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Software Engineering Project Manager Jobs in Woonsocket, RI

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 ...

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Mechanical Project Engineer

Coventry, RI · On-site

$70K - $110K/yr

Engineering Project Manager (Position) PFS is seeking a highly motivated, organized individual to ... We employ the latest software and hardware for various design programs and continually pursue ...

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Mechanical Project Engineer

Cranston, RI · On-site

$70K - $110K/yr

Engineering Project Manager (Position) PFS is seeking a highly motivated, organized individual to ... We employ the latest software and hardware for various design programs and continually pursue ...

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Mechanical Project Engineer

Cranston, RI · On-site

$70K - $110K/yr

Engineering Project Manager (Position) PFS is seeking a highly motivated, organized individual to ... We employ the latest software and hardware for various design programs and continually pursue ...

Urgent

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Software Engineering Project Manager information

See Woonsocket, RI salary details

$86.7K

$131.7K

$215.1K

How much do software engineering project manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for software engineering project manager in Woonsocket, RI is $131,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $144,700.00 per year, depending on experience, location, and employer.

What does a software engineering project manager do?

A Software Engineering Project Manager oversees the planning, execution, and delivery of software development projects. They coordinate teams of software engineers, set project timelines, manage budgets, and ensure that project goals align with business objectives. Their responsibilities also include risk management, stakeholder communication, and quality assurance. By facilitating collaboration between technical and non-technical team members, they help ensure software projects are completed on time and within scope.

What are the key skills and qualifications needed to thrive as a software engineering project manager?

To thrive as a Software Engineering Project Manager, you need a solid background in software development principles, project management methodologies, and often a relevant degree or PMP certification. Familiarity with tools like Jira, Trello, Git, and Agile or Scrum frameworks is typically required. Exceptional communication, leadership, and problem-solving skills set standout candidates apart by enabling effective team collaboration and conflict resolution. These skills ensure projects are delivered on time, within budget, and meet technical and business objectives.

How does a software engineering project manager typically collaborate with development teams and stakeholders?

A Software Engineering Project Manager serves as a bridge between technical teams and business stakeholders, ensuring that project goals align with organizational objectives. They facilitate regular communication through meetings, status updates, and documentation to keep everyone informed and address any issues promptly. By working closely with developers, QA testers, UX designers, and product owners, they help prioritize tasks, resolve bottlenecks, and manage expectations. This collaborative approach helps maintain project momentum and ensures successful delivery within scope, time, and budget constraints.

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

AspectSoftware Engineering Project ManagerSoftware Developer
CredentialsBachelor's in CS or related, PMP or similar certifications often preferredBachelor's in CS, Software Engineering, or related; certifications are optional
Work EnvironmentCollaborates with teams, manages projects, coordinates timelinesFocuses on coding, designing, testing software
Employer & Industry UsageUsed in tech companies, software firms, IT departmentsUsed across tech, startups, enterprise software companies
Search & Comparison IntentUnderstanding project management roles in software teamsLearning about software development roles and skills

The Software Engineering Project Manager oversees software projects, coordinating teams and timelines, while the Software Developer focuses on coding and building software solutions. Both roles are essential in tech companies but differ in responsibilities and skill sets.

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

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

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

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

Software Engineering Project Manager jobs near you

Senior Software Engineering Manager, AI Software Engineering Enablement

FM

Johnston, RI • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

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 influence and collaboration

  • Strong executive communication and storytelling

  • Governance, risk management, and compliance mindset

  • Ability to balance innovation with engineering rigor and operational discipline

  • Strong stakeholder management across technical and business functions

  • Systems thinking and enterprise-wide perspective

  • Ability to drive adoption and organizational change at scale

  • Ability to develop strong engineering leaders and multidisciplinary technical teams

Success Measures
  • Measurable adoption of approved AI-enabled software engineering and delivery capabilities across engineering teams.

  • Successful enterprise rollout and adoption of GitHub Enterprise capabilities.

  • Enterprise standards becoming consumable by developers, AI assistants, agents, and delivery pipelines.

  • Increased automation of software engineering, testing, governance, compliance validation, and audit evidence generation.

  • Improved software quality, maintainability, security posture, operational readiness, release readiness, and traceability.

  • Reduction in manual compliance and governance activities through reusable platform and shared service capabilities.

  • Increased developer productivity through approved skills, engineering standards, development kits, shared services, and AI-enabled delivery capabilities.

  • Establishment of a sustainable enterprise operating model for governed AI-enabled software delivery.

  • Demonstrated business value and measurable return on AI software delivery investments.

  • Increased visibility into engineering quality, compliance, security, productivity, technical health, and software delivery performance across the technology organization.

The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.
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

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