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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.

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.

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.

Own end-to-end sourcing strategy for NAND, SSD, storage, and compute commodities. Lead supplier negotiations, strategic relationships, diversification, risk mitigation, cost modeling, benchmarking, and performance management. Partner with engineering, finance, and operations to influence technical roadmaps and sourcing decisions. Analyze market trends, manage shortages and escalations, report savings and risks to leadership, and travel 15–20% for supplier reviews and industry events.

Lead VAST Data’s business development strategy and strategic partnerships across the AI inference and accelerator ecosystem. Build relationships with compute, semiconductor, accelerator, cloud, and infrastructure companies; define joint technical and commercial value propositions; develop reference architectures, solutions, account strategies, co-selling motions, and enterprise go-to-market programs. Coordinate VAST’s sales, product, engineering, solutions, and marketing teams with partner organizations while evaluating emerging technologies and creating structure in an evolving market.

Own and expand VAST Data’s strategic go-to-market partnership with AMD. Build executive, product, alliances, and field relationships; develop joint solutions, reference designs, enablement, and positioning; activate AMD sellers to identify opportunities; connect field teams and generate pipeline; and coordinate internal product, engineering, sales, and technical stakeholders. The role may later expand to additional strategic hardware partnerships.

The Sales Director will develop and execute strategic sales plans for VAST Data’s data platform, expand the customer base, prospect for new business, manage executive relationships, demonstrate complex technical solutions, negotiate and close contracts, and provide forecasts and pipeline updates. The role collaborates with marketing, product management, and customer success, represents the company at industry events, tracks market trends, and serves as a brand ambassador.

Lead sales strategy and customer acquisition for VAST Data’s enterprise data platform across the West Coast. Responsibilities include prospecting, executive relationship development, technical product demonstrations, contract negotiation, deal closure, forecasting, and representing the company at industry events. The role requires strong knowledge of databases, storage, data management, and B2B enterprise sales, along with collaboration across marketing, product, and customer success teams.

Maintain accurate global sales and CRM data through proactive sales representative follow-up, Salesforce updates, audits, bulk corrections, Google Sheets tracking, and basic SQL analysis. Reconcile datasets across systems, enforce data-entry standards, resolve pipeline discrepancies, and provide clean data to Revenue Operations, Sales Analytics, Deal Desk, Finance, and sales leadership.

Support global sales teams through quoting and deal execution across the Quote-to-Cash lifecycle. Responsibilities include configuring quotes, managing pricing and discounts, coordinating cross-functional approvals, ensuring commercial compliance, training sales representatives, resolving deal blockers, and improving sales workflows, controls, cycle time, and data integrity.