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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.

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.

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.

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.