ZipRecruiter

Log In

1

Machine Learning Ai Supply Chain Jobs (NOW HIRING)

C3 AI

Senior Product Manager - Supply Chain

Redwood City, CA

$154K - $204K/yr

... AI and machine learning applications at scale . You will work closely with customers and internal teams to help build intelligent, proactive AI driven supply chain products that solve complex real ...

Element Solutions

Machine Learning/AI Engineer

The Machine Learning/AI Engineer will work across the full model lifecycle-from data preparation and feature engineering to model training, deployment, and monitoring-in a regulated government ...

Gather AI

Director of Machine Learning

Pittsburgh, PA

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

Gather AI

Director of Machine Learning

Pittsburgh, PA

About Us Are you ready to build the future of supply chain? At Gather AI, we're not just creating ... About the Team You'll lead the Machine Learning and FPT teams, working closely with the Director of ...

next page

Showing results 1-20

All JobsMachine Learning Ai Supply Chain Jobs

Machine Learning Ai Supply Chain information

See salary details

$14

$33

$56

How much do machine learning ai supply chain jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for machine learning ai supply chain in the United States is $33.44, according to ZipRecruiter salary data. Most workers in this role earn between $24.52 and $38.70 per hour, depending on experience, location, and employer.

What is a Machine Learning AI Supply Chain professional?

A Machine Learning AI Supply Chain professional uses artificial intelligence and machine learning technologies to optimize and automate processes within the supply chain. Their responsibilities often include analyzing large datasets, forecasting demand, improving inventory management, and enhancing logistics efficiency. By leveraging advanced algorithms, they help companies reduce costs, minimize risks, and make more data-driven decisions throughout the supply chain. These professionals typically have expertise in both supply chain management and data science or AI. Their work is crucial for businesses aiming to stay competitive in today’s fast-paced, technology-driven market.

What is the difference between Machine Learning Ai Supply Chain vs Data Analyst?

AspectMachine Learning Ai Supply ChainData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related fields; knowledge of ML frameworksBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization tools
Work EnvironmentTech-driven supply chain teams, logistics companies, manufacturingBusiness departments, consulting firms, finance, marketing
Employer & Industry UsageSupply chain management, logistics, manufacturing industriesVarious industries including finance, marketing, healthcare

Machine Learning Ai Supply Chain specialists focus on developing AI models to optimize supply chain processes, while Data Analysts interpret data to support business decisions across industries. Both roles require strong analytical skills, but their applications and tools differ significantly.

What are the key skills and qualifications needed to thrive as a Machine Learning AI Supply Chain professional, and why are they important?

To thrive in Machine Learning AI Supply Chain roles, you need a solid background in data science, supply chain management, and programming, often supported by a degree in computer science, engineering, or related fields. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), data analytics platforms, and ERP systems is typically required, along with experience in supply chain optimization algorithms. Strong problem-solving, analytical thinking, and collaboration skills help professionals stand out by enabling them to translate complex data into actionable supply chain strategies. These skills and qualities are vital for leveraging AI to drive efficiency, reduce costs, and enhance decision-making within supply chain operations.

How does a Machine Learning AI professional in supply chain typically collaborate with other departments to implement predictive analytics solutions?

Machine Learning AI professionals working in supply chain often collaborate closely with operations, IT, procurement, and logistics teams to implement predictive analytics solutions. They translate business needs into technical requirements, work with data engineers to ensure data quality and availability, and partner with operations managers to align models with real-world processes. Frequent cross-functional meetings and iterative feedback loops are common, as these professionals must ensure their models are actionable and integrate smoothly with existing workflows. This collaborative environment fosters continuous improvement and helps maximize the impact of AI-driven insights on supply chain efficiency.
Senior Product Manager - Supply Chain

Senior Product Manager - Supply Chain

C3 AI

Redwood City, CA

$154K - $204K/yr

Other

Posted 16 days ago

Job description

We are looking for a Senior Product Manager, Supply Chain to support the development of new agentic capabilities for the C3 AI Supply Chain suite. This role is ideal for an early- to mid-career product professional with a strong foundation in supply chain operations and planning systems-particularly IBP, S&OP, and APS tools-and experience developing and deploying Agentic AI and machine learning applications at scale.

You will work closely with customers and internal teams to help build intelligent, proactive AI driven supply chain products that solve complex real-world challenges such as demand forecasting, inventory optimization, supply network risk, and supplier delay prediction.

Responsibilities:

  • Drive the development of next-generation agentic capabilities for enterprise AI supply chain applications
  • Maintain clear and actionable product requirements, functional specs, and user stories for engineering
  • Translate business needs into scalable ML-driven product features, especially around predictive and prescriptive decision-making
  • Support product rollouts, customer implementations, and trials across a global customer base
  • Collaborate cross-functionally with Engineering, Sales, Data Science, and Customer Success to prioritize roadmap items and drive successful outcomes
  • Stay ahead of the curve on AI/ML trends, particularly in autonomous agents, LLMs, and decision intelligence in supply chain contexts
  • Build technical credibility with customers and contribute to strategic discussions about enterprise AI adoption

Qualifications:

  • Bachelor's degree in a STEM field required; advanced degree (MBA/MS) preferred 5-8 years of total experience, including:
    • 2+ years in product management, technical product ownership, or management consulting with product-facing responsibilities
    • Direct involvement with supply chain planning systems such as IBP, S&OP, Kinaxis, o9, Blue Yonder, or SAP APO preferred
  • Experience deploying AI/ML products or agent-based systems at scale in enterprise environments
  • Familiarity with core supply chain processes: demand planning, inventory optimization, sourcing, logistics, and production planning
  • Ability to define MVPs and iterate quickly, balancing technical feasibility with business impact
  • Strong communication and presentation skills for both technical and business stakeholders
  • Fast learner, self-starter, and intellectually curious-especially around AI, cloud platforms, and supply chain innovation

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

Apply