Product Manager – AI Software and Solution

We need to output HTML fragment with sections: About the role? The posting includes Job Description, Key Responsibilities, Qualifications (Minimum, Preferred), Benefits, Pay (Annual Salary Range), Work Model (Shift? Actually Work Model: hybrid). Also location info maybe not needed as heading? The instructions: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Use

• for any list of duties/requirements/benefits, and

  for prose. Do NOT repeat the job title as a heading. Do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short

  or drop it. Preserve ALL substantive information; do NOT invent or summarize away detail. Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. IMPORTANT: include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text (e.g. "commensurate with experience", "not specified", "N/A", "varies", "TBD") and never create Pay/Schedule/Benefits sections unless the posting actually states them. Prefer a few substantive sections over many thin ones. We need to decide which sections to include: About the role (maybe from Job Description paragraph), Responsibilities (Key Responsibilities), Qualifications (Minimum Qualifications and Preferred Qualifications), Benefits (Benefits paragraph), Pay (Annual Salary Range), Work Model (maybe Schedule? Actually they said Schedule heading for schedule info; we have Work Model hybrid; could put under Schedule? But they said use Schedule heading for schedule info. Could treat Work Model as Schedule? Might be better to have a section "Work Model" but not in list of allowed headings; they gave examples but not exclusive. They said use

  for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we can use those headings; we can also add others if needed but better to stick to those. Work Model could go under Schedule? Not exactly. Could treat as Schedule (work model). But they said never create Pay/Schedule/Benefits sections unless posting actually states them. The posting states Work Model hybrid, so we could put under Schedule heading. Or we could create a separate section "Work Model" but that's not in examples; risk. Safer to put under Schedule. Also location info maybe minor metadata; we could fold into a short

  after About the role. We need to remove boilerplate: EEO statement, Position of Trust N/A, Additional Information about RBA, etc. Also remove "Job Type Experienced Hire Shift Shift 1 (United States of America)" maybe minor metadata; we can fold into a short p. We need to preserve all substantive information: responsibilities list, qualifications, benefits, pay range, work model. We need to use

  • for any list of duties/requirements/benefits. So responsibilities list should be
    • . Qualifications maybe also list? Could be
      • for minimum and preferred? Might be better to have two subsections? But we can keep as prose? The instruction: Use
        • for any list of duties/requirements/benefits. So if we have a list, we must use ul/li. For qualifications, we have bullet-like sentences but not explicitly list; we could keep as

          . But we could also convert to list for clarity. Safer to keep as

          for qualifications unless we see clear list. The qualifications paragraph includes multiple sentences; we can keep as

          . Benefits: paragraph describing total compensation package; we can keep as

          . Pay: we have Annual Salary Range; we can put as

          maybe under Pay heading. Schedule: we have Work Model hybrid; we can put as

          under Schedule heading. We also need to include location info maybe as a short p after About the role. Let's extract substantive content: Job Description paragraph: "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." That's About the role. Key Responsibilities: list bullet points under headings: Portfolio Strategy and Roadmap Ownership (with subpoints), Competitive Positioning and Market Intelligence, Developer and Partner Enablement Ecosystem Growth, Cross-Functional Collaboration Engineering Alignment, Shift-Left Methodologies. We need to preserve all details. Could flatten into a single list of responsibilities, but we might lose subheadings. However we can keep subheadings as

          ? Not allowed? Only h3 for section headings. Could embed subheadings as within

          . That's okay. We'll create

          • each responsibility item, preserving details. Let's extract each bullet: Under "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. Under "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. Under "Developer and Partner Enablement Ecosystem Growth": - 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. Under "Cross-Functional Collaboration Engineering Alignment": - 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. We could combine Shift-Left Methodologies under Cross-Functional Collaboration? Actually it's separate heading but we can keep as separate li. Now 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. We could keep as

            paragraphs. 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." Pay: "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." Schedule/Work Model: "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." We could include that as Schedule. Location info: "Primary Location: US, California, Santa Clara Additional Locations: US, Arizona, Phoenix, US, California, Folsom, US, Oregon, Hillsboro, US, Texas, Austin". Could be minor metadata; we can fold into a short p after About the role. Now we need to output only HTML fragment, no html/body tags, no markdown fences. We'll structure:

            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.

            Primary Location: US, California, Santa Clara. Additional Locations: US, Arizona, Phoenix; US, California, Folsom; US, Oregon, Hillsboro; US, Texas, Austin.

            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.
            • Portfolio Strategy and Roadmap Ownership: 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.
            • Portfolio Strategy and Roadmap Ownership: Agentic and Microservices Ecosystem: Lead the strategy for modular AI software architectures, focusing on industry compliant microservices, Hetro frameworks, and Agentic AI toolkits.