Top Tech Jobs & Startup Jobs in NYC, NY

Manages lighting and grip equipment rentals for film and television productions. Responsibilities include customer and vendor relations, order processing, inventory ownership, equipment testing, warehouse coordination, sub-rental sourcing and negotiation, deliveries, billing documentation, and resolving equipment or order issues. The role also supports warehouse team training, maintains accurate customer records, and ensures timely payments and minimal equipment downtime.

Supports Production & Operations Finance through budgeting, forecasting, reporting, variance analysis, monthly close coordination, capital planning, facilities space allocations, financial modeling, allocations, and ad hoc analysis. Partners with operations, FP&A, controllership, and project management teams to resolve financial questions, improve models, track expenses, and maintain finance documentation.

Manages multiple distribution operations projects from scoping through completion, coordinating stakeholders, milestones, documentation, reporting, workflow optimization, and operational handoff. Builds data-driven reports, supports onboarding and training, maintains training programs and matrices, and improves communication, monitoring, resiliency, and alignment across Distribution, Product, and Engineering teams.

Define and lead the architecture of NBCUniversal’s greenfield Microsoft Fabric enterprise data platform. Establish lakehouse, warehouse, integration, real-time streaming, data modeling, governance, security, DevOps, and observability standards. Translate architecture and business objectives into delivery roadmaps, epics, stories, and implementation plans while guiding multidisciplinary engineering teams. Design scalable solutions combining operational, historical, master, and reference data to support reporting, analytics, automation, AI, and reusable data products.

Designs and operates governance, security, deployment, monitoring, and cost-management frameworks for enterprise AI platforms. The role builds semantic models in Snowflake and Databricks, develops CI/CD and infrastructure-as-code solutions, enables multi-environment deployments, monitors AI reliability and usage, and implements auditability, responsible AI standards, RBAC, identity controls, and policy enforcement. It also partners with data and engineering teams to manage lineage, governed metrics, model operations, and cloud consumption across AI workloads.

Develop high-performance C++ software for machine learning, computer vision, inverse procedural modeling, and 3D content generation. Apply linear algebra, probability, and geometry to large-scale geospatial datasets. Collaborate with leadership on product requirements, manage code with Git, deploy and test on remote Unix-based systems, and contribute to research-driven computer graphics and gaming applications.

Design, develop, and maintain high-performance Go-based software for global VOD, live, and linear streaming delivery. Build reliable services for dynamic ad insertion and manifest manipulation, partner with SRE on highly available multi-region systems, use observability and analytics for performance and incident analysis, and contribute to multi-CDN strategies, architecture, code reviews, and engineering standards.

Supports budgeting, forecasting, monthly close, financial modeling, variance analysis, allocations, accruals, headcount reporting, purchase order management, and executive reporting for Engineering Finance. Partners with operational and cross-functional teams globally, maintains financial processes, and improves reporting and analysis to support business decisions.

Supports and enhances HR technology applications focused on SuccessFactors Recruiting and Onboarding. Responsibilities include requirements gathering, stakeholder and vendor collaboration, SuccessFactors configuration, reporting, testing, authorization design, project execution, production support, release adoption, and optimization of SAP HCM and SaaS HR solutions. The role also develops RICEF specifications, coordinates automation and engineering enhancements, and provides after-hours deployment and support coverage.

Owns GenAI-powered product areas from discovery through delivery and iteration. Translates technical capabilities and stakeholder needs into product requirements, user stories, roadmaps, and scalable media workflow solutions. Partners with engineering, data science, program management, vendors, and business stakeholders to evaluate model quality, cost, performance, and latency. Conducts product testing, manages post-launch improvements, presents metrics and recommendations, and mentors junior Product Managers.