AI Product Manager Jobs in San Jose, USA

Looking for an AI product manager job in San Jose? Choose from 21 open roles at 6 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

21 Open roles
6 Companies hiring
โ€” Average salary

What do AI product managers in San Jose work on?

The titles on this page range from Product Owner and Staff Product Manager through to Principal Product Manager, reflecting mostly lead-level scope. Domain focus varies considerably: some roles centre on AI and agent infrastructure, others on data security, cloud reliability, sovereign cloud, payments, risk platforms, or TV operating systems.

At OKX, the AI Infrastructure role involves owning the full lifecycle of AI and agent products, from conception through launch, working closely with engineering, design, and analytics. At Veeam Software, the Graph and Reporting role centres on translating knowledge-graph data into dashboards and audit-grade reporting for security teams. At Astera Labs, the Fiber Connectivity role spans optical product strategy, system integration, and commercial adoption for AI infrastructure hardware.

Across these postings, the common thread is owning a product roadmap end-to-end and coordinating across engineering, go-to-market, and customer-facing teams, though the technical depth required differs noticeably by domain.

Skills and experience employers ask for

Skills counts here reflect how often each term appeared in the posting descriptions, not formal requirements, and the sample is limited to these postings only. Cloud platforms โ€” AWS, Azure, and GCP โ€” appear most frequently, each mentioned across roughly a quarter of postings. APIs, a Master's degree, A/B testing, and evaluation frameworks appear in a meaningful minority. LLMs, SQL, agents, NLP, and Kubernetes each appear in only one or two postings.

AWS 24%
Azure 24%
GCP 19%
APIs 19%
Master's degree 19%
Agents 14%
Evaluation 14%
A/B testing 14%
LLMs 10%
SQL 10%
Go 10%
Kubernetes 5%
NLP 5%
Statistics 5%

San Jose office, hybrid or remote?

All postings on this page state a work mode explicitly: a majority are on-site, while the remainder are hybrid. No postings are listed as remote. For hybrid roles, the specific in-office cadence is not stated in the descriptions reviewed here. Candidates should confirm exact location expectations โ€” including which office or campus โ€” directly with each employer, as arrangements can differ even within the same company.

Make your application specific to the work

  1. Read the full job description Before applying, read each posting carefully because domain expectations vary widely โ€” hardware connectivity, cloud security, payments, and AI infrastructure each call for different backgrounds. Check the slug links on this page for summaries.
  2. Prepare a domain-matched CV Tailor your application to the specific product area: a role centred on AI agents or LLMs warrants different emphasis than one focused on graph data, compliance, or optical hardware.
  3. Check salary expectations in advance None of these postings advertise a pay range, so research independently or ask during screening, as compensation is not stated in any of the listings here.
  4. Confirm on-site requirements Most postings require on-site presence; contact the employer to understand the expected schedule and location before committing, as neither cadence nor specific office is stated in several listings.

Questions about AI Product Manager jobs in San Jose

Based on these postings, no. Every role states either on-site or hybrid; none are listed as remote.

None of the postings on this page advertise a pay range. You would need to ask the employer directly or research independently, as compensation is not stated in any listing here.

A Master's degree is mentioned in a minority of these postings. Most do not reference it, but the fact that it appears in some descriptions means it is worth reading each posting individually to understand what qualifications are stated.

The employers listed in these postings are Zscaler, OKX, The Trade Desk, Astera Labs, Adobe, and Veeam Software.

Cloud platforms โ€” AWS, Azure, and GCP โ€” appear most frequently across descriptions. APIs, A/B testing, and evaluation methods also come up in a notable share of postings. LLMs, agents, SQL, and Kubernetes are each mentioned in only one or two.

Jobs checked 2 days ago. ยท Guide reviewed 9 September 2026.