Top Tech Jobs & Startup Jobs in NYC, NY

YesterdaySaved
Remote
United States
125K-165K Annually
Mid level
125K-165K Annually
Mid level
Information Technology
Own and scale the company’s compliance, security, privacy, and IT programs. Manage SOC 2, ISO 27001 readiness, GDPR and EU AI Act processes, access controls, vendor assessments, audits, policies, remediation, IT asset lifecycle, equipment provisioning, and employee helpdesk support. Partner with Engineering and Infrastructure on cloud security, vulnerability management, backups, incident response, and system documentation.
Top Skills: Cloud InfrastructureEu Ai ActGdprGoogle WorkspaceIso 27001Mobile Device Management (Mdm)Soc 2Vanta
13 Days AgoSaved
Remote
United States
150K-200K Annually
Entry level
150K-200K Annually
Entry level
Information Technology
Build and maintain versioned data ingestion and conflation pipelines that transform complex retail and spatial data into accurate, reliable insights. Responsibilities include entity resolution, golden-record creation, rules-based normalization, RegEx logic, LLM integration, schema evolution, and cost-effective scaling. The role emphasizes engineering rigor, high-fidelity outputs, and production-ready data for consumer dashboards.
Top Skills: Computer VisionData PipelinesData SchemasGisLidarLlmsPrompt EngineeringRegexSpatial ComputingWearable Ai
Reposted One Month AgoSaved
Remote
United States
150K-190K Annually
Mid level
150K-190K Annually
Mid level
Information Technology
Build end-to-end front-end tooling and active-learning agents for a spatial CV platform. Train and deploy lightweight CV models, create pre-labeling and annotation systems, design planogram and spatial interfaces, and iterate rapidly to deliver intuitive visual workflows for researchers and non-technical users.
Top Skills: GisLidarOpencvPythonPyTorchReactTensorFlowThree.JsTypescriptWebgl
Reposted One Month AgoSaved
Remote
United States
225K-235K Annually
Expert/Leader
225K-235K Annually
Expert/Leader
Information Technology
Lead and scale a multidisciplinary engineering organization building real-time, AI-driven spatial computing applications. Define technical strategy, oversee architecture, ensure platform scalability and reliability, collaborate cross-functionally, and cultivate engineering culture and talent.
Top Skills: Ai/MlArBackendCloud ArchitecturesComputer VisionFirmwareFrontendFull-Stack DevelopmentHardwareMl Model DeploymentMrRoboticsSensor FusionSpatial Ai
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