Industry Solution Leader - Heavy Industrial (Integrate Steel Optimization and Asset Performance)

Location: New York, New York, United States; customer-site travel required as needed. Candidates must be authorized to work in the United States without current or future company sponsorship.

Salary: $130,000–$167,000 USD per year

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 customer value from problem definition through production deployment and scale.
• Lead customer engagements focused on integrated steel optimization, asset performance, reliability, maintenance, throughput, yield, quality, energy efficiency, and operating economics.
• Translate engineering and operational challenges into AI, machine learning, optimization, and software requirements with measurable success criteria.
• Lead cross-functional teams of forward-deployed engineers, data scientists, product managers, engineers, and industry experts.
• Interpret industrial data, including process signals, equipment states, maintenance history, production information, alarms, and quality data.
• Partner with product and engineering teams to develop reusable capabilities, support sales opportunities, and scale solutions across assets, facilities, and business units.

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 an integrated steel mill, with exposure to BF, BOF/BOP, caster, HSM, and/or cold rolling or finishing operations.
• Experience owning or improving throughput, yield, scrap, quality, energy, downtime, line balance, bottleneck removal, equipment reliability, or maintenance effectiveness.
• Experience with industrial data and systems such as process historians, SCADA, DCS, MES, EAM/CMMS, ERP, advanced process control, or industrial analytics platforms.
• Experience leading complex customer-facing technical engagements and working with engineering, operations, maintenance, reliability, and executive stakeholders.

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 scaling technical solutions from proof of value through production across multiple assets, plants, facilities, or business units.
• Advanced degree in engineering, science, or a related technical discipline.

Culture & Benefits

• Full-time employment with a compensation package that includes salary, benefits, and an equity plan.
• Work within a forward-deployed engineering organization focused on measurable customer outcomes.
• Collaborate with product, engineering, data science, and industry experts on enterprise AI deployments.