VAST Data

HQ
New York
Total Offices: 5
848 Total Employees
Year Founded: 2016

VAST Data Benefits Overview

Compensation + Benefits

Offers company equity

Offers dental insurance

Offers vision insurance

Offers health insurance

Offers life insurance

Career Growth + Development

Provides customized development tracks

Job training & conferences

Work-Life Balance + Wellbeing

Offers generous PTO

Provides paid sick days

Provides paid holidays

Company Culture

Offers a remote work program

Recently posted jobs

2 Days AgoSaved
Remote
United States
Artificial Intelligence • Software
Drive new customer acquisition for VAST Data’s AI and analytics platform. Build pipeline through strategic prospecting, account-based selling, executive engagement, and partner relationships. Manage complex enterprise sales cycles from discovery and technical evaluation through negotiation, closing, and expansion. Engage data, analytics, AI, engineering, and executive stakeholders while developing account plans, forecasting pipeline, and translating technical capabilities into business outcomes.
2 Days AgoSaved
Remote
United States
Artificial Intelligence • Software
Owns technical strategy and field success for VAST deployments on partner hardware, especially EBox. Architects and sizes infrastructure solutions, defines performance expectations, validates deployment readiness, leads complex troubleshooting, and supports strategic customer engagements. Partners with Sales Engineering, Support, Engineering, Product, and OEM teams to develop custom solutions, deployment plans, repeatable architectures, and best practices for enterprise storage and software-defined infrastructure.
Artificial Intelligence • Software
Win new enterprise business across Eastern Europe and the Baltics, with Poland as the anchor market. Prospect directly into large accounts, carry quota, develop business cases, run full-cycle sales, collaborate with partners and solution engineers, and convert initial deals into long-term customer relationships. The role requires enterprise technology sales experience, data platform or AI infrastructure credibility, business and technical selling ability, strong self-sufficiency, and fluent Polish and English.