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Devops Project Manager Jobs in Edison, NJ (NOW HIRING)

Technical Project Manager Job Location: Berkeley Heights, NJ, Omaha, NE, or Frisco, TX (100% Onsite ... Use Azure DevOps and agile methodology for oversight of all projects in the program. Skills and ...

Proficiency with Agile Management and Project Tracking tools (e.g., Jira, Azure DevOps, ServiceNow). Experience with release planning, production support processes, and integrated risk management ...

Project Operations Manager

New York, NY ยท On-site

$145K - $190K/yr

At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with ... Project Operations Manager As a Project Operations Manager, based in Chicago, Illinois or New York ...

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Devops Project Manager information

See Edison, NJ salary details

$13

$51

$104

How much do devops project manager jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for devops project manager in Edison, NJ is $51.72, according to ZipRecruiter salary data. Most workers in this role earn between $34.86 and $74.66 per hour, depending on experience, location, and employer.

How does a DevOps Project Manager typically collaborate with development and operations teams to ensure smooth project delivery?

A DevOps Project Manager acts as a critical bridge between development and operations teams, facilitating communication and ensuring alignment on project objectives and timelines. They often coordinate regular stand-ups, manage task tracking tools, and help resolve bottlenecks by aligning resources and priorities. By fostering a culture of collaboration, the DevOps Project Manager ensures seamless integration of code, efficient deployment processes, and rapid response to issues, ultimately supporting continuous delivery and improvement. This role requires proactive relationship-building and an understanding of both technical and business needs.

What is a DevOps Project Manager?

A DevOps Project Manager is a professional who oversees software development projects that use DevOps practices, which integrate development and operations teams to improve collaboration, automation, and delivery speed. They are responsible for project planning, coordinating cross-functional teams, managing timelines, and ensuring that DevOps tools and methodologies are effectively implemented. Their role bridges the gap between technical and business stakeholders, ensuring projects meet quality standards and business objectives.

Can a DevOps engineer become a project manager?

A DevOps engineer can transition to a project manager role by developing skills in project planning, leadership, and communication, often supported by certifications like PMP or Scrum. Their technical background can be an asset in managing IT or software development projects, but they may need to gain experience in management methodologies and stakeholder coordination.

How much do DevOps managers make?

DevOps project managers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in automation tools and cloud platforms can earn higher salaries. Certifications like AWS or Kubernetes can also influence compensation.

What is the difference between Devops Project Manager vs Software Engineer?

AspectDevops Project ManagerSoftware Engineer
Required CredentialsProject management certifications, knowledge of DevOps toolsComputer science degree, programming skills
Work EnvironmentCross-functional teams, project planningDevelopment teams, coding environments
Employer & Industry UsageIT companies, tech firms, organizations adopting DevOpsSoftware development companies, tech startups
Common Search & ComparisonYesNo

The Devops Project Manager focuses on coordinating DevOps initiatives, managing projects, and ensuring smooth collaboration between development and operations teams. In contrast, a Software Engineer primarily writes code, develops software solutions, and maintains applications. While both roles are integral to tech organizations, they differ in responsibilities, skill sets, and daily tasks.

What are the key skills and qualifications needed to thrive as a DevOps Project Manager, and why are they important?

To thrive as a DevOps Project Manager, you need a strong background in software development, IT operations, and project management, often supported by a degree in computer science or a related field. Familiarity with CI/CD tools (e.g., Jenkins, GitLab), cloud platforms (e.g., AWS, Azure), and certifications like PMP or AWS Certified DevOps Engineer are highly valuable. Excellent leadership, communication, and problem-solving skills distinguish those who can effectively coordinate cross-functional teams and drive process improvements. These skills ensure seamless integration of development and operations, timely delivery of high-quality projects, and alignment with business goals.

Can I make 100k as a project manager?

A DevOps Project Manager can earn $100,000 or more annually, depending on experience, certifications, location, and company size. Senior roles with specialized skills in cloud platforms, automation tools, and Agile methodologies are more likely to reach or exceed this salary level.

What does a DevOps project manager do?

A DevOps project manager oversees the planning, coordination, and execution of DevOps initiatives, ensuring collaboration between development and operations teams. They manage project timelines, allocate resources, and facilitate the adoption of tools like CI/CD pipelines and automation to improve software delivery and reliability.
What are popular job titles related to Devops Project Manager jobs in Edison, NJ? For Devops Project Manager jobs in Edison, NJ, the most frequently searched job titles are:
What cities near Edison, NJ are hiring for Devops Project Manager jobs? Cities near Edison, NJ with the most Devops Project Manager job openings:
Infographic showing various Devops Project Manager job openings in Edison, NJ as of June 2026, with employment types broken down into 95% Full Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $107,570 per year, or $51.7 per hour.
Project Manager - Product Operations

