Top Tech Jobs & Startup Jobs in NYC, NY

Lead Advanced Services capabilities for enterprise AI data platforms and production AI. Architect data preparation, retrieval, embeddings, vector, knowledge, and model-integration solutions; guide customers through discovery, prototypes, pilots, and production deployments. Address evaluation, observability, governance, resiliency, lifecycle management, and operational readiness. Partner with pre-sales, engineering, delivery teams, customers, and partners to validate AI approaches, influence product direction, and convert successful innovations into scalable services.

Leads technical pre-sales activities for enterprise storage solutions across SLED accounts in the Northeast. Partners with sales teams, account managers, channel partners, and customers to develop architectures, conduct evaluations and benchmarks, deliver technical presentations, respond to RFPs, and secure technical wins. Provides expertise in storage, networking, cloud-native architectures, Linux, virtualization, containers, and distributed systems while supporting competitive positioning and new business growth.

Leads strategic services selling and technical solution consulting for major Americas accounts. Builds executive relationships, identifies services opportunities, develops transformation strategies, proposals, statements of work, and business cases, and guides opportunities from qualification through delivery transition. Advises customers on infrastructure modernization, migration, automation, lifecycle management, operational readiness, and risk reduction while coordinating sales, engineering, delivery, finance, legal, and partner teams.

Own global strategic accounts and lead complex, multi-country sales cycles. Develop account strategies, penetrate new business lines, engage C-suite stakeholders, build TCO and ROI business cases, negotiate large technology transactions, maintain pipeline and forecast accuracy, and drive adoption of innovative data platform solutions across enterprise customers.

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.

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.

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.

Customer-facing pre-sales Cloud Native Architect for Portworx, providing deep technical and business expertise for running stateful applications on Kubernetes across on-prem, hybrid, and multi-cloud environments. Drive technical strategy, demo/solution design, and influence customers and partners. Provide guidance on Linux, Kubernetes, cloud IaaS, DevOps tooling, and data platform operations; travel regionally as needed.

Design and operationalize governed enterprise data platforms, data products, data contracts, lakehouse systems, and streaming pipelines. Establish authoritative data sources across CRM, MDM, and ERP systems, lead CX transformation architecture, deliver production data models and pipelines, advise enterprise customers on modern data architectures, and productize validated internal and field innovations into scalable customer offerings.

Build and scale governance-as-code across enterprise data systems, automating policy enforcement, sensitivity classification, access controls, data contracts, and compliance verification. Partner with architecture, security, privacy, legal, and engineering teams to protect data integrity and support AI adoption. Apply internal governance practices to customer advisory engagements, including maturity assessments, executive workshops, and guidance on AI-era data risk.