Sales Engineering Leader, VAST Data
Enterprise Analytics & AI
AI operating system
Job no longer available
AI operating system
1001+ employees
Job no longer available
1001+ employees
Company mission
To empower intelligent agents to store, think, communicate, and act.
Role
Who you are
- The ideal candidate will have deep experience in data analytics, AI/ML, and enterprise software sales, with a passion for solving complex business challenges through innovative technology solutions
- 10+ years of experience in sales engineering, solution architecture, or technical pre-sales roles in the analytics, AI, or enterprise software space
- 5+ years of leadership experience managing and scaling high-performing technical pre-sales teams
- Strong understanding of enterprise data platforms, data warehouses, data lakes, and analytics architectures
- Hands-on expertise in query engines such as Spark, Trino, vector databases, and retrieval-augmented generation (RAG) is required
- Proven ability to drive technical engagements with C-level executives and business stakeholders
- Excellent communication and presentation skills, with the ability to articulate complex technical concepts to non-technical audiences
- Experience working with enterprise sales teams in complex, consultative sales cycles
- Bachelor's degree in Computer Science, Engineering, or a related field; MBA or equivalent experience preferred
Desirable
- Experience with AI/ML frameworks, data engineering, and big data technologies
- Knowledge of regulatory and compliance considerations in AI and data analytics solutions
- Hands-on experience with data science tools, visualization platforms, and model deployment workflows
What the job involves
- We are seeking an experienced and strategic Sales Engineering Leader to drive our Enterprise Analytics and AI sales initiatives
- This individual will lead a high-performing team of sales engineers, providing technical expertise, solution consulting, and pre-sales support to enterprise customers
- Lead and mentor a team of Sales Engineers, fostering technical excellence and customer-centric engagement
- Develop and execute sales engineering strategies to support the company’s Enterprise Analytics and AI growth objectives
- Partner closely with Sales, Product, and Customer Success teams to align technical solutions with customer needs
- Drive technical pre-sales activities, including product demonstrations, proof-of-concepts (PoCs), and solution architecture discussions
- Establish best practices for customer engagements, ensuring technical validation and alignment with business outcomes
- Collaborate with marketing and product teams to create compelling technical content, case studies, and sales enablement materials
- Stay abreast of industry trends, competitive landscape, and emerging technologies in analytics, AI, and enterprise software
- Influence product roadmap and innovation by gathering feedback from customer engagements and market trends
- Own key customer relationships, serving as a trusted advisor in analytics and AI-driven digital transformation initiatives
- Drive revenue growth by supporting complex sales cycles and ensuring the technical win in enterprise deals
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 behind held back by infrastructure bottlenecks. And their platform delivers flash-speed performance, multi-protocol access, and enterprsie-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, allowsing global data access across on-prem and cloud environments using VAST DataSpace. 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.
Share this job
View 59 more jobs at VAST Data