Industry Solution Leader (Heavy Industrial - Complex Manufacturing / Shipbuilding)

Location: Redwood City, California, United States; travel to customer locations as required. Candidates must be authorized to work in the United States without current or future company sponsorship.

Salary: $130,000–$203,000 USD annually, plus benefits and equity.

Company

hirify.global develops enterprise AI software, including an AI platform, industry-specific SaaS applications, and generative AI solutions.

What you will do

• Own solution strategy, technical direction, delivery outcomes, and business value from problem definition through production deployment and scale.
• Lead customer-facing discovery with engineering, operations, maintenance, reliability, and executive stakeholders.
• Identify opportunities in equipment reliability, predictive maintenance, production performance, throughput, yield, quality, energy efficiency, and operating economics.
• Translate engineering and operational challenges into AI, machine learning, optimization, and software requirements.
• Lead cross-functional teams of forward deployed engineers, data scientists, product managers, engineers, and industry experts.
• Partner with product and engineering teams to develop reusable capabilities, methodologies, and solution patterns.

Requirements

• Bachelor’s degree in Engineering or a related technical discipline.
• 7+ years of experience in engineering, manufacturing, operations, reliability, maintenance, industrial technology, or technical consulting.
• Hands-on experience in complex engineered manufacturing such as shipbuilding, heavy equipment, aerospace, or EPC, including fabrication, welding, assembly, and production sequencing.
• Experience with industrial equipment, production processes, process controls, maintenance practices, and operational workflows.
• Experience working with industrial data, including sensor and time-series data, equipment states, alarms, maintenance history, production data, quality information, and engineering data.
• Experience with industrial systems such as process historians, SCADA, DCS, MES, EAM/CMMS, ERP, advanced process control, or industrial analytics platforms.

Nice to have

• Experience delivering AI, machine learning, advanced analytics, optimization, predictive maintenance, condition monitoring, or industrial digital transformation solutions.
• Hands-on experience with industrial data, SQL, Python, analytics tools, application configuration, or scripting.
• Experience taking solutions from proof of value through production deployment and scaling across assets, plants, facilities, or business units.
• Advanced degree in Engineering, Science, or a related technical discipline.

Culture & Benefits

• Full-time employment with a competitive compensation package.
• Excellent benefits and a generous equity plan.
• Opportunity to work on enterprise AI solutions for industrial customers.