Project Manager - Product Operations

Allvue Systems

Manhattan, NY โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

About Allvue

We areย Allvueย Systems,ย the leading provider of software solutions for the Private Capital and Credit markets. Whether a client wants an end-to-end technology suite, or independently focused modules,ย Allvueย helps eliminate the boundaries between systems, information, and people. Weโ€™re looking for ambitious, smart, and creative individuals to join our team and help our clients achieve their goals.ย ย ย Working atย Allvue Systems means working with pioneers in the fintech industry. Our efforts are powered by innovative thinking and a desire to build adaptable financial software solutions that help our clients achieve even more. With our common goals of growth and innovation, whether youโ€™re collaborating on a cutting-edge project or connecting over shared interests at an office happy hour, the passion is contagious. We wantย all ofย our team members to be open, accessible, curious and always learning. As a team, we take initiative, own outcomes, and have passion for what we do. With these pillars at the center of what we do, we strive for continuous improvement, excellent partnership and exceptional results. Come be a part of the team thatโ€™s revolutionizing the alternative investment industry.ย Define your own future withย Allvueย Systems!ย 


Job Summary

The Product Operations Project Manager is a change agent who supports transformation on how the product organization operates through AI-driven automation and process innovation. This role drives measurable improvements in delivery velocity and operational efficiency by identifying manual inefficiencies, implementing AI solutions, and embedding new ways of working across product, engineering, and go-to-market teams.

By leveraging AI tools for automation, predictive analytics, and workflow optimization, this role multiplies team effectiveness and works towards scalable operating models that sustain high-velocity execution. The role collaborates closely with product leadership and operational partners to drive execution and continuous improvement, with the adoption of AI-enhanced processes that become the new standard.

ย 


Responsibilities

AI-Driven Transformation

  • Deploy AI and automation tools to eliminate manual overhead in project tracking, reporting, and workflows across discovery, development, and GTM
  • Identify organizational friction points and deploy AI/automation to eliminate waste and accelerate delivery
  • Build AI-powered workflows to accelerate handoffs between teams and create real-time dashboards for decision-making
  • Continuously evaluate and pilot emerging AI tools that could transform team productivity
  • Automate recurring reporting and workflow activities to free capacity for high-value work
  • Champion experimentation culture and serve as change agent for AI adoption across the organization

ย 

Project Delivery & Execution

  • Lead the planning and execution of cross-functional product initiatives from discovery through delivery and go-to-market readiness.
  • Develop and maintain project plans with milestones, deliverables, timelines, and dependencies
  • Build stakeholder engagement plans and drive adoption of new processes, tools, and ways of working
  • Identify risks, manage dependencies, and drive alignment on prioritization through transparent communication
  • Ensure deliverables meet agreed timelines and quality standards

Cross-Functional Coordination

  • Coordinate workstreams across product management, engineering, design, sales, marketing, and customer success teams.
  • Facilitate regular project meetings to review progress, resolve blockers, and maintain alignment across stakeholders.
  • Ensure stakeholders have visibility into timelines, deliverables, and key project milestones.
  • Support collaboration between teams to maintain smooth handoffs through

    The Product Operations Project Manager is a change agent who supports transformation on how the product organization operates through AI-driven automation and process innovation. This role drives measurable improvements in delivery velocity and operational efficiency by identifying manual inefficiencies, implementing AI solutions, and embedding new ways of working across product, engineering, and go-to-market teams.

    By leveraging AI tools for automation, predictive analytics, and workflow optimization, this role multiplies team effectiveness and works towards scalable operating models that sustain high-velocity execution. The role collaborates closely with product leadership and operational partners to drive execution and continuous improvement, with the adoption of AI-enhanced processes that become the new standard.

    out the product lifecycle.

ย 

Process Optimization & Operating Model Evolution

  • Support the Head of Product Strategy & Operations to evolve the target operating model from discovery through GTM
  • Design and document end-to-end workflows spanning product discovery, development, release management, and GTM readiness
  • Identify bottlenecks through process mining and implement continuous improvement solutions
  • Build repeatable playbooks for launches, beta programs, and feature rollouts
  • Create templates and procedures that reduce manual effort and improve consistency

ย 

Stakeholder Communication

  • Translate product strategy into executable roadmaps with clear milestones
  • Present status, risks, and recommendations to senior leadership with data-driven insights
  • Facilitate workshops to align teams on objectives and drive consensus
  • Communicate risks, dependencies, and change initiatives transparently

Requirements

Experience

  • 4โ€“6 years of experience in project management, product operations, or program coordination roles within SaaS, fintech, or enterprise software organizations.
  • Experience coordinating cross-functional initiatives involving product, engineering, and go-to-market teams.
  • Hands-on experience implementing AI/ML tools for automation or predictive analytics
  • Strong understanding of agile methodologies with ability to recommend and drive process improvements
  • Experience coordinating cross-functional initiatives and managing project timelines in fast-paced environments

