Solutions Engineer Jobs in San Francisco, USA

Looking for a solutions engineer job in San Francisco (SF)? Choose from 7 open roles at 2 employers. Explore real salary data and skills breakdown across remote, hybrid and on-site roles.

7 Open roles
2 Companies hiring

Companies hiring Solutions engineers in San Francisco

The market for Solutions engineers in San Francisco

In the week to 27 September, 7 solutions engineer roles were open in San Francisco at 2 employers. 6 new roles were posted during the week.

Among the solutions engineer roles listed on the board for San Francisco, the large majority sit at lead level, with a small minority at manager level. There are no entry-level or mid-level postings among those stating a seniority. Postings are spread across the past two months, with the largest share appearing within the most recent two weeks and meaningful portions arriving in each subsequent window; nothing was added in the last seven days. All roles listed here are concentrated among a small number of employers, which means the active hiring pool is narrow at this moment. AWS is mentioned in most descriptions, APIs in about half, and a cluster of AI-specific capabilities — including TensorFlow, agents, computer vision and statistics — each appear in roughly two-fifths of postings.

How recently the open roles were posted

This week 0
Last week 0
Two weeks ago 2
Three weeks ago 2
One to two months ago 1
Two to three months ago 2
Earlier 0

Figures are measured every Monday.

What do Solutions engineers in San Francisco work on?

A solutions engineer works at the boundary between a technical product and the customers or partners who adopt it. The day-to-day involves diagnosing integration challenges, building proof-of-concept implementations, running technical discovery sessions and supporting sales or partnership teams through complex evaluations. In San Francisco, this role frequently sits close to AI and data platform products: companies such as Databricks and the major AI labs headquartered in the city regularly need people who can translate model capabilities into working customer deployments. The density of enterprise software, cloud infrastructure and AI tooling companies in the city means solutions engineers here tend to work across API integrations, cloud environments and, increasingly, large-language-model or agent-based workflows.

San Francisco office, hybrid or remote?

On-site working accounts for the overwhelming majority of the roles listed here that state a work mode, with a small minority described as hybrid. No roles are listed as fully remote. This pattern is consistent with the expectation that solutions engineers in San Francisco attend customer meetings, internal product sessions and, in some cases, the kind of in-person founder and partner events that organisations such as Y Combinator hold regularly in the city.

Make your application specific to the work

  1. Read the full description carefully Solutions engineer postings vary considerably in the product domain they cover — cloud infrastructure, AI platforms, enterprise software — so confirm that the technical environment described matches your hands-on experience before applying.
  2. Prepare a concrete integration example Employers in this space typically ask candidates to walk through a real deployment or proof-of-concept they have built, so have a clear narrative ready that covers the problem, the technical approach and the outcome.
  3. Demonstrate cloud and API familiarity AWS and API work appear in the majority of descriptions on the board, so be ready to discuss specific services, authentication patterns or integration architectures you have worked with directly.
  4. Show awareness of AI tooling A significant share of postings mention agents, LLMs, computer vision and frameworks such as TensorFlow, so even if your background is not primarily in ML, being able to discuss how these capabilities are applied in customer contexts will strengthen your candidacy.

Questions about Solutions Engineer jobs in San Francisco

The role centres on helping customers or partners adopt a technical product successfully. That typically means running discovery calls to understand a customer's architecture, building small proof-of-concept integrations, presenting technical findings to mixed audiences and working closely with product and sales colleagues throughout an evaluation cycle.

The two titles are closely related and often used interchangeably. Both sit at the technical edge of a commercial process. Some organisations distinguish them by whether the work is pre-sales focused or extends into post-sales implementation support, but many companies use solutions engineer as the broader label covering both phases.

The roles currently listed on the board are concentrated among a small number of employers. San Francisco is home to the headquarters of organisations including Anthropic, Databricks and Salesforce, all of which operate in spaces — AI, data platforms and enterprise software — where solutions engineering is a common function.

Based on the roles listed here, on-site working is by far the most common arrangement, with a small number of hybrid positions. This reflects the expectation in the city that customer-facing technical roles often involve in-person meetings and collaboration.

AWS knowledge is mentioned in most of the descriptions on the board, making cloud fluency a strong baseline. Familiarity with APIs, machine-learning frameworks such as TensorFlow, and an understanding of agent-based AI systems are each mentioned in a notable share of postings, reflecting the AI and data platform focus of many SF employers.

Jobs checked 11 hours ago.