Product Manager – AI Software and Solution

Intel Corporation; Santa Clara (CA); On-site; USD 161,000 - 266,000; Full time

Benefits offered by this job

Stock bonuses

Health benefits

Retirement benefits

Vacation

Job summary

Intel Corporation in Santa Clara, California, seeks a Senior Product Manager to define, build, and scale the Data Center AI Software Portfolio. You will own end-to-end strategy for the generative AI stack, including agentic toolkits, containerized microservices, and turnkey solutions for cloud, hybrid, and on-prem deployments.

You will lead cross-functional efforts with engineering, marketing, and partners to drive an open developer ecosystem, accelerate AI deployment, and create competitive,

Qualifications

• Education: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline. (An MBA or advanced degree is highly preferred).
• Experience: 10+ years of product management, product engineering, or technical marketing experience in the data center, cloud-native, or enterprise software domain.
• AI/ML Technical Domain Expertise: 3+ years of dedicated product leadership within deep learning, LLMs, generative AI stacks, or accelerated computing.
• Cloud-Native Proficiency: Practical understanding of cloud-native orchestration tools (Kubernetes, Red Hat OpenShift), containerization (Docker), and modern microservice mesh architectures.

Responsibilities

• Portfolio Strategy and Roadmap Ownership: define and scale the product lifecycle, strategic vision, and execution roadmap for Intel's Data Center AI software.
• Turnkey Solutions: drive productization of enterprise-ready, out-of-the-box software to enable seamless AI deployment across cloud, hybrid, and on-prem environments.
• Agentic and Microservices Ecosystem: lead strategy for modular AI software architectures with agentic toolkits and microservices.
• Cross-functional GTM and engineering alignment: collaborate with engineering, marketing, and partners to ensure market relevance and successful adoption.

Skills

AI/ML product leadership

Cloud-native orchestration

Strategic product management

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related technical field

Tools

Kubernetes

OpenShift

Docker

Job description

Job Details

We are seeking a visionary, strategic, and technically deep Senior Product Manager to define, build, and scale our Data Center AI Software Portfolio. In this role, you will be the primary strategist and execution leader driving end-customer-facing software solutions for Intel's high-growth Data Center accelerator products. You will lead the end-to-end product strategy for our generative AI software stack, with a specific focus on use-case-driven Agentic toolkits, containerized microservices, and enterprise-grade, ready-to-deploy (turnkey) solutions. Your mission is to democratize high-performance accelerated computing by removing the complexities of AI deployment, establishing a robust developer ecosystem, and creating highly competitive, open-standards-based software offerings that challenge industry incumbents.

Key Responsibilities

1. 1. Portfolio Strategy and Roadmap Ownership
   • Define and Scale: Own the product lifecycle, strategic vision, and execution roadmap for Intel's Data Center AI Software and customer experiences.
   • Turnkey Solutions: Drive the definition and productization of enterprise-ready, out-of-the-box (OOTB) software solutions (cloud, hybrid, and on-premises) that enable seamless AI deployment.
   • Agentic and Microservices Ecosystem: Lead the strategy for modular AI software architectures, focusing on industry compliant microservices, Hetro frameworks, and Agentic AI toolkits.
2. 2. Competitive Positioning and Market Intelligence
   • Market Disruption: Maintain deep, continuous analysis of competitor hardware/software stacks to identify market whitespace, software gaps, and unique value-proposition vectors for Intel's hardware.
   • GTM: Collaborate with Product Marketing and Business Development to establish competitive software offering, licensing, and product packages that drive high volume adoption.
3. 3. Developer and Partner Enablement
   • Ecosystem Growth: Foster strong relationships with Cloud Service Providers (CSPs), emerging Neoclouds, Independent Software Vendors (ISVs), and the open-source AI community (Hugging Face, PyTorch, LangChain, etc.).
   • Turnkey Blueprints: Deliver developer-friendly reference architectures, deployment blueprints (Docker Compose, Kubernetes Helm Charts, and Terraform), and system telemetry integrations.
   • Frictionless Onboarding: Work closely with the technical documentation and developer relation teams to ensure APIs, SDKs, and toolkits are exceptionally well-documented and simple to adopt.
4. 4. Cross-Functional Collaboration
   • Engineering Alignment: Partner intimately with software engineering, AI researchers, and silicon architecture teams to translate complex customer challenges into clear PRDs (Product Requirement Documents) and engineering backlogs.
   • Shift-Left Methodologies: Coordinate with simulators, emulation, and validation teams to ensure software readiness prior to hardware tap-out.

Qualifications

Minimum Qualifications

• Education: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline. (An MBA or advanced technical degree is highly preferred).
• Experience: 10+ years of product management, product engineering, or technical marketing experience in the data center, cloud-native, or enterprise software domain.
• AI/ML Technical Domain Expertise: 3+ years of dedicated product leadership within deep learning, LLMs, generative AI stacks, or accelerated computing.
• Cloud-Native Proficiency: Practical understanding of cloud-native orchestration tools (Kubernetes, Red Hat OpenShift), containerization (Docker), and modern microservice mesh architectures.

Preferred Qualifications

• AI Software Knowledge: Direct experience with GPU software stack from middleware to frameworks to Agentic toolkits.
• AI System Design: Proven track record of productizing RAG applications, Agentic AI, vector databases (e.g., Milvus, Redis, Qdrant), or complex AI orchestration frameworks.
• Enterprise Software Delivery: Experience working with AI Inference deployment and Agentic frameworks is highly desirable.
• Thriving in Ambiguity: Ability to successfully manage multiple complex, matrixed workstreams and drive alignment among diverse technical and business stakeholders globally.

Job Type and Locations

Job Type: Experienced Hire

Shift: Shift 1 (United States of America)

Primary Location: US, California, Santa Clara

Additional Locations: US, Arizona, Phoenix; US, California, Folsom; US, Oregon, Hillsboro; US, Texas, Austin

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Benefits

• We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.

Annual Salary Range

Annual Salary Range for jobs which could be performed in the US: $160,980.00-265,870.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model and Additional Information

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

* Job posting details (such as work model, location or time type) are subject to change.

* ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.