Top Tech Jobs & Startup Jobs in NYC, NY

Own Canary’s self-check-in kiosk from specification through deployment, including hardware design reviews, consultant and factory management, payment-terminal integration, PCI certification, fulfillment, staging, installation logistics, spare parts, and returns. The role performs hands-on hardware review work initially, travels to factories and hotel properties, and builds the hardware team as the function grows.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Own the architecture, operation, and reliability of Helios’s distributed execution platform. Build and optimize queues, schedulers, autoscaling, storage, search, long-running agent workflows, and cross-cloud pipelines. Manage GovCloud and air-gapped deployments, CI/CD, compliance, observability, tenant isolation, and infrastructure for sensitive customer environments. The role requires strong expertise in distributed systems, resource-aware scheduling, concurrency controls, performance optimization, and mission-critical reliability.

Own product and application security for an AI assistant handling sensitive data and autonomous actions across email, calendars, documents, Slack, and CRM systems. Responsibilities include threat modeling agent behavior, securing data pipelines and cloud infrastructure, hardening OAuth integrations, implementing encryption and access controls, establishing a secure development lifecycle, and leading incident response. The role partners closely with engineering and requires in-person work five days per week in San Francisco.

Protects enterprise data across cloud and on-premises environments by designing and operating DLP, classification, encryption, rights management, and AI data leakage controls. Investigates incidents, monitors SIEM/CASB/DLP alerts, supports insider-threat response, conducts risk assessments, maintains audit evidence, and contributes to AI governance. Develops PowerShell, Python, and KQL automation while integrating controls into CI/CD, SaaS onboarding, and identity workflows.

Leads the mechanical engineering domain for robotic recovery products, owning mechanical architecture, system integration, design, analysis, prototyping, validation, cost reduction, manufacturability, and production transfer. The role establishes CAD, FEA, tolerance, and design-review standards; partners with electrical, firmware, controls, suppliers, and contract manufacturers; mentors engineers; and supports technology roadmaps. Regular travel to the NYC office and supplier or manufacturing engagements, including international travel, is required as needed.

Design and implement AI-powered image and video generation workflows for creative production. Collaborate with artists to integrate open-source generative models, 3D inputs, fine-tuned diffusion models, LoRAs, and ComfyUI features. Develop custom nodes and Python utilities for data processing and workflow automation while translating AI research into practical applications for film, commercial, and immersive experiences.

Supports influencer marketing campaigns through campaign tracking, deadline monitoring, creator communication, content and compliance reviews, launch readiness, community management, reporting preparation, cross-market coordination, and status updates. Maintains organized trackers and documentation, identifies missing or delayed deliverables, escalates sensitive issues, and helps ensure creator content meets campaign requirements.

Lead technical presales activities for data, software, analytics, and AI solutions. Conduct customer discovery, translate business and scientific needs into use cases and architectures, deliver tailored demonstrations, develop proposals, and support proofs of concept and pilots. Advise customers on LLMs, RAG, agents, knowledge graphs, and responsible AI while collaborating with Sales, Product, Professional Services, and Marketing teams to ensure feasible, scalable solutions.

Support client relationships, increase engagement with research and data products, activate new users, identify upsell opportunities, advocate for client needs, and develop sales and account management expertise. The role focuses on helping investment professionals gain value from existing products while contributing to revenue growth and progressing toward an Account Manager position.