Job Title:
Senior Principal, AI Product Owner - Agentic AIJob Description:
Senior AI Product Owner — Agentic AI
AI, Data & Digital Enablement — Global Supply Chain
Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.
The Role:
Entegris is seeking a Senior AI Product Owner — Agentic AI to join our Global Supply Chain organization in a remote, U.S.-based role. Within Global Supply Chain, the AI, Data & Digital Enablement team is building the data foundation, AI capabilities, and digital products that make our supply chain more predictive, resilient, and efficient.
Reporting to the VP, AI and Data, you will own the strategy, roadmap, and delivery of agentic AI products — autonomous and semi-autonomous agents that plan, reason, use tools, and act across supply chain and operational workflows. This is a senior, builder-level role: you’ll shape the product portfolio, stand up the practice, establish governance and guardrails, and ensure the underlying data is AI-ready — partnering with business leaders, IT, data engineering, and data science to take solutions from concept to scaled production.
What You’ll Do:
Agentic AI Product Leadership
Be the domain expert and provide senior principal, consultant level approach for developing and maturing best practices. Own the vision and roadmap for agentic AI products that execute multi-step work across supply chain and operations (e.g., exception handling, planning, procurement, supplier and logistics operations).
Partner with engineering to design multi-agent systems — orchestration, tool/function calling, memory, retrieval, and human-in-the-loop checkpoints — using frameworks such as LangGraph, AutoGen, or CrewAI.
Define autonomy levels, agent evaluation, and reliability standards, and instrument observability for agent actions and outcomes.
Balance automation with control — designing escalation, approval gates, and fail-safes appropriate to mission-critical operations.
Data Readiness for AI
Partner with data engineering and governance teams to assess and elevate the readiness of supply chain, manufacturing, quality, and operational data for AI — accuracy, completeness, lineage, timeliness, and accessibility.
Champion the data-quality standards, metadata, and master data your products depend on, and drive readiness assessments before solutions move to production.
Building the Practice
Stand up and scale the capability within Entegris’ AI, Data & Digital Enablement function — reusable patterns, playbooks, reference architectures, and evaluation frameworks.
Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that lets delivery scale across the organization.
Establishing Governance
Define and operationalize Responsible AI governance — risk, security, data and IP protection, model/solution oversight, audit trails, and compliance — aligned to Entegris policy and emerging AI regulation.
Set the guardrails and approval gates appropriate to a mission-critical operations environment.
Value Creation
Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service).
Report realized impact to supply chain and enterprise leadership, and continuously reprioritize the portfolio toward measurable outcomes.
Stakeholder & Cross-Functional Leadership
Run discovery with business owners, lead change management and adoption, and communicate progress, value, and risk to senior leadership.
Influence and align business, IT, data engineering, and data science partners around a shared roadmap.
What We Seek:
Deep understanding of agentic architectures — planning/reasoning loops, tool use, orchestration, retrieval, and human-in-the-loop design — and the maturity to deploy them safely.
15+ years in enterprise data, software development practices and/or product management/ownership, including 4+ years delivering AI/ML or data products, with a track record of taking solutions to scaled production.
Demonstrated experience assessing and improving data readiness for AI — quality, lineage, metadata, and accessibility.
Proven success building a new capability or practice and scaling it across an organization.
Experience establishing AI governance, risk, and Responsible AI controls.
Track record of value creation — connecting AI products to quantified business outcomes.
Excellent stakeholder leadership and executive communication; able to influence senior business and technical leaders.
Bachelor’s degree in a relevant field; advanced degree a plus.
Outstanding Candidates Will Have:
Experience with agent platforms and Google Cloud Platform (GCP), including Vertex AI Agent Builder, is a plus.
Experience in semiconductor, advanced materials, manufacturing, or global supply chain environments.
Familiarity with enterprise platforms such as Microsoft Azure AI / Copilot, Databricks, SAP, and ServiceNow.
Relevant certifications in product management, AI/ML, or cloud, and experience with Agile and modern product operating models.
What We Offer:
At Entegris, we invest in providing opportunity to our employees and promote from within. The new hire in this role will have the potential to grow and create relationships across the organization and be recognized for demonstrated success and adherence to company PACE values.
Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.
Compensation: $175,000 - $230,000 per year range with actual pay dependent on candidate overall skills for the role
Generous 401(K) plan with an impressive employer match
Excellent health, dental and vision insurance packages to fit your needs
Flexible work schedule and 11 paid holidays a year
Paid time off (PTO) policy that empowers you to take the time you need to recharge
Education assistance to support your learning journey
Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence.
Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.
At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status
#LI-RC1
Skills Required
- 15+ years in enterprise data, software development practices, or product management, including 4+ years delivering AI/ML or data products
- Deep understanding of agentic architectures: planning/reasoning loops, tool use, orchestration, retrieval, and human-in-the-loop design
- Experience assessing and improving data readiness for AI: quality, lineage, metadata, timeliness, and accessibility
- Proven success building and scaling a new capability or practice across an organization
- Experience establishing AI governance, risk management, and Responsible AI controls
- Track record of connecting AI products to quantified business outcomes and building business cases
- Excellent stakeholder leadership and executive communication; ability to influence senior business and technical leaders
- Bachelor's degree in a relevant field (advanced degree a plus)
- U.S.-based (role is remote but requires U.S.-based candidates)
- Experience with agent platforms and Google Cloud Platform (GCP), including Vertex AI Agent Builder
- Familiarity with multi-agent frameworks such as LangGraph, AutoGen, or CrewAI
- Experience in semiconductor, advanced materials, manufacturing, or global supply chain environments
- Familiarity with Microsoft Azure AI / Copilot, Databricks, SAP, and ServiceNow
- Relevant certifications in product management, AI/ML, or cloud; experience with Agile and modern product operating models
Entegris Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entegris and has not been reviewed or approved by Entegris.
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Fair & Transparent Compensation — Pay is considered competitive or slightly above industry standards in several roles, with some calling compensation very fair or great. Feedback suggests overtime opportunities in certain manufacturing roles further enhance earnings.
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Retirement Support — Retirement programs feature a strong company 401(k) match and additional savings vehicles that employees value. Feedback suggests these offerings meaningfully bolster total compensation.
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Leave & Time Off Breadth — Time-off policies are described as good, with PTO that can increase with tenure and unlimited PTO available in some roles. Paid parental leave and holidays add to the overall breadth.
Entegris Insights
What We Do
Artificial intelligence, augmented reality, Internet of Things – these are not just trends, they are drivers changing the way people live across the globe. With these new drivers and the increasing speed of innovation, there comes an expectation for higher-quality, higher-performing technologies at a faster pace. Every day, and for more than 50 years, Entegris’ singular mission has been to help customers utilize our advanced science-based solutions to support demand drivers; to innovate faster and more efficiently; and ultimately to transform the world. Through the power of our solutions and technology expertise, Entegris provides customers with innovative, science-based solutions to their toughest technology challenges. Headquartered in Billerica, Massachusetts, Entegris employs approximately 5,800 people worldwide, with roughly half employed in Asia-Pacific or Europe. With research and development, customer service, analytical labs, and manufacturing in Asia-Pacific, North America and Europe, Entegris supports customers around the globe as they take technology to the next level.








