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San Francisco, California, United States · On-site
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San Francisco, California, United States · On-site
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Act as a technical expert providing reactive and proactive support for VAST Data customers, handling technical operations and escalations. Responsibilities include performing installations, upgrades, and collaborating with engineering to resolve bugs and feature requests.
Requires 5+ years of experience in customer-facing roles with complex storage solutions and strong Linux administration skills. A degree in CS, CE, EE, or a related field is required, along with the ability to travel 20% of the time.
VAST Data is looking for a Customer Support Engineer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company’s growth and at a pivotal point in computing history.
As a Customer Support Engineering team you will be regarded as a VAST Data technical expert and, as such, you will be involved in daily technical operations and escalations. You will be a part of VAST “Flight Crew” for our customers, working with a small team of other Support Engineers and Success Managers to handle all post-sales activity for the customer.
The main responsibilities include responding to customer issues (reactive and proactive), evaluating the problem, using hands-on-keyboard skills to solve for the issue, and escalating to engineering with as much detail as possible when you can’t. You will also be involved in developing and testing and solutions in strategically and tactically significant applications and use cases, including file protocols, machine learning, object storage, and high-performance computing at customer sites and in the lab. You will work directly with customers, and various business functions: consulting pre-sales teams on technical sales activities, supporting Professional Services with onsite field activities and our engineering teams to solve technical problems.
The Operating System for the Thinking Machine.
The Operating System for the Thinking Machine. VAST delivers the first AI Operating System, natively unifying and orchestrating storage, database, and compute to unleash the true power of agentic computing and data-intensive applications.
Offices: VAST, US · 240 37th St, New York, NY 11101, US · 2510 Meridian Pkwy, Durham, North Carolina 27713, US · 33 N 1st St, Campbell, California 95008, US
Based on 2242 listings with disclosed salaries, most data & analytics jobs in San Francisco, CA pay between $125k–$278k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,790 open data & analytics positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, UCSF Department of Anesthesia and Perioperative Care, Salesforce, Williams-Sonoma, Inc., Anthropic, among others. Browse the listings above to see every active employer.
Yes — 1705 of the 2790 open data & analytics positions offer remote or hybrid work (379 remote, 1326 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
