Jobs at VAST Data

Defines and markets integrated technical solutions between VAST and technology alliance partners. Creates reference architectures, whitepapers, solution briefs, deployment guides, demonstrations, and enablement materials. Serves as a technical subject matter expert for sales, partners, and enterprise customers; supports RFPs, campaigns, training, events, and webinars. Collaborates with product, engineering, alliance, and partner teams to shape messaging, validate solutions, gather customer insights, and influence product direction.

Lead product marketing strategy for high-performance computing customers, including positioning, messaging, go-to-market initiatives, customer research, content development, thought leadership, campaigns, and customer advocacy. Collaborate with sales, marketing, partners, and cross-functional teams to communicate product value, support launches, develop customer stories, and track marketing KPIs.

Partner with account executives to develop technical sales strategies, architect enterprise AI and data platform solutions, conduct demonstrations and proofs of concept, and guide deployment planning. Advise customers on distributed storage, Kubernetes, hybrid cloud, data lakes, analytics, AI/ML infrastructure, and cloud-native architectures. Translate technical requirements into scalable solutions while collaborating with Product Management and Engineering to influence platform development.

Lead VAST Data’s global cloud marketing strategy across hyperscalers, neoclouds, and sovereign cloud providers. Build the global neocloud program, drive joint go-to-market initiatives, shape product positioning, lead executive evangelism, oversee cloud product marketing, coordinate demand generation, and manage marketing investments. The role also involves building a high-performing global cloud marketing function and connecting marketing programs to partner adoption, pipeline, and revenue growth.

Serve as a trusted technical advisor for enterprise and strategic customers, leading technical sales processes from discovery through deployment planning. Design and present infrastructure solutions for AI, analytics, cloud, HPC, virtualization, and enterprise workloads. Deliver demonstrations, workshops, and proof-of-concept engagements; translate customer requirements into platform architectures; and collaborate with Product, Engineering, Customer Success, and Sales teams to drive customer outcomes.

Manage full-cycle recruitment for global R&D and technical roles, primarily in the US. Partner with hiring managers to define candidate profiles, develop sourcing strategies, attract and evaluate technical talent, guide interviews and offers, and ensure a strong candidate experience. Provide insights into US technology talent markets, compensation trends, and hiring practices while collaborating across global time zones.

Develop and manage higher education and SLED accounts, build executive relationships, drive complex sales cycles, generate revenue through channel partners, and close strategic opportunities. The role includes prospecting, proposals, proof-of-concept coordination, account expansion, and post-sale relationship management. Candidates should understand public-sector procurement and funding, exceed quotas, develop new territories, communicate with technical and business stakeholders, and have knowledge of NFS, object storage, enterprise computing, Salesforce.com, and Microsoft Office.

Develops revenue across higher education and SLED accounts by building executive relationships, managing complex sales cycles, partnering with channel organizations, presenting proposals, prospecting large accounts, and closing business. The role also supports post-sale expansion and requires knowledge of public-sector procurement, funding processes, storage technologies, and enterprise computing architectures.

Designs, validates, deploys, and troubleshoots scalable enterprise storage and data infrastructure solutions. Partners with customers, Sales, Engineering, Product, and Support to create architectures, technical demonstrations, proofs of concept, implementation plans, and performance benchmarks. Supports Kubernetes, cloud, virtualization, networking, operating systems, and enterprise applications while resolving complex technical issues, developing automation, documenting solutions, and communicating customer requirements and feedback.

Provides first-line technical support for hardware, software, operating systems, networks, user accounts, and company applications. Responsibilities include onboarding and offboarding employees, managing access permissions, administering collaboration and conferencing tools, handling IT procurement and inventory, documenting solutions, maintaining support records, and training users. The specialist supports Windows, macOS, JumpCloud, Google Workspace, Atlassian applications, Slack, and Zoom Rooms.

Hunt and close net-new enterprise accounts within the Internet and SaaS vertical. Build strategic account plans, develop executive and technical relationships, sell VAST’s AI operating system and data platform, lead complex sales cycles, manage forecasting through MEDDPICC, and expand initial wins across customer workloads. Partner with sales engineering, product, channel, and technology partners to deliver outcomes.

Designs reference architectures for AI infrastructure networks, including L2/L3 fabrics, BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; conducts interoperability and performance testing; reproduces customer issues; and diagnoses congestion, packet loss, MTU, latency, PFC, and ECN problems. Collaborates with vendors and internal engineering teams to convert findings into validated configurations, automation, documentation, and product improvements.

Designs reference architectures for AI and data center networks, including BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; tests interoperability and performance; reproduces customer issues; and diagnoses routing, congestion, packet loss, MTU, and latency problems across GPU, fabric, and storage paths. Documents best practices, develops automation, collaborates with vendors and internal teams, and feeds findings into product development.

Designs and validates data center network architectures for AI infrastructure, including BGP, EVPN/VXLAN, RoCEv2, QoS, and RDMA fabrics. Builds qualification labs, tests switches, NICs, and network operating systems, investigates performance and interoperability issues, troubleshoots congestion and packet loss, and develops documented standards, automation, and product feedback for customer deployments.

Designs AI infrastructure network architectures, including BGP, EVPN/VXLAN, RoCEv2, and QoS fabrics. Builds and operates validation labs, qualifies switches, NICs, and network operating systems, and troubleshoots complex GPU-to-storage networking issues involving congestion, packet loss, MTU, latency, PFC, and ECN. Documents reference designs, develops automation, reproduces customer issues, collaborates with vendors and internal engineering teams, and provides findings that improve the VAST platform.

Designs reference architectures for AI data center networks, including L2/L3 fabrics, BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; performs interoperability and performance testing; reproduces complex customer issues; and troubleshoots congestion, packet loss, MTU, latency, PFC, and ECN behavior. Documents best practices, develops automation, collaborates with vendors and internal teams, and provides feedback to product R&D.

Provides post-sales technical support for enterprise storage customers, resolving and escalating issues, managing technical operations, and supporting installations, upgrades, break-fix work, and expansions. Builds customer relationships, manages bugs and feature requests, supports account teams, and meets SLAs and KPIs. Requires expertise in storage, networking, Linux administration, file systems, scale-out NAS, Bash scripting, and customer-facing technical operations.

Drives revenue for VAST Data’s federal cloud offering by prospecting enterprise accounts, managing channel partners and sales cycles, presenting proposals, closing business, and expanding customer relationships. The role requires quota achievement, territory development, account expansion, business and technical customer engagement, and knowledge of storage technologies including NFS and object storage. Candidates need at least seven years of direct enterprise sales experience and proficiency with Salesforce and Microsoft Office.

Build autonomous, AI-driven quality infrastructure for a distributed AI data platform. Design Python frameworks and LLM-based agents that generate, execute, and self-correct tests; stress-test data integrity and multi-node failures; automate regression detection; and integrate intelligent evaluation pipelines into CI/CD. The role requires strong software engineering, distributed systems knowledge, Linux, containerization, and familiarity with LLMs and agentic development.

Forward Deployed Engineer embedded with strategic customers to design and operate large-scale data infrastructure, troubleshoot distributed systems and networking issues, develop automation and APIs, and translate deployment challenges into product improvements. The role requires deep expertise in storage, Linux internals, high-performance networking, Python and C/C++, plus customer-facing communication and up to 25% travel.