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About the Role

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.

Responsibilities

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.
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.

Requirements

Bachelor’s Degree in Software Engineering, Computer Science, or related field of study required.
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 company's 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.
Comply, understand, and support corporate safety initiatives to ensure a safe work environment
Ability and willingness to abide by Company’s Code of Conduct

Skills

AI
Software Engineering
Digital Application Development
Platform Initiatives
Project Management
System Integrations
ERP Systems
SAP
Technical Staff Management
Company-wide Systems Initiatives
Digital Mindset
Innovative Mindset
Technical Understanding
Modernization Journey
Business Goals Understanding
Business Process Understanding
Cost-Effectiveness
Competitiveness
Profitability
Legacy Application Management
Custom-built Application Management
Enterprise Application Management
Data Accessibility
Centralized Data Management
Relationship Building
Active Listening
Collaboration
Open Exchange of Ideas
Negotiating Skills
Win-Win Solutions
AI Initiatives Implementation
Complex Organization Navigation
Ambiguity Tolerance
Communication Skills
Network Leverage
Fast-Paced Environment Adaptability
Growing Organization Adaptability

Location

Global

Work Type

Occasional travel, some overnight, as required.

Experience Level

7-10 years of progressive experience
5+ years of project management responsibility
5+ years of leading large-scale, company-wide systems initiatives

Education Level

Bachelor’s Degree in Software Engineering, Computer Science, or related field of study
Master’s Degree preferred

Salary/Compensations

$190,000 - $235,000

About the Company

Mini-Circuits designs, manufactures and distributes integrated circuits, modules, and sub-systems for high performance radio frequency (RF) and microwave applications.
With 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 20,000 customers globally through our direct sales force, applications engineering staff, sales representatives, as well as through our extensive web site.

Equal Opportunity

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.