AI Product Manager Jobs in Mountain View, USA

Looking for an AI product manager job in Mountain View? Choose from 25 open roles at 7 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

25 Open roles
7 Companies hiring
โ€” Average salary

What do AI product managers in Mountain View work on?

The roles on this page span a wide band of product domains. Several sit squarely in autonomous vehicle development: one role at Waymo focuses on reliability evaluation across hardware platforms and driving conditions, while others cover fleet optimisation, simulation, and pickup and dropoff systems. At the platform and tooling end, a Databricks role asks a PM to own the full roadmap for an agentic AI runtime and evaluation framework, and a Glean role centres on public APIs, SDKs, and developer partnerships. Google's postings lean toward consumer-facing AI: one shapes AI-powered educational experiences in Search, another designs ad formats inside AI Mode and AI Overviews, and a third covers 3D mapping and AI capabilities. Across the sample, day-to-day work typically involves defining roadmaps, running experiments, collaborating with engineering and cross-functional partners, and translating technical constraints into product decisions.

Skills and experience employers ask for

Skills counts reflect mentions in posting descriptions across the full set of roles on this page, not formal requirements in every case. Large language models and APIs appear in roughly half the postings, and agentic workflows in close to half, suggesting these are common themes rather than universal demands. A Master's degree is mentioned in a meaningful minority of postings. Technical skills such as SQL, Python, and statistics appear far less frequently, though the sample is small enough that absence does not mean they are irrelevant to a given role.

LLMs 48%
APIs 44%
Agents 40%
Master's degree 28%
Evaluation 24%
A/B testing 24%
Go 16%
Statistics 16%
SQL 12%
Python 8%
RAG 8%
Computer vision 4%
Recommender systems 4%
CI/CD 4%

Mountain View office, hybrid or remote?

All postings on this page state either onsite or hybrid; none is listed as remote. Most are onsite, with a notable share designated hybrid. Where a posting says hybrid, the specific split of in-office days is not stated in the fact pack. Candidates should check individual postings or ask at interview for the precise arrangement. Given that most roles are onsite, proximity to Mountain View appears to be a practical consideration for the majority of these positions.

Make your application specific to the work

  1. Read the full posting AI product manager roles here vary significantly in domainโ€”from autonomous vehicles to developer platforms to consumer searchโ€”so confirm the technical area and seniority level match your background before applying.
  2. Check stated experience thresholds Several sample summaries specify minimum years in product management and, separately, years taking technical products to launch; gather evidence from your own history that maps to both dimensions.
  3. Prepare for technical depth questions Given the frequency of LLMs, APIs, and agentic workflows in these descriptions, be ready to discuss your direct experience with those technologies, even if your role was not purely engineering.
  4. Note degree requirements per posting Some postings explicitly state a bachelor's degree as a requirement and a minority mention a Master's; eligibility criteria differ by role, so verify directly in each posting rather than assuming a single standard applies.

Questions about AI Product Manager jobs in Mountain View

No. Every posting on this page is listed as either onsite or hybrid; none is marked remote.

None of the postings on this page advertise a pay range, so there is no salary information available here to compare.

The employers with postings on this page are Waymo, Glean, Databricks, Google, Nuro, NewsBreak, and ID.me.

Those topics appear in a large share of the postings on this page, so familiarity with them is relevant for many of these roles, though not every posting mentions them. Review each description individually.

Mid-level positions make up the largest seniority group in these postings, with senior roles the next most common. Lead, director, and junior levels each appear in a much smaller number of postings.

Jobs checked 11 hours ago. ยท Guide reviewed 9 September 2026.