Systems Engineer, VAST Data
Database
AI operating system
Open for applications
AI operating system
1001+ employees
Open for applications
1001+ employees
Company mission
To empower intelligent agents to store, think, communicate, and act.
Role
Who you are
- 7+ years in pre-sales or systems engineering supporting enterprise software sales
- Deep technical expertise in database technologies (SQL, NoSQL, data warehouses, vector databases)
- Strong understanding of distributed systems, database architectures, and data platform design
- Experience with AI/ML data pipelines, analytics workloads, and real-time data processing
- Proven ability to design and execute technical proof-of-concepts with enterprise customers
- Excellent presentation and communication skills with technical and business audiences
- Knowledge of storage systems, distributed architectures, and high-performance computing
- Experience selling into UK enterprise accounts (FTSE 250/350, large enterprises >1,000 employees)
- Database technologies: SQL, PostgreSQL, MongoDB, Redis, ClickHouse, or similar
- Data platforms: Snowflake, Databricks, or cloud data warehouse experience
- Storage architectures: NAS, object storage, distributed file systems
- Analytics tools: Understanding of BI platforms, data science workflows, and ML pipelines
- Performance analysis: Benchmarking tools (FIO, etc.) and system tuning
- Infrastructure: Linux/Unix administration, networking fundamentals, virtualisation
Desirable
- Experience with UK public sector (NHS, central government, higher education)
- Understanding of life sciences, financial services, or media/entertainment data workflows
- Knowledge of containerisation (Kubernetes, Docker), high-performance networking, and enterprise security
- Hands-on experience with Spark, Trino, or other query engines
- Familiarity with cloud platforms (AWS, Azure, Google Cloud) and hybrid architectures
- Understanding of UK GDPR, data sovereignty, and compliance requirements
- Experience working with systems integrators and technology partners
- Ability to work across EMEA time zones and support regional opportunities
What the job involves
- We're seeking a highly technical Systems Engineer to partner with our Database Sales team across the UK and EMEA
- You'll be the technical authority on VAST Database, driving customer success from initial engagement through proof-of-concept and post-sales expansion
- This is a customer-facing pre-sales role where you'll translate complex technical requirements into compelling solutions, conduct technical presentations and demonstrations, and establish yourself as a trusted technical adviser to CDOs, CTOs, and data platform leaders
- Partner with Account Executives to develop and execute technical sales strategies for VAST Database solutions
- Deliver compelling technical presentations and architecture blueprints to C-level executives and technical decision-makers
- Design and lead proof-of-concept implementations, including performance benchmarking and system configuration
- Articulate VAST's value proposition for transactional databases, data warehouses, data lakes, and vector search workloads
- Conduct competitive analysis and position VAST Database against solutions from Snowflake, Databricks, MongoDB, and other database vendors
- Collaborate with Product Management and R&D to influence product roadmap based on customer requirements
- Create repeatable solution architectures and technical documentation for the UK/EMEA market
- Build relationships with systems integrators and technology partners to drive joint solutions
- Support post-sales technical success to enable account growth and expansion opportunities
Salary benchmarks
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.
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