Top Tech Jobs & Startup Jobs in NYC, NY

Lead data strategy for large 2D and 3D media datasets used in production machine learning. Coordinate with ML, annotation engineering, and technical program management teams; translate project goals into actionable data specifications; oversee dataset curation, filtering, and processing; and ensure data integrity, representativeness, and quality through analysis and inspection.

Lead end-to-end product development for Medallion data products and AI agentic workflows. Prototype and build AI capabilities alongside engineering, manage 2-3 business unit engagements, define roadmaps, prioritize reusable solutions, track adoption metrics, and drive cross-functional standards for data governance and responsible AI.

Lead product strategy and delivery for enterprise-scale data platforms and analytics, including data governance, semantic modeling, AI readiness, vendor evaluation, and executive stakeholder engagement to drive adoption and measurable OKRs.

Manage media traffic control processes, troubleshoot systems, oversee project installations, and lead teams while collaborating with various departments.

Leads analytics product strategy and AI solution development for Studio Distribution. Defines roadmaps, aligns data models and KPIs, prioritizes AI opportunities, and delivers scalable BI capabilities across distribution lines. Partners with business, product, engineering, finance, sales, and data science teams to improve commercial decision-making, data reuse, and adoption. Manages a globally distributed analytics product team and establishes delivery accountability.

Design, develop, and maintain high-performance Go-based software supporting VOD, live events, linear streaming, dynamic ad insertion, and manifest manipulation. Build highly available, fault-tolerant services across multi-region and multi-CDN environments. Partner with SRE, use observability and performance analytics for troubleshooting, contribute to architecture and technical direction, and collaborate with globally distributed engineering teams.

Serve as financial and strategic partner to technical leadership, owning budgeting, forecasting, variance analysis, and financial reporting for Product, AI, and Engineering. Support ERP modernization, develop financial tools and processes, lead core finance rhythms, prepare monthly operating reviews, coach junior staff, and collaborate with adjacent units to drive efficiencies, balance-sheet stewardship, and long-range planning.

Source, aggregate, and manage geospatial data (imagery, vector, point clouds) for AI/ML pipelines. Build automation and preprocessing tools (e.g., GDAL, Python) to align, reformat, and postprocess datasets. Partner with AI/ML, pipeline, and product teams to ensure data quality, coverage, and readiness for model development and region rollouts.

Build and scale infrastructure for large 2D/3D media datasets; design CI/CD and continuous training pipelines for multimodal models; implement data versioning and storage for reproducibility and high-throughput access; deploy monitoring and observability systems; coordinate cross-functionally with ML, annotation engineers, and TPMs.

Build and maintain geospatial data sourcing and automation for AI/ML pipelines. Research and acquire imagery, vector, and point cloud data; preprocess, align, and reformat datasets using open-source tools. Partner with AI/ML, pipeline, and product teams to supply diverse, high-quality geospatial data and contribute to internal tooling and data postprocessing.