Jobs / United States / Intel Corporation
Product Manager – AI Software and Solution
Intel Corporation · 🇺🇸 5 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Intel Corporation paid sponsored hires in similar roles139 certified filings for “Software Engineer” (Software Developers) in CA: $144k–$178k, median $156k. Most were filed at wage level III (52%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Sponsor Radar — Intel Corporation
The US Department of Labor certified 1,731 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 1,112 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Intel Corporation →
About the role
Job Details: 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