Software Product Manager
- Compensation
- Not disclosed
- Location
- Grand Rapids, MI, United States
- Work setup
- Hybrid
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Product
- Posted
Skills
Must have
- 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 ma
- 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.
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.
- 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.
Full description
Dematic is seeking a Product Manager, Industrial AI & Operational Intelligence to help define, deploy, and scale AI-driven capabilities within the Command Center platform. This individual will work closely with AI engineers, software development teams, implementation teams, and customers to identify practical industrial AI use cases, guide solution development, validate results in real operating environments, and ensure successful adoption across warehouse, distribution, manufacturing, and automation operations.
This is not a traditional software product management role focused only on backlog grooming or roadmap administration. The role requires hands-on engagement across the full AI product lifecycle: use-case discovery, business case development, data and model readiness, pilot execution, customer validation, deployment support, change management, and commercialization. The successful candidate will be technically credible with AI and software teams, operationally credible with warehouse and manufacturing leaders, and commercially credible with customers, sales, and executive stakeholders.
We offer:
- Career Development
- Competitive Compensation and Benefits
- Pay Transparency
- Global Opportunities
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.
The base pay range for this role is estimated to be $102,400-$128,000 at the time of posting. Final compensation will be determined by various factors such as work location, education, experience, knowledge, and skills.
Learn More Here: .
Tasks and Qualifications:What You Will DoAI Strategy & Use-Case Development
- 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 the business requirements, product behavior, acceptance criteria, and operational KPIs needed to evaluate AI solutions in production environments.
- Help separate meaningful customer value from AI hype by focusing on operational outcomes such as throughput, labor productivity, order fulfillment, availability, downtime reduction, inventory performance, and exception resolution.