities. 

This leader must bring deep software engineering experience and extensive knowledge of modern engineering best practices, including software architecture, secure development, quality engineering, automated testing, code quality, maintainability, observability, delivery automation, and lifecycle governance. The leader will ensure that AI-enabled development strengthens, rather than bypasses, the engineering disciplines required to build reliable, secure, maintainable, and scalable software. 

Working across Engineering, Architecture, Security, Audit, Compliance, and Platform Engineering, this leader will establish the frameworks, platforms, shared services, and governance capabilities that allow software teams to deliver consistently by leveraging AI while maintaining enterprise standards and regulatory expectations. 

This is a manager-of-managers role with responsibility for teams focused on developer enablement, AI SDLC capabilities, shared services, engineering governance services, enterprise development standards, and AI software delivery platforms. The scope of impact spans software engineering efforts across FM, driving the adoption and evolution of AI-enabled software delivery capabilities throughout the enterprise. 

The role is approximately 70% technical leadership and strategy and 30% organizational leadership, adoption, and stakeholder engagement. 

Technical Leadership 

  • Own the execution and refinement of FM’s AI Software Delivery roadmap and target operating model. 

  • Establish and promote modern software engineering capabilities and best practices across FM, including:  

  • Software architecture and design 

  • Secure software development 

  • Code quality and maintainability 

  • Quality engineering and automated testing 

  • Observability and operational readiness 

  • CI/CD and delivery automation 

  • Developer productivity and experience 

  • Software lifecycle governance 

  • Establish enterprise AI software delivery capabilities, including:  

  • AI-Driven development 

  • Enterprise Standards as Code 

  • Development Skills 

  • Traceability Services 

  • Governance Services 

  • Release Readiness Services 

  • Enterprise Agent Platform capabilities 

  • Cost Management and FinOps 

  • AIDevOps capabilities, including AI integration within engineering pipelines, testing, deployment, and operational workflows 

  • Ensure AI-enabled development enhances engineering rigor, quality, security, and maintainability rather than bypassing established software engineering disciplines. 

  • Drive enterprise adoption of platform and emerging AI-enabled software engineering capabilities. 

  • Define the strategy, lifecycle, and governance model for reusable software development skills, agents, standards, shared services, and delivery accelerators. 

  • Establish metrics and measurement frameworks that quantify the value created by the AI SDLC, including productivity, quality, risk reduction, and return on investment for AI tooling and services. 

  • Establish architecture and operating models for enterprise agent execution, enterprise prompt and skills management, governance automation, and AI-enabled delivery workflows. 

  • Partner with Security, Architecture, Audit, Compliance, and Platform Engineering to embed governance directly into software delivery processes. 

  • Understand the value chain of applying generative AI to software development, including model selection, cost optimization, local versus cloud deployment strategies, toolchain orchestration, and performance management. 

  • Guide the evolution and effectiveness of the AI SDLC across diverse technology stacks, including cloud-native, commercial off-the-shelf, and legacy application environments. 

Product Ownership 

  • Drive the roadmap for enterprise AI software delivery and shared service capabilities. 

  • Prioritize investments across engineering standards, governance, traceability, developer experience, agent platforms, shared services, and enablement capabilities. 

  • Evaluate emerging technologies and determine their alignment with FM’s strategic software delivery direction. 

  • Ensure internally developed capabilities remain aligned with evolving enterprise platforms, software engineering best practices, and FM technology standards. 

  • Partner with software engineering leadership to drive adoption of new AI SDLC capabilities and operating model enhancements. 

  • Serve as the strategic owner for enterprise AI software engineering enablement capabilities, balancing innovation, engineering quality, governance, adoption, value realization, and long-term sustainability. 

Qualifications:

  • 15+ years of experience in software engineering, software architecture, software delivery, platform engineering, DevOps, cloud engineering, developer experience, or related technical leadership disciplines. 

  • Deep software engineering experience designing, building, testing, deploying, and operating enterprise software solutions. 

  • 5+ years leading managers, senior engineers, architects, or technical leaders within enterprise technology organizations. 

  • Demonstrated expertise in modern software engineering practices, including architecture, code quality, testing strategies, code review, secure software development, maintainability, observability, delivery automation, and engineering governance. 

  • Proven experience leading enterprise-scale engineering transformation, software delivery modernization, platform adoption, or developer productivity initiatives. 

  • Experience working across Engineering, Architecture, Security, Compliance, Audit, Platform Engineering, and Technology Leadership organizations. 

  • Experience defining enterprise engineering standards, governance frameworks, operating models, and cross-functional adoption strategies. 

  • Experience building or managing engineering platforms, shared services, developer ecosystems, or software delivery enablement programs. 

  • Experience managing technology investments, business value realization, vendor capabilities, and technical roadmap prioritization. 

  • Experience presenting strategy, roadmap progress, business value, and adoption metrics to senior leadership and executive stakeholders. 

Technical Skills 

  • Modern software architecture, design patterns, development frameworks, and application lifecycle management. 

  • Software development best practices, including clean code, code review, maintainability, technical debt management, refactoring, and reusable design. 

  • Quality engineering practices, including test strategy, automated testing, continuous testing, performance testing, and quality automation. 

  • Secure software development, threat-informed engineering, vulnerability management, and security controls throughout the development lifecycle. 

  • Developer Experience practices, including specification-driven development, harness engineering, reusable development assets, and engineering enablement. 

  • AI agent frameworks, orchestration platforms, and multi-agent software engineering workflows. 

  • Policy-as-Code, Governance-as-Code, Standards-as-Code, and compliance automation. 

  • Platform engineering, shared services, and developer self-service architectures. 

  • Traceability, audit evidence, release readiness, and software delivery governance capabilities. 

  • Software engineering metrics, engineering intelligence, and value measurement frameworks. 

  • Enterprise architecture patterns and technology governance. 

  • Cloud platforms, distributed systems, APIs, integration patterns, and modern software delivery architectures. 

  • CI/CD, DevSecOps, release management, observability, and production readiness. 

  • FinOps principles and technology cost management practices related to cloud and AI services. 

Preferred Experience 

  • Building enterprise developer platforms, shared engineering services, or internal engineering platforms. 

  • Leading GitHub Enterprise or large-scale engineering platform transformations. 

  • Deploying AI agents, Copilot extensions, enterprise skills, MCP-based integrations, or agent execution platforms. 

  • Establishing Standards-as-Code, Governance-as-Code, or Policy-as-Code capabilities. 

  • Building traceability, audit, compliance, release governance, or evidence collection solutions. 

  • Leading enterprise transformation initiatives involving AI-assisted software engineering. 

  • Building, deploying, and operating software products in cloud-native environments. 

  • Modernizing legacy applications and introducing contemporary engineering practices across diverse technology stacks. 

  • Operating within highly regulated environments requiring governance, auditability, security, and compliance oversight. 

  • Defining AI engineering operating models, AI governance capabilities, or AI-enabled software delivery frameworks. 

Leadership Competencies 

  • Deep software engineering judgment and credibility 

  • Strategic technology leadership 

  • Manager-of-managers leadership experience 

  • Enterprise transformation leadership 

  • Cross-functional

FM logo

About FM

Sourced by ZipRecruiter

Industry

Plastics product manufacturing

Company size

51 - 200 Employees

Headquarters location

Rogers, AR, US

Year founded

1980

Social media

Facebook

View All FM Jobs

Apply