Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Product Manager – AI Software and Solution role.

Rezi rewrites your resume against Intel Corporation's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Product Manager – AI Software and Solution posting at Intel Corporation — free, in seconds.

About the Role

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.

Responsibilities

Own the product lifecycle, strategic vision, and execution roadmap for Intel's Data Center AI Software and customer experiences.
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.
Lead the strategy for modular AI software architectures, focusing on industry compliant microservices, Hetro frameworks, and Agentic AI toolkits.
Maintain deep, continuous analysis of competitor hardware/software stacks to identify market whitespace, software gaps, and unique value-proposition vectors for Intel's hardware.
Collaborate with Product Marketing and Business Development to establish competitive software offering, licensing, and product packages that drive high volume adoption.
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.).
Deliver developer-friendly reference architectures, deployment blueprints (Docker Compose, Kubernetes Helm Charts, and Terraform), and system telemetry integrations.
Work closely with the technical documentation and developer relation teams to ensure APIs, SDKs, and toolkits are exceptionally well-documented and simple to adopt.
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.
Coordinate with simulators, emulation, and validation teams to ensure software readiness prior to hardware tap-out.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline.
10+ years of product management, product engineering, or technical marketing experience in the data center, cloud-native, or enterprise software domain.
3+ years of dedicated product leadership within deep learning, LLMs, generative AI stacks, or accelerated computing.
Practical understanding of cloud-native orchestration tools (Kubernetes, Red Hat OpenShift), containerization (Docker), and modern microservice mesh architectures.
Direct experience with GPU software stack from middleware to frameworks to Agentic toolkits.
Proven track record of productizing RAG applications, Agentic AI, vector databases (e.g., Milvus, Redis, Qdrant), or complex AI orchestration frameworks.
Experience working with AI Inference deployment and Agentic frameworks is highly desirable.
Ability to successfully manage multiple complex, matrixed workstreams and drive alignment among diverse technical and business stakeholders globally.

Skills

Data Center AI Software
Generative AI
Agentic toolkits
Containerized microservices
Enterprise-grade solutions
High-performance accelerated computing
AI deployment
Developer ecosystem
Open-standards-based software
Product lifecycle management
Roadmap definition
Productization
Cloud deployment
Hybrid deployment
On-premises deployment
Modular AI software architectures
Microservices
Hetro frameworks
Market analysis
Go-to-market strategy
Product marketing
Business development
Software offering
Licensing
Product packages
Cloud Service Providers (CSPs)
Neoclouds
Independent Software Vendors (ISVs)
Open-source AI community
Hugging Face
PyTorch
LangChain
Reference architectures
Deployment blueprints
Docker Compose
Kubernetes Helm Charts
Terraform
System telemetry
APIs
SDKs
Technical documentation
Developer relations
Software engineering
AI researchers
Silicon architecture
Product Requirement Documents (PRDs)
Engineering backlogs
Simulators
Emulation
Validation
Deep learning
LLMs
Accelerated computing
Kubernetes
Red Hat OpenShift
Docker
Microservice mesh architectures
GPU software stack
Middleware
AI System Design
RAG applications
Vector databases
Milvus
Redis
Qdrant
AI orchestration frameworks
AI Inference deployment
Agentic frameworks

Location

US, California, Santa Clara
US, Arizona, Phoenix
US, California, Folsom
US, Oregon, Hillsboro
US, Texas, Austin

Work Type

Hybrid
Experienced Hire

Experience Level

Senior
10+ years of product management, product engineering, or technical marketing experience
3+ years of dedicated product leadership within deep learning, LLMs, generative AI stacks, or accelerated computing

Education Level

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline.
MBA or advanced technical degree is highly preferred

Salary/Compensations

$160,980.00-265,870.00 USD

Benefits

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits

About the Company

Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices.

Equal Opportunity

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.