Sales Engineering Leader, VAST Data
Enterprise Analytics & AI
All-Flash File and Object Storage solution
Job no longer available
All-Flash File and Object Storage solution
501-1000 employees
Job no longer available
501-1000 employees
Company mission
To bring an end to decades of complexity and application bottlenecks.
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
Data is changing. It floods into organizations with a volume and velocity previously unseen in enterprise IT. However, transforming that data into business-impacting insights stresses common storage systems that are based on archaic architectures. VAST Data's all-flash data platform addresses the challenges and compromises of scale, performance, efficiency and cost, to better meet the demands of today’s data-deluged and AI-powered enterprises in a new era of machine intelligence.
VAST's average customer manages approximately 12 petabytes of data with its technology. The company's average deal size is approximately $1 million, but it has several customers with over $10 million invested. The company more than doubled its customer base in 2021.
The company has found success across a range of verticals, from quantitative analysis to life sciences. The market for data platforms for deep learning is expected to become a $280 billion market by 2030, and since its Series E funding, VAST has the financial comfort to continue product development and refinement which will help it consolidate its impressive market-leading position.
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
Company benefits
- Health, vision and dental coverage including flexible spending accounts
- Work from home opportunities
- Unlimited vacation
Company HQ
Theater District, New York, NY
Leadership
Renen Hallak
(CEO)BA and an MSc in Computer Science. Prior to founding VAST, they led the architecture and development of an all flash array at XtremIO as VP of R&D.
Shachar Fienblit
(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
(VP of Products & CMO)Prior to Co-founding VAST, they were the SVP of Marketing at CTERA Networks and DDN Storage.
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