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Senior Ai Product Owner Jobs (NOW HIRING)

Senior Principal, AI Product Owner - LLMs Senior AI Product Owner - Large Language Models (LLMs) AI, Data & Digital Enablement - Global Supply Chain Here at Entegris, we use advanced science to ...

We are looking for an experienced AI Product Owner to lead the strategy, definition, and delivery ... Communicate product strategy, progress, risks, and outcomes to senior leadership and business ...

AI Product Owner - Healthcare Location: Remote Employment Type: W2 Industry: Healthcare We are seeking an experienced AI Product Owner to lead the strategy, development, and delivery of AI-driven ...

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Role: AI Product Owner Location: Any USA Infosys Office (Onsite) Duration of contract: Long Term Role Descriptions: We are seeking a dynamic, results-driven AI Product Owner to lead the strategy ...

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Los Angeles, CA · On-site

$110 - $160/hr

We are seeking a highly motivated AI Product Owner to drive the delivery of AI-powered products and solutions. This role serves as the bridge between business stakeholders and technical teams ...

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AI Product Owner with P&C insurance Location: Warren, NJ (3 days on-site) Role Overview Client is seeking an experienced AI Product Owner to lead the development and delivery of AI-driven solutions ...

Job Title AI - Product Owner What does a successful AI Product Analyst do at Fiserv within Finxact? As an AI Product Owner within Finxact Experience, you will help shape the next generation of ...

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How much do senior ai product owner jobs pay per year?

As of Aug 24, 2026, the average yearly pay for senior ai product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

How much do senior AI product owners make?

Senior AI product owners typically earn between $110,000 and $160,000 annually, depending on experience, location, and company size. They often have expertise in AI technologies, product management, and data analysis, which can influence salary levels.
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Infographic showing various Senior Ai Product Owner job openings in the United States as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Senior Principal, AI Product Owner - Agentic AI

Entegris

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 hours ago


Entegris rating

8.2

Company rating: 8.2 out of 10

Based on 40 frontline employees who took The Breakroom Quiz

85th of 544 rated manufacturers


Job description

Job Title:

Senior Principal, AI Product Owner - Agentic AI

Job 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 asLangGraph,AutoGen, orCrewAI.

  • 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 enterpriseleadership, andcontinuously 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 inenterprise data, software development practices and/orproduct 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

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