Top Tech Jobs & Startup Jobs

Manage customer relationships and account strategy across Upstate New York, leading team-selling efforts and strategic partnerships. Evangelize enterprise storage solutions, build customer relationships, lead pursuit teams, develop account plans, manage sales pipelines, and meet or exceed quarterly and annual quotas. The role requires new-logo acquisition, complex stakeholder sales, territory management, partner collaboration, and a strong history of exceeding quotas and generating $5–$10 million annually.

Lead and grow an engineering team building control-plane software for hyperscale storage. Drive architecture and execution for scalable, resilient distributed services (emphasizing Go), ensure CI/CD, testing, observability, and operational ownership, and collaborate with product, systems, hardware, QE, and customer teams to deliver production-ready capabilities.

Lead design and implementation of Product Master and MDM-driven SKU transformation and NPI enablement. Define end-to-end architecture, governance, and validation rules to ensure accurate product data flows between PLM, Product Master, ERP/CRM. Drive SKU rationalization, onboarding, and stewardship workflows to support rapid launches and maintain data integrity across systems.

Leads enterprise AI-focused sales campaigns across a regional territory, advising C-suite and technical AI buyers on data platform and infrastructure solutions. Partners with account executives, solution architects, engineers, product teams, GSIs, and channel partners to develop use cases, reference architectures, ROI frameworks, and joint go-to-market strategies. Owns pipeline discipline, forecasting, account planning, complex deal orchestration, and AI solution positioning for enterprise workloads.

Lead operational audits end-to-end to evaluate risk, test controls, and recommend process improvements. Use data analytics and AI tools to identify risks, produce clear reports, present findings to leaders, and partner with stakeholders to drive remediation and continuous improvement.

Develop high-fidelity virtual platforms and hardware models for SSD firmware development, including controller logic, PCIe, NVMe, and NAND behaviors. Build simulation instrumentation, automate CI/CD integration, profile performance, analyze failures, and validate firmware against ASIC RTL before silicon availability. Collaborate with firmware teams and ASIC vendors in an onsite agile engineering environment.

Own and operationalize master data governance for supply chain domains (items, BOM, sourcing, logistics) in SAP. Monitor data quality, manage exceptions, coordinate with external manufacturers, and define standards, workflows, and business rules with IT and cross-functional stakeholders to ensure reliable transactions and scalable data governance.

Designs and deploys complex Portworx and Kubernetes storage architectures for strategic customers across on-premises and cloud environments. Responsibilities include validating solutions, implementing storage and replication designs, testing failure scenarios, troubleshooting production rollouts, creating automation and documentation, training customer teams, and advising senior platform leaders. The role also captures product feedback, collaborates with Sales Engineering, Customer Success, and Support, and maintains customer relationships through periodic account visits.

Lead product marketing for Everpure Data Intelligence, owning positioning, messaging, go-to-market strategy, launches, content, sales enablement, partner training, analyst engagement, and customer advocacy. Translate complex data classification, security, governance, and metadata capabilities into compelling narratives for CDO, CISO, and infrastructure audiences. Collaborate with Product Management, Sales, and Corporate Marketing to accelerate enterprise adoption, pipeline, and revenue.

Lead commercial strategy and large-scale transformation initiatives across Sales, Marketing, Finance, and Operations. Build strategic roadmaps, optimize processes, drive automation and AI adoption, deliver data-driven insights, develop financial models and business cases, and program-manage cross-functional change to improve growth and operational efficiency.