Product Manager – AI Software and Solution
Intel- Location
- US, California, Santa Clara · US, Oregon, Hillsboro · US, California, Folsom +2
- Workplace
- Hybrid
- Employment
- —
- Salary
- USD 160,980–265,870/yr
Posted 3d ago
Job Details
Job Description
Job Description
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
- 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.
- 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.
- 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.
- 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.
Join us in shaping the future of software innovation and leveraging your expertise to make a meaningful impact in the dynamic world of data center solutions.
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. Find out more about the benefits of working at Intel.
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 for this Role
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.
Skills
- Kubernetes
- OpenShift
- Docker
- Microservices
- AI middleware
- LLMs
- Generative AI
- Vector databases
- Qdrant
- Milvus
- Redis
- AI frameworks
- Agentic AI
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