Top Tech Jobs & Startup Jobs in NYC, NY

Build and deploy production machine-learning systems within client environments, covering data discovery, modeling, validation, deployment, scheduling, monitoring, and retraining. Develop forecasting and detection models for imperfect time-series data, establish honest evaluation and KPI frameworks, and ship usable APIs or interfaces. Work directly with client IT and data teams through discovery, demos, and feedback cycles. The role also involves data engineering, software development, basic cloud and DevOps work, and advising clients when ML is not appropriate.

Provides executive and operational support to the founders, managing calendars, inboxes, travel, leadership meetings, action items, hiring coordination, candidate pipelines, finance coordination, market research, marketing support, and ad-hoc projects. The role begins with administrative execution and expands into cross-functional project management, process design, and strategic initiative support. It requires high autonomy, discretion, sound judgment, strong communication, ownership, and the ability to organize a fast-paced startup environment.

Lead and deliver Workday implementations with a focus on integrations. Design, build, test, and deploy Workday Studio integrations using Core Connectors, PECI, EIBs, and XSLT. Collaborate with business and technical stakeholders and own end-to-end integration lifecycle from requirements through production deployment.

Develops and deploys machine learning systems for high-stakes decisions in pricing, claims, underwriting, and predictive health. Responsibilities span problem framing, quantitative research, experimentation, causal inference, predictive modeling, multimodal and foundation model development, agent systems, production deployment, and ongoing iteration. The role requires strong mathematical and statistical foundations, Python fluency, and expertise in machine learning, statistics, econometrics, or causal inference.

Build and ship P-1 AI’s core product platform for Archie, an AI engineering agent. Own end-to-end features spanning architecture, backend, frontend, deployment, and reliability. Collaborate with AI researchers, forward-deployed engineers, founders, and customers to rapidly prototype, launch, and refine product concepts. Establish advanced AI-assisted development practices and continuously improve engineering workflows, product quality, and delivery speed.

Build and validate AI-native tooling for utility power-engineering and go-to-market teams. The role combines customer discovery, workflow analysis, Python and SQL development, data investigation, prototypes, integrations, debugging, and production-quality software. You will partner with Product and Engineering, dogfood tools on live customer problems, define requirements and quality standards, lead rollout and adoption, train users, and establish the company’s forward-deployed engineering operating model. Regular customer and U.S. team travel is required.

Own customer infrastructure support tickets from initial response through resolution while meeting SLAs. Diagnose Linux-based GPU cluster issues, troubleshoot access, storage, networking, containers, drivers, billing, and account problems, and coordinate escalations. Execute and improve runbooks, document solutions, maintain customer and internal documentation, communicate clearly under pressure, and participate in on-call coverage across time zones.

Implement and manage marketing automation tools, design and execute email campaigns, analyze campaign ROI, support go-to-market product launches, collaborate cross-functionally, and explore automation opportunities to improve efficiency and performance.

Drive sales growth for LG IT solutions across the Central Region through consultative selling, territory planning, account development, and partner collaboration. Build enterprise and commercial customer relationships, manage opportunities from discovery through close, coordinate pricing and forecasting, maintain Salesforce pipeline data, and achieve revenue and sales objectives. The role involves executive engagement, customer presentations, trade shows, and approximately 70–75% regional travel.

Drive business development for Divert’s Industrials team across the Northeast. Responsibilities include market discovery, industrial customer mapping, pipeline development, stakeholder engagement, solution creation, deal closing, customer onboarding, and transition to Customer Success. The role requires collaboration with Marketing, RevOps, Product, Operations, and Customer Success while supporting revenue growth and sustainability-focused infrastructure programs.