Top Tech Jobs & Startup Jobs in NYC, NY

Develop and execute tests for a Manufacturing Execution System, focusing on batch calculations, production metrics, data transformations, integrations, and end-to-end manufacturing workflows. Validate results against requirements and source data, document defects, perform regression testing, maintain traceable test documentation, and report coverage and defect metrics while collaborating with manufacturing, business, development, and quality teams.

Owns the full customer lifecycle from discovery and technical workshops through demos, POCs, ROI modeling, integrations, implementation, go-live, and production handoff. Builds sandboxes, architecture diagrams, simulations, and reusable technical assets while partnering with Product, Engineering, and CSM. Requires strong customer-facing communication, scripting and API skills, enterprise architecture fluency, and comfort managing complex pilots and ambiguous processes.

Lead development of high-performance Rust parsers, compilers, automata, indexes, and data structures for structured language-model generation. Optimize decoding-loop performance through profiling and benchmarking, integrate Python bindings and C++/CUDA components into inference engines, collaborate across teams, and maintain production-quality code through testing and CI/CD.

Design and develop electromagnetic warfare and spectrum operations software, including data models, RF propagation integrations, C2 and sensor APIs, AI-assisted coding workflows, and deployments across cloud, on-premises, and edge environments. Demonstrate software to customers, translate feedback into requirements, document and test solutions, mentor developers, and support agile delivery. The role requires an active US Top Secret/SCI clearance and travel to customer sites.

Build and manage Tempo’s infrastructure stack, improve developer velocity and experience, maintain blockchain, validator, and explorer reliability, and support enterprise validator onboarding. The role involves production bare-metal and cloud environments, Kubernetes, infrastructure as code, observability, Linux, networking, security hardening, troubleshooting, and tooling development using Rust, Go, or Python.

Leads revenue systems and operations initiatives across sales and RevOps, mapping commercial processes and converting requirements into AI-powered prototypes and scalable production solutions. Owns and improves the GTM technology stack, including automation and data management, while partnering with developers and senior stakeholders. Applies AI to automate work, improve productivity, and measure business impact across lead management, forecasting, CPQ, and order fulfillment.

Manage and optimize a multi-account AWS environment supporting production healthcare applications and analytics platforms. Responsibilities include AWS infrastructure administration, CI/CD and infrastructure automation, observability, incident response, on-call support, disaster recovery validation, HIPAA/HiTrust compliance, IAM and security controls, and support for containerized Java and Python applications. The role also contributes to Kubernetes and EKS modernization initiatives and partners with developers to resolve complex production issues.

Manages core business systems including NetSuite, HubSpot, Microsoft 365, and related SaaS tools. Oversees user access, permissions, integrations, data quality, reporting, security, and vendor relationships. Builds workflow automations using low-code tools, evaluates practical AI applications, supports staff technology adoption, maintains IT policies and continuity plans, and troubleshoots system issues across a remote organization.

Own internal tools and automation products supporting sourcing, purchasing, cost tracking, invoicing, and fulfillment. Discover workflows, define data and ownership standards, inspect operational data with SQL, map integrations, and partner with engineers on automation and AI-assisted workflows. Manage roadmaps, requirements, releases, adoption, training, migration, controls, and measurable operational outcomes in a fully remote environment.

Own shared AI platform components and build production AI features, including LLM orchestration, prompt workflows, evaluation, observability, and deployment. Develop scalable SaaS backend systems, APIs, data pipelines, search, background processing, and PostgreSQL solutions. Lead CI/CD and AI tooling adoption, establish technical direction, mentor engineers, and translate ambiguous requirements into reliable systems.