Customer Success Jobs in San Francisco, USA

Looking for a customer success job in San Francisco? Choose from 20 open roles at 12 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

20 Open roles
12 Companies hiring
203K Average salary

What do Customer success and support in San Francisco work on?

Most titles in these postings centre on support engineering rather than traditional account management, reflecting the AI-product focus of the employers listed. Day-to-day work typically involves diagnosing API and integration failures, managing production incidents via ticket queues and live calls, and writing up escalations for engineering teams with enough context to reproduce a problem.

Several roles are domain-specific: OpenAI's Biosciences posting requires a background in computational biology alongside the usual support-engineering skills, while the Government posting asks for familiarity with security and compliance requirements and states that US citizenship is needed. Lightning AI's platform role focuses on ML workloads running on Kubernetes and GPU infrastructure, debugging distributed-training and inference issues. Cognition's posting emphasises root-cause analysis across cloud, CI/CD, and container environments. The OpenAI weekend-shift posting covers the same scope as the standard role but on a different schedule. IT support titles in the sample lean toward internal tooling, executive support, and application administration.

Skills and experience employers ask for

Python and API knowledge appear in a large majority of the 21 postings, making them the clearest common thread across this small sample. SQL, Kubernetes, and agent-related concepts each appear in roughly a quarter of postings, while LLM familiarity, cloud platforms, and container tooling appear in fewer. Because the sample is limited, these counts reflect what employers chose to mention in descriptions, not a ranked list of strict requirements.

Python 80%
APIs 60%
Kubernetes 30%
LLMs 25%
AWS 25%
GCP 25%
Agents 20%
SQL 20%
Azure 15%
TypeScript 15%
Evaluation 10%
Docker 10%
GPUs 10%
Java 10%

Customer Success roles that state a salary

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

San Francisco office, hybrid or remote?

The majority of postings in this set are listed as onsite, with a smaller portion stating hybrid arrangements. A minority explicitly offer remote work. None have an unstated work mode in these postings. Where hybrid is stated, at least one posting specifies early Pacific start times, which is worth checking in the full job description. Candidates should read each posting carefully, as onsite expectations and any flexibility around them are not elaborated beyond the mode label for most roles.

Make your application specific to the work

  1. Check the technical depth expected Years of experience and specific domain knowledge vary considerably across these postings, from infrastructure and ML workloads to biosciences or government compliance. Read the full description before applying to confirm the background being sought matches yours.
  2. Note any eligibility requirements At least one posting states a citizenship requirement; others may have conditions not captured in the summaries here. Verify eligibility criteria in the employer's full posting before investing time in an application.
  3. Prepare technical examples relevant to the role Given the emphasis on debugging, incident management, and API troubleshooting across most postings, having concrete examples of production issues you have diagnosed and resolved end-to-end will likely be relevant to most interview processes here.
  4. Apply directly through the employer Each listing links to the employer's own application. Submit through that channel to ensure your application is tracked correctly, and keep a note of the role title and location as several employers have multiple similar postings with different specialisms or shifts.

Questions about Customer Success jobs in San Francisco

Only a minority of postings on this page advertise pay. OpenAI's AI Support Engineer postings state a range of 180,000 to 260,000 USD, and the Senior Support Engineer posting states 234,000 to 260,000 USD. Plaid's Technical Support Engineer states 73,872 to 110,000 USD. The remaining postings do not state pay, so those figures cannot be compared here.

Visa sponsorship is not stated in the fact pack for any posting on this page. One posting explicitly requires US citizenship. You would need to check each employer's full job description or contact them directly to find out their sponsorship position.

A small number of postings on this page are listed as remote. The majority are onsite, with a few listed as hybrid. Where remote or hybrid is available, any conditions or location constraints are not always elaborated, so it is worth reviewing the full posting.

Most roles in this set are engineering-grade in their requirements. Python and API troubleshooting appear across the majority of postings, and several roles ask for experience with Kubernetes, cloud platforms, distributed systems, or ML workloads. Traditional account management or non-technical support experience alone is unlikely to be sufficient for most postings shown here.

The employers listed in these postings include OpenAI, Anthropic, CoreWeave, Cognition, Lightning AI, LangChain, Glean, Sigma Computing, and Plaid, among others. OpenAI and Anthropic account for the largest share of postings visible here.

Jobs checked 5 seconds ago. ยท Guide reviewed 9 September 2026.