Software manager Jobs in USA

Overview

We’re looking for a talented Software Development Manager to lead a team responsible for developing, supporting, and maintaining our market-leading suite of PLM / MES software for manufacturers and distributors. The chosen candidate must be a self-starter, possess great organizational skills, and have excellent communication abilities. A proven results-oriented person with a delivery focus and demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment.

We enjoy our work as much as we enjoy working together and want Developers who can get things done while positively influencing our workplace environment. The successful candidate must have a passion for software development, deeply care about code quality, and be committed to software craftsmanship.

At Advantive, AI-enabled ways of working are the standard. This leader will champion AI-augmented development and intelligent automation to accelerate delivery, reclaim time from manual busywork, and raise the quality bar.

Responsibilities

• Work closely with the Product teams to develop the best technical design and approach for product development.
• Translate complex functional and technical requirements into detailed project plans and schedules; manage the day-to-day activities of the development team by defining, implementing, and maintaining a coherent, progressive development strategy for the product line.
• Management of departmental resources, staffing, and enhancing and maintaining a best-of-class development team.
• Lead an AI-first engineering culture: every developer is an AI developer - prompting, refining, reviewing, and debugging AI outputs as part of daily work.
• Continuously identify and eliminate manual busy work through automation; if it can be automated, it will be.
• Drive adoption of approved AI tools across the SDLC (planning, coding, testing, documentation, triage, and release), with clear guardrails for security, privacy, and quality.
• Continuously reimagining workflows by asking: "What would this look like if AI did 80% of it?" and implement improvements.
• Measure outcomes not just by code written, but by value delivered, cycle time reduced, and time reclaimed through AI-enabled ways of working.
• Responsible for the over-all systems development life cycle within an Agile-SCRUM development process.
• Delivery of quality applications on-time and on-budget.
• Evolution of software development practice within the organization, including better reporting, tools, and evolution of development methodology.
• Continue to build an effective development organization by driving the recruiting and hiring of new developers, developing, and managing the group, and conducting performance reviews of team members.
• Create and execute appropriate quality plans, project plans, test strategies, and processes for development activities in concert with business and project management efforts.
• Develop and execute unit testing strategies and processes.
• Drive and manage the bug triage process, represent the development team in project meetings to ensure efficient testing and bug fixing process, and be an effective advocate for the development group.
• Report on product quality management, customer support, and product teams via rigorous execution of detailed plans and accurate reporting of test cases executed, bugs discovered, bugs fixed, etc.
• Define and drive integration strategies across PLM, MES, ERP, and external systems using API-first and event-driven architectures.

Competencies

To perform the job successfully, an individual should demonstrate the following competencies:

• Planning and Management – Highly effective planning and organizational skills.
• Discipline and Perseverance – Focus and commitment to solving complex issues through to completion.
• Flexibility and Hard Work – Operate in a fast-paced, iterative development environment; learn and adapt to new technologies.
• Problem-Solving – Strong critical thinking and problem-solving capabilities.
• Quality – Dedicated to producing high-quality software and implementing development best practices.
• AI-Enabled Delivery – Leverages AI responsibly to improve throughput, decision making, and software quality (e.g., code generation, test generation, analysis, documentation).
• Experimentation & Rapid Iteration – Iterates fast, fails forward, and shares what works so the team scales learning.
• Learning Mindset – Treats mastery of AI tools and techniques as a core competency, not an optional curiosity.
• Teamwork – Communicate effectively and operate in a team environment.
• Effective Communicator - Strong written and oral communication skills.
• Excellent time management skills - a proven ability to utilize your sense of urgency to prioritize tasks effectively.
• Systems Thinking – Designs solutions with awareness of upstream/downstream dependencies across enterprise systems and manufacturing environments.

• BS in Computer Science, Computer Engineering, or related technical discipline; Master’s Degree preferred.
• 5+ years’ experience in software development, at least two years as a Development Manager
• SCRUM Master Certified
• Experience leading software development teams using the SCRUM development framework.
• Strong domain experience in PLM, MES, or manufacturing, with an understanding of end-to-end processes such as production, quality, and supply chain integration
• Strong understanding of integrations with ERP/PLM systems (e.g., SAP, Oracle) and industrial systems (PLC, IoT).
• Strong technical vision and continuous improvement drive.
• Extensive experience with C#, Java or related Object-Oriented Programming language(s)
• Proven professional experience working in CI/CD environments.
• Extreme understanding of the Software Development Life Cycle’s best practices and processes
• Strong experience with modern application development workflows and version control systems like Azure DevOps, GitHub, GitLab, or Bitbucket.
• Professional experience using AI coding assistants and automation to accelerate delivery (e.g., prompt-driven development, AI-assisted code review, test generation, and documentation).
• Ability to define and enforce responsible AI usage standards (data handling, security, privacy, and IP) and to validate AI-generated outputs through rigorous review and testing.
• Demonstrated track record of reclaiming engineering time by automating repetitive work and improving the end-to-end developer experience.
• High proficiency in writing automated tests using a testing framework such as MSTest, Xunit, and NUnit.
• Demonstrated experience in modern web application development and hands-on leadership in defining, implementing, and evolving API-first architecture (REST/GraphQL, microservices, or similar patterns)