Customer Support Team Lead, VAST Data
$150.6-210k
More information about location
AI operating system
Be an early applicant
AI operating system
1001+ employees
Be an early applicant
$150.6-210k
More information about location
1001+ employees
Company mission
To empower intelligent agents to store, think, communicate, and act.
Role
Who you are
- Bachelors degree (U.S. or foreign equivalent) in Computer Science, Computer Information Systems, Electronic Engineering or related field and ten (10) years of experience in the job offered or related role
- Must have ten (10) years of experience with client protocol debugging including NFS, SMB and S3
- Must have ten (10) years of escalation management experience working with software developers
- Must have five (5) years of experience with: leading continuous process improvement initiatives to enhance system reliability, scalability, and performance; and preparing and presenting technical status reports, Key Performance Indicator dashboards, and risk assessments to senior leadership and external stakeholders
- Must have four (4) years of technical team leadership experience, including guiding and mentoring team members’ technical development
- Must have two (2) years of experience with: providing technical direction, task prioritization, and performance oversight for team members; and conducting resource planning, workload allocation, and capacity forecasting to support project execution
- Domestic travel required 20% of the time to customer sites
What the job involves
- Lead regional team of Customer Success Engineers in handling highly technical storage and large scale compute issues. Oversee the day-to-day operations of the customer support team, including ticket management, response times, and escalations utilizing published runbooks
- Develop and optimize support workflows, processes, and procedures to enhance efficiency and effectiveness
- Monitor support metrics and KPIs to track team performance, identify areas for improvement, and take corrective action. Support customers in configuration and issues faced daily, including identifying high visibility customer issues, and acting as a customer escalation liaison ensuring needed Customer Success and development engineers are engaged. Manage work schedules and workload distribution within the support team to ensure optimal coverage and responsiveness, including holidays and weekends
- Engage in review and discussion of support metrics and KPIs to assess support performance and identify areas for improvement. Advise on process enhancements to optimize support workflows, increase efficiency, and elevate the overall customer support experience. Prepare regular reports and dashboards on support performance, trends, and customer feedback
- Communicate support insights, challenges, and recommendations to key stakeholders, including senior management and leadership teams. Collaborate with other departments to share customer insights and contribute to product development and service enhancements. Collaborate with Product
- Development Engineers and Sales Engineering teams to identify areas of concern or enhancement for continuous product improvement using knowledge of market competition and customer use cases that are from both past and current experience
Our take
VAST Data is building what you might call the plumbing for the AI era - a purpose-built data platform that unifies storage, compute, and data services in a single, scalable system. With its disaggregated, shared-everything (DASE) architecture, it allows companies to scale their storage independently from compute, meaning AI workloads can grow without being held back by infrastructure bottlenecks. And their platform delivers flash-speed performance, multi-protocol access, and enterprise-grade reliability, all while keeping costs reasonable.
This architecture is especially relevant now, and the company has recently partnered with GMI Cloud as a key data infrastructure provider for GMI's ambitious new "AI factory" in Taiwan. The data centre is expected to house 7,000 NVIDIA Blackwell GPUS and will lean on VAST's exabyte-scale storage to handle data for model training, inference, and real-time processing.
On top of this, VAST has secured some major partnerships and deals that really position it strongly for the future of AI infrastructure. In November 2025, it struck a $1.17B agreement with CoreWeave, making VAST the primary data foundation for their GPU cloud. It also expanded its collaboration with Google Cloud to offer its AI Operating System as a fully managed service, allowing global data access across on-prem and cloud environments using VAST DataSpace. 2026 saw it complete a $1 billion Series F round that rocketed its valuation to $30 billion. These moves suggest VAST isn't just keeping up with AI demand but shaping the infrastructure that will power the next generation of large-scale, distributed intelligent systems.
Freddie
Company Specialist at Welcome to the Jungle
Insights
40% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Dec 2023
$118m
SERIES E
May 2021
$83m
SERIES D
Total funding: $381m
Leadership
Renen Hallak
(Co-Founder & CEO)BA and an MSc in Computer Science. Prior to co-founding VAST, they led the architecture and development of an all flash array at XtremIO as VP of R&D.
Shachar Fienblit
(Co-Founder & Chief R&D Officer)BSC in Computer Software Engineering. Prior to co-founding VAST, they were the VP of Engineering at Kaminario before being promoted to CTO.
Jeff Denworth
(Co-Founder)Prior to co-founding VAST, they were the SVP of Marketing at CTERA Networks and DDN Storage.
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