AI Product Manager Jobs in San Francisco, USA

Looking for an AI product manager job in San Francisco? Choose from 229 open roles at 64 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

229 Open roles
64 Companies hiring
277K Average salary

What do AI product managers in San Francisco work on?

The sample titles and summaries show how varied these roles are in practice. At one end, the Research Product Manager, Model Behaviors at Anthropic sits at the intersection of alignment research and product, defining Claude's behavioural defaults and working closely with safety and research teams. At the other end, a Product Manager, Hardware at Stripe owns a multi-year roadmap for physical payment devices and third-party partnerships. Between those extremes, roles like Senior Product Manager, AI Agents Experience and Senior Product Manager, AI Studio at Asana focus on enterprise adoption, workflow automation, and roadmap ownership. The Staff Product Manager, Internal AI role at Plaid is oriented toward deploying AI tools for internal teams rather than external customers. Across all these, common threads include cross-functional collaboration, roadmap definition, and translating ambiguous technical capabilities into shipped product decisions.

Skills and experience employers ask for

Skills figures reflect mentions in posting descriptions across the full set of postings on this page, not stated requirements. Agents and APIs appear most frequently, followed by evaluation methodologies and A/B testing. LLMs and SQL appear in a meaningful minority. Cloud platforms, TypeScript, React, and Python appear in a small fraction. The sample is limited to postings currently listed, so patterns may shift as new roles are added or removed.

Agents 40%
APIs 30%
Evaluation 27%
A/B testing 24%
Go 18%
LLMs 18%
SQL 10%
AWS 5%
Fine-tuning 5%
GCP 4%
Azure 4%
TypeScript 4%
React 3%
Reinforcement learning 3%

AI Product Manager roles that state a salary

The employers' own advertised ranges, for individual roles at different levels — not an average and not a market rate.

San Francisco office, hybrid or remote?

Most postings in this set specify onsite work in San Francisco. A smaller share state hybrid arrangements, and a minority are listed as fully remote. No postings had an unknown work mode. Candidates should check individual postings for specifics: hybrid schedules, onsite expectations, and remote eligibility vary by employer and are not uniform across companies even within the same organisation. Whether remote roles require US residency or particular states is not stated in the fact pack.

Make your application specific to the work

  1. Read the full job description Several of these roles have overlapping titles but meaningfully different scopes — for instance, agent-facing roles differ substantially from internal tooling or hardware positions. Read each description in full before deciding whether to apply.
  2. Match your AI experience specifically Many postings mention agents, evaluation, and LLMs in their descriptions; where you have direct experience shipping products in those areas, make it concrete and specific in your application materials rather than describing general product management work.
  3. Note seniority and stated minimums Sample summaries reference minimum years of experience explicitly — five-plus or six-plus years appears in several — so check the stated experience band for each role before applying to avoid mismatches.
  4. Confirm work mode before applying Most roles on this page are listed as onsite; if you are applying to one of the hybrid or remote-listed roles, verify the specific arrangement directly with the employer, as terms like 'hybrid' are not standardised across companies.

Questions about AI Product Manager jobs in San Francisco

Work varies considerably across these postings. Some roles involve shaping model behaviour and working alongside research and safety teams, others own roadmaps for enterprise automation products, and some focus on consumer-facing features or internal AI tooling. Hardware product management also appears in the sample, though it is a minority.

Advertised pay ranges appear in a minority of postings on this page. Among those that do disclose pay, ranges differ substantially by employer and role — from around 180,000 dollars at the lower end of some Sierra postings to over 500,000 dollars at the upper end of certain OpenAI listings. These are individual advertised ranges for specific roles, not city-wide benchmarks. The majority of postings do not state pay at all.

The majority of postings on this page state onsite work. A smaller portion state hybrid, and a minority are listed as fully remote. No postings had an unstated work mode, but individual hybrid and remote arrangements vary and should be confirmed with each employer.

Agents is the most frequently mentioned skill across postings on this page, followed by APIs and evaluation. A/B testing and LLMs also appear in a significant share. SQL, cloud platforms, and specific coding languages such as TypeScript or Python are mentioned in a smaller fraction. These are description mentions, not formal requirements.

Mid-level and lead roles make up the largest portions of postings on this page, with senior roles also well represented. Director-level postings are present but uncommon, and junior roles appear in only a very small number of cases. Most postings are therefore aimed at candidates with several years of product management experience already.

Jobs checked 7 hours ago. · Guide reviewed 9 September 2026.