Product Manager – AI Software and Solution

Responsibilities

• Define and own 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, out‑of‑the‑box (OOTB) software solutions (cloud, hybrid, and on‑premises) that enable seamless AI deployment.
• Lead strategy for modular AI software architectures, focusing on industry‑compliant microservices, heterogeneous 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 offerings, licensing, and product packages that drive high‑volume adoption.
• Foster strong relationships with Cloud Service Providers, emerging “Neoclouds,” Independent Software Vendors, and the open‑source AI community (e.g., Hugging Face, PyTorch, LangChain).
• Deliver developer‑friendly reference architectures, deployment blueprints (Docker Compose, Kubernetes Helm Charts, Terraform), and system telemetry integrations.
• Work closely with technical documentation and developer relations 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 and engineering backlogs.
• Coordinate with simulators, emulation, and validation teams to ensure software readiness prior to hardware tap‑out (shift‑left methodologies).

Qualifications

• Education: Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a highly technical quantitative discipline (MBA or advanced technical degree 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 – AI Software Knowledge: Direct experience with GPU software stacks from middleware to frameworks to Agentic toolkits.
• Preferred – AI System Design: Proven track record of productizing Retrieval‑Augmented Generation (RAG) applications, Agentic AI, vector databases (e.g., Milvus, Redis, Qdrant), or complex AI orchestration frameworks.
• Preferred – Enterprise Software Delivery: Experience with AI inference deployment and Agentic frameworks.
• Preferred – Thriving in Ambiguity: Ability to manage multiple complex, matrixed workstreams and drive alignment among diverse technical and business stakeholders globally.

Benefits

We offer a total compensation package that ranks among the best in the industry. It includes competitive pay, stock bonuses, and benefit programs such as health, retirement, and vacation.

Pay

Annual salary range for U.S. locations: $160,980 – $265,870 USD. Individual pay is determined by work location, skills, experience, and education.

Schedule

This role follows a hybrid work model, allowing employees to split time between on‑site at their assigned Intel site and off‑site.

Primary location: Santa Clara, CA. Additional locations include Phoenix, AZ; Folsom, CA; Hillsboro, OR; and Austin, TX.