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About the Role

Dematic is seeking a Product Manager, Industrial AI & Operational Intelligence to define, deploy, and scale AI-driven capabilities within the Command Center platform. This role requires hands-on engagement across the full AI product lifecycle, from use-case discovery to commercialization, and demands technical, operational, and commercial credibility.

Responsibilities

Identify high-value AI opportunities across warehousing, distribution, manufacturing, automation, and industrial operations.
Translate customer pain points into well-defined AI use cases with clear hypotheses, success criteria, adoption paths, and ROI expectations.
Create and maintain a prioritized AI use-case roadmap based on customer value, technical feasibility, data readiness, commercial potential, and deployment complexity.
Define business requirements, product behavior, acceptance criteria, and operational KPIs for evaluating AI solutions in production.
Focus on operational outcomes such as throughput, labor productivity, order fulfillment, availability, downtime reduction, inventory performance, and exception resolution.
Guide product decisions and prioritize engineering work with AI engineers, scientists, software architects, UX designers, and platform teams.
Provide business context to technical teams to ensure models and user experiences address real operating problems.
Review solution outputs, recommendations, and analytics workflows for understandability, usability, and value to operational users.
Drive alignment between AI capabilities and Command Center product strategy.
Partner with engineering leadership to define release plans, pilot readiness criteria, deployment constraints, and support expectations.
Serve as the product lead during customer AI engagements, from discovery through pilot execution and production rollout.
Lead customer workshops to understand operational goals, constraints, data availability, and success criteria.
Explain the AI process to customers, including capabilities, limitations, recommendation generation, result review, and human oversight.
Review AI outputs with customers and stakeholders to refine use cases, improve trust, and identify product enhancements.
Support implementation teams with repeatable deployment playbooks, pilot plans, validation checklists, and adoption guidance.
Define validation frameworks for measuring model quality, recommendation usefulness, business impact, user adoption, and customer confidence.
Establish feedback loops from customer deployments to product, AI engineering, data engineering, and UX teams.
Help shape responsible AI practices for industrial deployments, including explainability, transparency, escalation paths, and human review.
Monitor deployed AI capabilities and identify opportunities for improvement.
Position AI solutions as practical decision-support tools that augment customer operations.
Support sales, solution consulting, and commercial teams with customer-facing narratives, demonstrations, pilot proposals, and business cases.
Develop messaging that explains AI capabilities in operational terms for various customer stakeholders.
Collaborate on packaging, pricing, deployment models, and post-sale adoption approaches for Command Center AI capabilities.
Build referenceable customer stories, repeatable use-case patterns, and lessons learned from early deployments.

Requirements

7+ years of experience in product management, solution consulting, industrial software, operational excellence, automation, supply chain technology, or a related role.
3+ years of direct experience managing software products involving AI, machine learning, advanced analytics, optimization, and generative AI.
Experience delivering technology solutions into industrial environments such as warehouses, distribution centers, manufacturing plants, material handling operations, or automated facilities.
Strong working knowledge of operational KPIs such as throughput, productivity, order fulfillment, downtime, availability, labor utilization, equipment performance, inventory accuracy, and exception management.
Ability to translate ambiguous business problems into structured use cases, product requirements, workflows, acceptance criteria, and measurable outcomes.
Strong customer-facing communication skills, including the ability to explain technical concepts to non-technical stakeholders and build trust with skeptical customers.
Demonstrated ability to lead cross-functional work across product, engineering, data science, implementation, sales, and customer teams.
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.
Ability to evaluate data readiness and identify practical constraints related to data quality, integration, latency, context, ownership, and operational interpretation.
MBA, engineering degree, supply chain degree, analytics degree, or equivalent practical experience.
Technically credible with AI engineers and software architects.
Operationally credible with warehouse, manufacturing, maintenance, IT, and automation leaders.
Commercially credible with customers, sales teams, and executive stakeholders.
Comfortable operating in ambiguity and turning early-stage AI concepts into deployable, repeatable product capabilities.
Able to balance innovation with customer trust, operational risk, explainability, and adoption readiness.
Focused on measurable business outcomes rather than AI terminology, demos, or technology for its own sake.
Applicants must be authorized to work in the U.S. without the need for current or future sponsorship.

Skills

AI
Machine Learning
Advanced Analytics
Optimization
Generative AI
Industrial Software
Operational Excellence
Automation
Supply Chain Technology
Product Management
Solution Consulting
WMS
WES
WCS
MES
Industrial Automation Platforms
Digital Twins
Industrial IoT
Telemetry
Operational Analytics Platforms
LLMs
AI Agents
ML Models
MLOps
Data Pipelines
Forecasting
Anomaly Detection
Root-Cause Analysis
Causal AI
Simulation
Customer Engagement
Cross-functional Leadership
Business Case Development
Roadmap Development
KPI Definition
Responsible AI Practices
Commercialization

Location

Grand Rapids, MI
Atlanta, GA

Work Type

Hybrid

Experience Level

7+ years of experience
3+ years of direct experience

Education Level

MBA
Engineering Degree
Supply Chain Degree
Analytics Degree
Equivalent Practical Experience

Salary/Compensations

$102,400-$128,000

Benefits

Career Development
Competitive Compensation and Benefits
Pay Transparency
Global Opportunities

About the Company

Dematic is a leading provider of integrated logistics solutions.

Equal Opportunity

Dematic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.