M

Mini-Circuits

Designs, manufactures, and distributes RF/microwave components

Senior Manager AI & Software Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeMelville, NY, USA$190k - $235k

About the Job

Requirements

  • A bachelor's degree in Software Engineering, Computer Science, or a related field is required.
  • Seven to ten years of progressive experience in enterprise business application design and systems development, including systems integrations with ERP systems; SAP experience is preferred.
  • Five or more years of project management responsibility, leadership experience, and a track record of managing technical staff are required.
  • Five or more years of leading large-scale, company-wide systems initiatives to successful execution are required.
  • A deep technical understanding and a successful track record in modernization are required, beyond general awareness or management experience.
  • Understanding of company business goals and objectives, business processes, and how individual actions affect business performance is required.
  • Proven success working with multiple legacy and custom-built applications while leading company-wide transformation initiatives that reduce redundancy, create synergy across systems and enterprise applications, and enable accessible, centralized data is required.
  • Experience implementing AI initiatives as part of a comprehensive IT strategy is required.
  • Experience in large, complex, dynamic organizations with multiple business groups and broad geographic reach, and the ability to work in an ambiguous environment, is required.
  • Exceptional communication skills and the ability to leverage internal and external networks are required.
  • Ability and willingness to comply with the company Code of Conduct is required.
  • Ability to comply with and support corporate safety initiatives is required.
  • Willingness to travel occasionally, including some overnight travel, is required.

Responsibilities

  • Lead AI and software engineering delivery across MC-CORE, Ask MC, PIM AI, Project Everest AI enablement, Project Atlas AI and analytics support, internal digital applications, integrations, workflow automation, and future AI product pods.
  • Own the AI and software engineering delivery operating system, including backlog structure, prioritization, 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 within a shared engineering cadence with clear ownership and deliverables.
  • Partner with the VP of AI and Digital Technologies to align engineering priorities with business strategy, operating model maturity, governance requirements, and investment decisions.
  • Partner with IT Operations on production readiness, environment readiness, support handoff, identity and access alignment, operational documentation, incident processes, and service transition before releases.
  • Partner with Enterprise Data Architecture to ensure solutions use 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 for coding practices, documentation, code reviews, testing, DevOps and release controls, technical decision logs, issue escalation, 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 have named business owners, subject-matter-expert validators, approved data sources, release plans, adoption metrics, and support models.
  • Coordinate global AI and software engineering capacity, including internal and distributed developers, assigning work according to product and pod priorities rather than informal task routing.
  • Maintain visibility into resource capacity, skill gaps, vendor dependencies, technical debt, delivery risks, support implications, and future staffing needs.
  • Partner with PMO and 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 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.
  • Manage the Software Engineering and AI teams in their day-to-day responsibilities.
  • Ensure projects, department milestones, and goals are met in accordance with department and business strategies.
  • Conduct performance reviews, issue disciplinary action when required, drive software engineer development, and hire 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.

Desired Qualifications

  • A master's degree is preferred.
  • Experience with SAP is preferred.
  • Experience in the high-tech manufacturing industry is preferred.

About the Company

Mini-Circuits

Designs, manufactures, and distributes RF/microwave components

Mini-Circuits designs, manufactures, and distributes RF, intermediate-frequency (IF), and microwave components and integrated assemblies. It serves commercial, industrial, space, and military sectors with a catalog of over 27 product lines and more than 10,000 active models, ranging from surface-mount to connectorized formats. The company operates with vertical integration, controlling design through shipment, which enables strict quality control and rapid delivery of off-the-shelf products. It also offers custom-designed solutions and has recently qualified automotive-grade components, signaling a push into high-growth markets. The goal is to be a reliable, diversified supplier by meeting exact customer requirements with ready-to-ship parts while expanding into new applications and industries.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
United States
Founded
1969

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