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Leads continuous improvement, process optimization, troubleshooting, validations, plant trials, startups, and capital projects across sandwich and bakery manufacturing. Partners cross-functionally to improve safety, quality, productivity, reliability, capacity, and costs. Mentors process engineers, interns, and co-ops while building technical capabilities and supporting operational excellence initiatives.

Designs, implements, and optimizes manufacturing processes to improve efficiency, throughput, yield, quality, safety, and waste reduction. Partners with plant technicians and managers on corrective actions, Lean Manufacturing initiatives, root-cause problem solving, material and packaging improvements, product launches, startups, and capital projects. The role requires data-driven decision-making, direct manufacturing-floor exposure, cross-functional collaboration, and flexibility to work nights, weekends, holidays, and occasional travel.

Partners with plant leadership to execute people strategy, employee and labor relations, investigations, recruiting, performance management, workforce planning, engagement, and compliance. Coaches leaders, develops talent, analyzes workforce data, improves HR processes, and collaborates with shared services and centers of excellence to strengthen culture and employee experience in a manufacturing environment.

Supports the human resources department by improving HR processes and collaborating with management and personnel across compensation, benefits, labor relations, staffing, and manufacturing support. The internship provides practical exposure to HR operations, professional development, and project work. The intern must work onsite in Oxnard from March through August, 40–70 hours weekly across all shifts, including weekends and holidays.

The Human Resources Manager will lead HR activities at a manufacturing site, partnering with operations to enhance performance, employee experience, and labor relations, while managing talent and culture initiatives.

Supports manufacturing operations by working with plant technicians and employees to collect and analyze data, identify process improvements, and manage engineering projects. Responsibilities include coordinating contractors and technicians, preparing reports, documenting results, and overseeing projects from scope development through implementation, commissioning, and verification. The intern works onsite in both office and plant environments while following safety procedures.

Supports manufacturing process improvement by collecting and analyzing data, coordinating plant resources, preparing reports, and managing projects from scope development through implementation, commissioning, and verification. Works closely with technicians and salaried employees in office and plant environments while following safety procedures and communicating results effectively.

Supply Chain Interns support transportation, warehousing, logistics, procurement, planning, analytics, and customer supply chain initiatives. Responsibilities include collaborating across functions, using analytics and KPIs to monitor performance, contributing to process optimization and cost-saving projects, developing recommendations, and supporting strategic business needs. Interns gain hands-on exposure through department showcases, networking, job shadowing, mentorship, and professional development.

Participate in finance and accounting teams across functions (FP&A, tax, treasury, audit, supply chain finance, payroll, etc.). Support reporting, reconciliations, forecasting, budgeting, analysis, process improvement, and cross-functional collaboration while receiving mentorship and hands-on training.

Leads data science and advanced analytics initiatives for supply chain and plant operations. Develops machine learning, forecasting, optimization, and simulation models; translates complex operational challenges into actionable insights; and influences strategic business decisions. Partners with business leaders, evaluates emerging AI technologies, establishes analytical best practices, monitors model performance, communicates findings, and mentors data scientists and analysts.