Overview
At Advantive, we don’t just make software—we build careers and power the manufacturing and distribution backbone of the global economy. We are growing fast, investing in AI, and building a culture where motivated, curious people rise quickly.
We’re looking for a talented Software Development Manager to lead a team responsible for developing, supporting, and maintaining our market-leading suite of purpose-built software for specialty 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 busywork 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.
- Management and execution against project plans and delivery commitments.
- Evolution of the 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 to management, customer support, and product teams via rigorous execution of detailed plans and accurate reporting of test cases executed, bugs discovered, bugs fixed, etc.
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.
Required
Qualifications and Experience
- Bachelor’s degree in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience.
- 5+ years of experience in software development, including at least 2 years leading or managing software development teams in an Agile/SCRUM environment.
- Strong experience with modern software development practices, including SDLC best practices, CI/CD, version control platforms such as Azure DevOps, GitHub, GitLab, or Bitbucket, and automated testing frameworks such as MSTest, JUnit, or NUnit.
- Strong technical background in C#, Java, or a related object-oriented programming language, with demonstrated technical judgment and a continuous improvement mindset.
- Professional experience using AI coding assistants and automation to accelerate delivery, including prompt-driven development, AI-assisted code review, test generation, and documentation, with the ability to apply and enforce responsible AI usage standards related to data handling, security, privacy, intellectual property, and validation of AI-generated outputs.
Preferred
- Master’s degree in Computer Science, Computer Engineering, or a related technical discipline.
- SCRUM Master certification.
- Experience leading similar projects, with preference for ERP application development experience.
- Demonstrated success improving developer experience, automating repetitive work, and reclaiming engineering capacity.
- Desktop application development experience.
