Software Product Manager (Industrial AI)

Location: Hybrid role requiring proximity to a U.S. office in Grand Rapids, MI or Atlanta, GA. Applicants must be authorized to work in the U.S. without current or future sponsorship.

Salary: $102,400–$128,000 base pay range at the time of posting.

Company

hirify.global’s Dematic business develops the Command Center platform and AI-driven capabilities for warehouse, distribution, manufacturing, and automation operations.

What you will do

• Identify and prioritize industrial AI use cases based on customer value, technical feasibility, data readiness, commercial potential, and deployment complexity.
• Translate customer pain points into product requirements, workflows, acceptance criteria, operational KPIs, and measurable business outcomes.
• Partner with AI engineers, software architects, UX designers, data teams, implementation teams, sales, and customers to guide solution development and release planning.
• Lead customer discovery, workshops, pilots, validation, production rollouts, and adoption activities for AI capabilities.
• Define validation frameworks and feedback loops covering model quality, recommendation usefulness, business impact, user adoption, explainability, and human oversight.
• Support commercialization through customer narratives, demonstrations, pilot proposals, business cases, packaging, pricing, and referenceable use cases.

Requirements

• 7+ years of experience in product management, solution consulting, industrial software, operational excellence, automation, supply chain technology, or a related field.
• 3+ years of direct experience managing software products involving AI, machine learning, advanced analytics, optimization, or generative AI.
• Experience delivering technology solutions in warehouses, distribution centers, manufacturing plants, material handling operations, or automated facilities.
• Working knowledge of operational KPIs including throughput, productivity, fulfillment, downtime, availability, labor utilization, equipment performance, inventory accuracy, and exception management.
• Ability to convert ambiguous business problems into structured use cases, product requirements, workflows, acceptance criteria, and measurable outcomes.
• Strong customer-facing communication and cross-functional leadership skills across product, engineering, data science, implementation, sales, and customer teams.

Nice to have

• Experience with WMS, WES, WCS, MES, industrial automation platforms, digital twins, industrial IoT, telemetry, or operational analytics platforms.
• Familiarity with LLMs, AI agents, ML models, MLOps, data pipelines, forecasting, anomaly detection, root-cause analysis, causal AI, and simulation.
• Experience supporting pilots, proof-of-value programs, customer deployments, or post-sale adoption for enterprise software or industrial technology.
• MBA, engineering, supply chain, or analytics degree, or equivalent practical experience.

Culture & Benefits

• Career development opportunities.
• Competitive compensation and benefits.
• Pay transparency.
• Global opportunities.
• Equal employment opportunity and protection from discrimination and harassment.