IntelProduct Manager – AI Software and Solution
Intel is hiring a Product Manager – AI Software and Solution in Santa Clara, United States. It pays $161k-$266k a year and Level rates it ; you can apply on Intel.
Level's read on this job
- On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include LangChain, Hugging Face and Qdrant.
- Level classifies it as a senior role.
- Level lists 860 other open roles at Intel.
AI in this role
Define and scale Intel's Data Center AI Software Portfolio, focusing on generative AI software stacks, agentic toolkits, and microservices.
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
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. 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. 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. 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 HireShift:
Shift 1 (United States of America)Primary Location:
US, California, Santa ClaraAdditional Locations:
US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro, US, Texas, AustinPosting 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/ABenefits
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.How we rate this
Product Manager – AI Software and Solution at Intel rates 75 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- This job starts at
- $161k
- Typical AI product manager job
- $179k
This posting starts 10% below the typical AI product manager job. See AI product manager jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through how you've used LangChain in your day-to-day work.
- What are the limits of Hugging Face that you've run into, and how did you work around them?
- What's a project where you used Qdrant hands-on?
- Walk me through how you've used Milvus in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, LangChain, Hugging Face, Qdrant, and Milvus. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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