Product Manager – AI Software and Solution

Intel Corporation

. Define and scale the product lifecycle, strategic vision, and execution roadmap for Intel's Data Center AI Software and customer experiences .

Posted 9/15/2026full-timeSanta Clara • Arizona • United StatesSeniorLead💰 $160,980 - $265,870 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management and engineering for AI software solutions, with a strong focus on cloud-native architectures, modular AI frameworks, and competitive market analysis. Proven ability to lead cross-functional teams and drive productization of advanced AI technologies.

Highest-signal resume keywords

Product ManagementAI Software SolutionsKubernetesDockerDeep Learning

ATS Keywords

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Hard Skills

Product Lifecycle ManagementAI Inference DeploymentMicroservices ArchitectureGPU Software StackRAG ApplicationsAgentic AIVector DatabasesComplex AI OrchestrationTechnical MarketingProduct Leadership

Soft Skills

CollaborationStakeholder ManagementStrategic VisionRelationship BuildingAlignment Driving

Tools & Technologies

Docker ComposeKubernetes Helm ChartsTerraformRed Hat OpenShiftAPISDK

Industry Keywords

Data CenterCloud-NativeEnterprise SoftwareAI DeploymentOpen-Source AI

Tech Stack

Tools & technologies

CloudDockerKubernetesMicroservicesOpenShiftTerraform

About the role

Key responsibilities & impact

Define and scale the product lifecycle, strategic vision, and execution roadmap for Intel's Data Center AI Software and customer experiences
Drive definition and productization of enterprise-ready turnkey software solutions for cloud, hybrid, and on-premises AI deployment
Lead strategy for modular AI software architectures, industry-compliant microservices, heterogeneous frameworks, and Agentic AI toolkits
Analyze competitor hardware/software stacks to identify market whitespace, software gaps, and value propositions
Collaborate with Product Marketing and Business Development on competitive software offerings, licensing, and product packages
Foster relationships with Cloud Service Providers, Neoclouds, Independent Software Vendors, and the open-source AI community
Deliver reference architectures, deployment blueprints using Docker Compose, Kubernetes Helm Charts, and Terraform, and system telemetry integrations
Partner with technical documentation and developer relations teams to improve API, SDK, and toolkit adoption
Partner with software engineering, AI researchers, and silicon architecture teams to translate customer challenges into PRDs and engineering backlogs
Coordinate with simulator, emulation, and validation teams to ensure software readiness before hardware tap-out

Requirements

What you’ll need

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 Kubernetes and Red Hat OpenShift
Practical understanding of 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, or complex AI orchestration frameworks
Experience working with AI Inference deployment and Agentic frameworks
Ability to manage multiple complex, matrixed workstreams and drive alignment among diverse technical and business stakeholders globally

Benefits

Comp & perks

Competitive pay
Stock bonuses
Health benefits
Retirement benefits
Vacation benefits
Hybrid work model allowing employees to split time between working on-site and off-site