Top Tech Jobs & Startup Jobs in NYC, NY

Manages the full lifecycle of technology operations projects across infrastructure, cloud, networks, service delivery, and security. Responsibilities include defining scope, schedules, budgets, risks, and deliverables; coordinating distributed IT teams; overseeing testing and go-live activities; preparing executive reports; supporting change management; maintaining documentation; and ensuring compliance with firm policies and security standards.

Manage strategic institutional accounts for water treatment programs and services, driving revenue and profit growth. Develop sales strategies, convert competitive accounts, recommend system improvements, analyze customer operations, and provide written recommendations. Build relationships with executives and key stakeholders, stabilize at-risk business, and coach district representatives. The role requires less than 25% overnight travel, residence near New York, NY, and regular company-vehicle use.

Build, train, evaluate, and deploy production machine learning and LLM systems for legal document intelligence. Develop NLP solutions for information extraction, summarization, search, AI agents, and document analysis. Create scalable ML pipelines, evaluation frameworks, and reliability metrics while optimizing model performance. Collaborate with engineering, product, legal, data, and security teams to deliver secure AI capabilities and translate business problems into production solutions.

Own full-cycle recruiting for the marketing organization, including role kickoffs, sourcing, candidate experience, process improvement, and offer acceptance. Partner with marketing leaders and hiring managers to hire across product marketing, demand generation, growth, content, brand, and events. Build targeted candidate pipelines, manage multiple searches, and develop expertise in AI infrastructure and technical products while maintaining a high hiring bar.

Design social, email, advertising, web, mobile, and merchandise assets while exploring creative directions and presenting solutions. Collaborate with design, product, and marketing teams, take guidance from design leads, manage multiple projects, and gain hands-on experience across the brand design process.

Provide technical support to NVIDIA Enterprise customers by triaging and resolving issues, working with engineering on reproductions/logs, applying AI/ML and agentic AI to build support tools and products, documenting interactions and knowledge, and owning cases to resolution (occasional weekend/holiday support).

Lead the Edge continuous-improvement program across the organization: own strategy and roadmap, lead a team of practitioners, run Kaizen and Problem Solving events, diagnose workflow waste, coach and train leaders on DBS/Lean tools, drive Policy Deployment and Daily Management, and deliver measurable performance improvements using analytics and reporting.

Provides strategic coordination and execution support to the Chief Advancement Officer across fundraising campaigns, donor strategies, communications, Board engagement, and organizational initiatives. Leads cross-departmental planning, tracks goals and deliverables, prepares executive reports, develops performance dashboards, supports donor cultivation, and manages high-priority projects and campaign materials.

Designs and develops data engineering, business intelligence, ETL, datamart, and dashboard solutions using Cloudera, Tableau, Spark, and related technologies. Analyzes data quality and business metrics, builds data infrastructure and analytics tools, supports Data Science platforms, improves cluster computing, and collaborates with business and engineering teams. Provides training, mentors interns, and promotes secure, reliable data practices.

Leads multiple product engineering pods, overseeing roadmap delivery, technical standards, architecture, deployments, hiring, and team development. Partners with Product, QA, and business stakeholders to ship customer-facing software, establish iterative delivery models, and scale engineering operations. Maintains hands-on technical expertise while coaching engineering managers and senior engineers. Drives adoption of AI-assisted software development practices and reports delivery health, risks, and performance to senior leadership.