Jobs / United States / Astera Labs INC

Astera Labs INC

Principal AI Product Manager

San Jose, California, United States Posted today

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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 63 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.
  • 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.
  • What Astera Labs INC paid sponsored hires in similar roles1 certified filing for “Director of Product Management” (Sales Engineers) in CA: $200k–$200k, median $200k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 63 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 Astera Labs INC paid sponsored hires in similar roles
1 certified filing for “Director of Product Management” (Sales Engineers) in CA: $200k–$200k, median $200k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

About the role

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com . Principal AI Product Manager: About the role Astera Labs’ Applied AI team works to accelerate business outcomes through the use of AI as the company scales. We’re seeking a Principal AI Product Manager to set direction and lead execution for AI-enabled products and workflows used across the business. You’ll connect business priorities and user needs to a clear product strategy, then guide cross-functional teams from opportunity discovery through delivery, adoption, and measurable results. This is a senior, hands-on product leadership role. You’ll lead discovery, prioritization, requirements, and execution across business and technical teams, while staying close enough to the technology to prototype, assess trade-offs, and guide responsible implementation. The focus is on creating scalable solutions that solve meaningful business problems—not deploying AI for its own sake. What you’ll do • Own the strategy, portfolio, and multi-quarter roadmap for Applied AI products and workflow solutions, aligned to company priorities and business outcomes. • Partner with business leaders and end users to identify high-value opportunities, understand current workflows, quantify pain points, and validate product hypotheses. • Prioritize opportunities using a clear framework that considers user value, business impact, feasibility, risk, dependencies, scalability, and time to value. • Translate needs into product vision, requirements, user journeys, success measures, and appropriately scoped delivery plans. • Lead cross-functional execution with Applied AI, engineering, IT, security, data, and business partners; align owners, decisions, dependencies, milestones, and trade-offs. • Stay hands-on with AI tools and rapid prototyping, using platforms such as Glean, Claude Code, and approved automation tools to test concepts and inform product decisions. • Set standards for product quality and evaluation, including accuracy, reliability, user experience, adoption, and human review where appropriate. • Establish and track outcomes such as adoption, time saved, cycle-time reduction, quality, user satisfaction, and business impact; use results to refine roadmaps and investment choices. • Guide launch, change management, enablement, documentation, and feedback loops so solutions are adopted and sustained. • Embed privacy, security, responsible AI, access controls, and appropriate human oversight throughout discovery, design, development, and rollout. • Communicate product strategy, progress, risks, and recommendations clearly to senior leaders and working teams; build alignment when priorities or perspectives differ. • Improve repeatable product practices for AI discovery, prioritization, evaluation, delivery, and adoption as the Applied AI function scales. What we’re looking for • Bachelor’s degree in business, computer science, engineering, information systems, or a related field, or equivalent practical experience. • 10+ years of relevant experience in product management,

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