ย 

Core Competencies

  • Project Execution: Ability to manage multiple initiatives simultaneously while maintaining organization, structure, and clear communication.
  • AI & Automation Fluency: Good understanding of AI capabilities for operational use cases, hands-on experience implementing AI tools, ability to evaluate emerging technologies
  • Execution Bias: Move from strategy to action quickly, deliver results under ambiguity, bias toward proving value then scaling
  • Systems Thinking: Connect dots across functions, anticipate downstream impacts, design solutions addressing root causes
  • Stakeholder Influence: Build credibility without formal authority, persuade through data and demonstrated results
  • Adaptability: Thrive in evolving environments, adjust based on feedback, make progress without perfect information
  • Communication: Synthesize complex information into actionable insights, tailor style to audience

ย 

Preferred Qualifications

  • Experience working in fintech, financial services, or regulated technology environments.
  • Familiarity with product management and delivery frameworks such as Agile, Scrum, or Kanban.
  • Experience supporting process improvement or operational efficiency initiatives.
  • Exposure to product launch coordination or go-to-market readiness processes.

ย 

REQUIRED / PREFERRED TOOLS & TECHNOLOGIES

ย 

Technical Skills

  • Experience with project management and collaboration tools such as Jira, Asana, Monday.com, Miro, or Confluence.
  • AI & Automation Tools: Hands-on experience with generative AI (ChatGPT, Claude, Copilot), automation platforms (Zapier, Make), AI-powered analytics/predictive tools
  • Familiarity with reporting or analytics tools used for project tracking and operational visibility.
  • Understanding of the software development lifecycle and modern engineering practices (CI/CD, DevOps).
  • Strong data analysis skills with the ability to build dashboards and extract insights from complex datasets.

Education/Certifications
  • Bachelors degree in related discipline

What We Offer
  • Health Coverage optionsย along with other voluntary benefitsย 
  • Enterpriseย Udemy membership with access toย thousandsย of personal and professional development coursesย 
  • 401Kย with Company match up to 4%ย or Employee Pension planย ย 
  • Competitive pay and year-end bonus potentialย ย 
  • Flexible PTOย ย 
  • Charitable Donation matching, along with Volunteer and Voting PTOย ย 
  • Numerousย teamย building activities to promote collaborationย in a fun and fast-paced workย environmentย 

EEOC Statement

Allvueย Systems provides equal employment opportunities (EEO) for all employees and applicants for employment. We recognize the real value of bringing people together from diverse backgrounds, experiences and perspectives - we donโ€™t just accept difference, we celebrate and support it. We are committed to advancing these efforts through our strategies to hire, promote, create and support a diverse and inclusive environment throughout our workforce and workplace. It is our policy to prohibit discrimination and harassment of any type without regard to race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. In addition,ย ย Allvueย will provide reasonable accommodations for qualified individuals with disabilities.ย 

Qualifications:

Experience

  • 4โ€“6 years of experience in project management, product operations, or program coordination roles within SaaS, fintech, or enterprise software organizations.
  • Experience coordinating cross-functional initiatives involving product, engineering, and go-to-market teams.
  • Hands-on experience implementing AI/ML tools for automation or predictive analytics
  • Strong understanding of agile methodologies with ability to recommend and drive process improvements
  • Experience coordinating cross-functional initiatives and managing project timelines in fast-paced environments

ย 

Core Competencies

  • Project Execution: Ability to manage multiple initiatives simultaneously while maintaining organization, structure, and clear communication.
  • AI & Automation Fluency: Good understanding of AI capabilities for operational use cases, hands-on experience implementing AI tools, ability to evaluate emerging technologies
  • Execution Bias: Move from strategy to action quickly, deliver results under ambiguity, bias toward proving value then scaling
  • Systems Thinking: Connect dots across functions, anticipate downstream impacts, design solutions addressing root causes
  • Stakeholder Influence: Build credibility without formal authority, persuade through data and demonstrated results
  • Adaptability: Thrive in evolving environments, adjust based on feedback, make progress without perfect information
  • Communication: Synthesize complex information into actionable insights, tailor style to audience

ย 

Preferred Qualifications

  • Experience working in fintech, financial services, or regulated technology environments.
  • Familiarity with product management and delivery frameworks such as Agile, Scrum, or Kanban.
  • Experience supporting process improvement or operational efficiency initiatives.
  • Exposure to product launch coordination or go-to-market readiness processes.

ย 

REQUIRED / PREFERRED TOOLS & TECHNOLOGIES

ย 

Technical Skills

  • Experience with project management and collaboration tools such as Jira, Asana, Monday.com, Miro, or Confluence.
  • AI & Automation Tools: Hands-on experience with generative AI (ChatGPT, Claude, Copilot), automation platforms (Zapier, Make), AI-powered analytics/predictive tools
  • Familiarity with reporting or analytics tools used for project tracking and operational visibility.
  • Understanding of the software development lifecycle and modern engineering practices (CI/CD, DevOps).
  • Strong data analysis skills with the ability to build dashboards and extract insights from complex datasets.
Education:UNAVAILABLEEmployment Type: FULL_TIME