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Production Manager

Job in Goleta, Santa Barbara County, California, 93116, USA
Listing for: ACI Materials, Inc.
Full Time position
Listed on 2026-01-01
Job specializations:
  • Engineering
    Process Engineer, Manufacturing Engineer
  • Manufacturing / Production
    Manufacturing Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 110000 USD Yearly USD 80000.00 110000.00 YEAR
Job Description & How to Apply Below

About ACI Materials

ACI Materials has developed a breakthrough processing technology that fundamentally transforms advanced materials manufacturing. Our proprietary platform delivers 10-100x performance improvements in conductive inks, aerospace coatings, and electronic adhesives while reducing manufacturing costs and waste streams. ACI is positioned at the epicenter of North American electronics manufacturing reshoring and the global transition to sustainable materials processing. As we scale from current operations to a world-class commercial organization to capture the extraordinary market opportunity ahead.

The

Opportunity

Join a deep tech company transitioning from development to commercial-scale manufacturing serving aerospace, energy, mobility, and advanced electronics sectors. As an AS9100 and ISO 9001 certified manufacturer, we engineer advanced material formulations using proprietary fluid dynamics processing technology that fundamentally transforms material properties at the molecular level, enabling breakthrough performance across multiple industrial applications.

The opportunity offers a chance to manage production systems and processes as we scale from pilot to full commercial capacity. You'll contribute to establishing manufacturing standards, implement process controls, and shape operational infrastructure during a critical growth phase where your input and decisions will define how the company manufactures for the next decade.

Core Responsibilities
  • Lead scale-up of formulation processing systems from pilot to production volume, establishing protocols for batch consistency, yield optimization, and quality verification
  • Design and implement process control systems integrating real-time monitoring, data acquisition, and automated quality checkpoints
  • Partner with R&D to translate laboratory formulations into manufacturable processes, resolving scale-dependent issues and optimizing for throughput and cost efficiency
  • Develop standard operating procedures, equipment maintenance protocols, and failure mode analysis for critical processing equipment
  • Manage production scheduling, inventory control, and resource allocation to meet customer delivery commitments across multiple product lines
  • Build and lead production team through hiring, training, and performance management as operations expand
  • Collaborate with Quality Assurance to establish testing protocols, specification limits, and certification documentation for customer applications
  • Drive continuous improvement initiatives using lean methodologies, statistical process control, and root cause analysis to reduce waste and improve yields
  • Maintain and enhance AS9100/ISO 9001 quality management systems, ensuring production processes meet aerospace-grade documentation, traceability, and compliance requirements
Required Qualifications
  • B.S. in Chemical Engineering or related discipline (Recent graduates and December 2025 graduates encouraged to apply)
  • Strong foundation in fluid mechanics, thermodynamics, transport phenomena, and process engineering fundamentals
  • Direct experience with process equipment operation, troubleshooting, and optimization (internships, co-ops, or undergraduate research acceptable)
  • Demonstrated ability to translate theoretical concepts into practical engineering solutions
  • Clear, precise technical communication skills for documentation and cross-functional collaboration
  • Self-directed work ethic with proven ability to solve complex problems under minimal supervision
Preferred Qualifications
  • Python programming for data analysis, process modeling, or automation (Num Py, pandas, matplotlib)
  • JavaScript is a plus for data translation into MRP system
  • Experience with materials characterization, rheology, or formulation chemistry
  • Exposure to statistical process control, design of experiments, or Six Sigma methodologies
  • Leadership experience through project teams, lab supervision, or technical organizations
  • Familiarity with manufacturing execution systems, process control software, or laboratory information management systems
The Engineering Opportunity

Most engineers join mature manufacturing operations where processes are fixed and roles are narrowly…

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