Sr. Manager AI & Software Engineering

Mini-Circuits designs manufactures and distributes integrated circuits modules and sub-systems for high performance radio frequency (RF) and microwave design sales and manufacturing locations in over 30 countries Mini-Circuits products are used in a range of wired and wireless communications applications. Our products are also used in detection measurement and imaging applications including military communication guidance and electronic countermeasure systems commercial scientific military land sea and aircraft; automotive systems medical systems and industrial test equipment.

Mini-Circuits sells its products to over 20000 customers globally through our direct sales force applications engineering staff sales representatives as well as through our extensive web site.

Position Summary:

The Sr. Manager AI & Software Engineering will lead the engineering delivery function for Mini-Circuits AI software engineering digital application and AI-enabled platform initiatives. This role is responsible for transforming AI and software efforts from project-by-project execution into a disciplined scalable production-ready engineering capability. The role will manage delivery across MC-CORE Ask MC PIM AI Project Everest AI enablement Project Atlas analytics/AI enablement internal software development application integrations and future AI product pods.

This position partners closely with IT Operations Business Applications Cybersecurity Enterprise Data Architecture PMO business stakeholders external vendors and internal software/AI engineering resources. The role is expected to establish delivery cadence backlog discipline engineering standards release readiness documentation expectations and production handoff discipline while ensuring that AI and software solutions remain aligned to Mini-Circuits business priorities security requirements data readiness standards and customer-focused operating model.

Salary range: $190000 - $235000

Job Function:

Lead AI and software engineering delivery across MC-CORE Ask MC PIM AI Project Everest AI enablement Project Atlas AI/analytics support internal digital applications integrations workflow automation and future AI product pods.

Own the AI/software engineering delivery operating system including backlog structure prioritization discipline sprint or delivery cadence release planning dependency management blocker escalation and delivery scorecards.

Translate AI and digital strategy into executable engineering roadmaps product backlogs release plans technical milestones and measurable business outcomes.

Coordinate AI platform resources AI product development resources global software developers consultants and vendor engineering contributors into a common engineering cadence with clear ownership and deliverables.

Partner with the VP AI & Digital Technologies to ensure engineering priorities align with business strategy operating model maturity governance requirements and investment decisions.

Partner with IT Operations to ensure production readiness environment readiness support handoff identity/access alignment operational documentation incident process and service transition before AI/software release.

Partner with Enterprise Data Architecture to ensure AI and software solutions consume approved data sources documented lineage defined data quality rules semantic definitions and AI-ready datasets.

Partner with Cybersecurity and Architecture/TDA stakeholders to ensure solutions meet architecture standards security controls access rules data classification requirements and production-risk expectations.

Establish and maintain engineering standards including coding practices documentation expectations code review discipline testing expectations DevOps/release controls technical decision logs issue escalation pathways and exception management.

Ensure MC-CORE evolves as a reusable enterprise AI platform supporting secure retrieval patterns APIs evaluation frameworks model gateway patterns logging monitoring and reusable integration approaches.

Ensure Ask MC and other AI products are developed with named business owners SME validators approved data sources release plans adoption metrics and support models.

Coordinate global AI/software engineering capacity including internal and distributed developers so work is assigned by product/pod priorities rather than informal task routing.

Maintain visibility into resource capacity skill gaps vendor dependency technical debt delivery risks support implications and future staffing needs.

Partner with PMO / Vendor Governance to manage delivery health RAID items vendor scorecards SOW acceptance criteria documentation deliverables knowledge-transfer evidence and executive reporting inputs.

Implement engineering quality controls to reduce rework improve release confidence and ensure that pilots prototypes and production capabilities follow appropriate quality and governance expectations.

Support 2027 planning by providing evidence-based recommendations for additional engineering platform MLOps data engineering QA PMO or product-pod capacity.

Supervisory Responsibilities

• Manages the Software Engineering and AI teams in day-to-day performance of their responsibilities.
• Ensures that projects department milestones and goals are met in accordance with the department and business strategies.
• Conducts performance reviews issues disciplinary action where required drives the development of software engineers hires new team members when applicable.
• Build a culture of accountability engineering rigor collaboration customer focus continuous improvement and measurable delivery outcomes.
• Provide management reporting on delivery progress release readiness blocker aging product adoption engineering quality capacity constraints vendor risks and value realization.

The duties responsibilities and expectations described above are not a comprehensive list and additional tasks may be assigned to the member within the scope of the position.

Qualifications:

• Bachelors Degree in Software Engineering Computer Science or related field of study required.
• Masters Degree preferred

• 7-10 years of progressive experience within enterprise business application design and systems development including system integrations with ERP systems preferably with SAP.

• 5 years of project management responsibility demonstrating leadership skills and possessing a track record of managing technical staff.
• 5 years of leading large-scale company-wide systems initiatives to successful execution.
• Possess a digital and innovative mindset / knowledge base / and experience that goes beyond simply awareness or managing; must have a deep technical understanding and track record of success in a modernization journey.
• Understands the companys business goals and objectives the business process and impact of individual actions on business performance. Applies cost-effectiveness competitiveness and profitability to business decisions and initiatives.
• Proven success working with multiple legacy and custom-built applications while leading company-wide transformation initiatives that result in reduced redundancy synergy across systems and enterprise applications and accessible/centralized data.
• Demonstrated ability building strong collegial relationships; builds trust through active listening and encouraging a collaborative and open exchange of ideas; reads situations and dynamics accurately and works to bring harmony and productive outcomes.
• Gains buy-in and commitment from leadership and staff. Demonstrates excellent negotiating skills and is able to balance conflicting interests and find win-win solutions to seemingly impossible solutions.
• Experience implementing AI initiatives as part of a comprehensive IT strategy
• Experience working in large complex dynamic organizations with multiple business groups and broad geographic reach and the ability and tolerance to work in an ambiguous environment.
• Experience in the hi-tech manufacturing industry preferred.
• The role requires exceptional communication skills with the ability to leverage internal and external networks in a fast pace growing organization

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job the employee is regularly required to talk and hear. The employee frequently is required to stand walk sit and use hands to operate a computer keyboard. The employee is occasionally required to reach with hands and arms. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision and ability to adjust focus. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Cultural Focus:

• Displays enthusiasm and Passion for their work
• Works to the standard of Uncompromising Quality by meeting or exceeding stated objectives and embracing continuous improvement
• Exercises sound Business Judgement ensuring that efforts are on track with the Companys goals
• Operates with the mindset of Customer Obsession by meeting or exceeding expectations to both internal and external customers
• Takes Accountability by taking ownership and accepting responsibility for their conduct and contributions
• Demonstrates a strong sense of urgency and accomplishes tasks with Speed and attention to detail
• Cooperates collaborates and contributes to shared goals with a strong sense of Teamwork
• Conducts themselves with Honesty & Integrity and treats all members with Trust & Respect

Additional Requirements/Skills:

• Comply understand and support corporate safety initiatives to ensure a safe work environment
• Ability and willingness to abide by Companys Code of Conduct
• Occasional travel some overnight as required.

Disclaimer: The listed qualifications and requirements for each position are intended as guidelines. Mini-Circuits reserves the right to hire outside of these guidelines at Managements discretion.

Mini-Circuits is an Equal Opportunity Employer and does not discriminate on the basis of actual or perceived age race creed color national origin sexual orientation military status sex disability predisposing genetic characteristics marital status familial status gender identity gender dysphoria pregnancy-related condition and domestic violence victim status or protected class characteristic or any other protected characteristic as established by federal or state law.