Top Tech Jobs & Startup Jobs in NYC

Facilities Project Manager responsible for handling large and small-scale projects within the NBCUniversal real estate portfolio in NY and NJ. Responsibilities include coordinating resources, ensuring project delivery on time and within budget, managing project scope changes, and tracking project costs and cash flow.

The Senior Business Systems Analyst at NBCUniversal's Video Platform Software Engineering organization focuses on Ad Sales technology. Responsibilities include providing user support, troubleshooting systems, managing defects, analyzing processes, and collaborating with teams to improve efficiency. Qualifications include 6+ years of experience in Ad Sales systems, troubleshooting, SQL, and customer interactions.

Principal Program Manager responsible for delivery and management of Partnerships and Backend Tools portfolio in the Direct-to-Consumer Commerce Product team. Lead product delivery, mentor program managers, ensure successful delivery, and communicate effectively with cross-functional teams and stakeholders. Utilize enterprise project management tools and work closely with Product leadership for planning and prioritization.

Seeking a highly skilled and driven Engineering Manager with expertise in CI/CD, AWS Computing Services, and DevOps. Responsible for leading and managing a team of engineers, driving automation processes, and ensuring high-quality solutions.

Seeking a Senior Product Success Manager to lead innovative experiences and support customers on adoption. Responsible for building best practices, content strategy, and fostering customer-centric solutions. Collaborate with internal and external teams to deliver adoption to customers and drive productivity-boosting cross-functional experiences.

ServiceNow is seeking a Global Partner Manager to lead the partnership with Infosys in the AMS market. Responsibilities include driving new business sales revenue, territory planning, forecasting, and collaborating with the partner Alliance team. The role aims to achieve $20B+ growth by enhancing partnerships and delivering exceptional customer experiences.

Seeking an experienced Machine Learning Infrastructure Engineer to develop, deploy, and manage scalable machine learning solutions within our tech stack. Responsibilities include designing tools and pipelines, orchestrating containerized ML applications, collaborating with data scientists, and ensuring the reliability and performance of ML models.

Join Brigit as a Senior Data Engineer to build data platforms, work with Analytics Engineering and Product teams, and lead data strategy and architecture. Responsibilities include data infrastructure development, collaboration, project management, process improvement, and best practices. Requires 6+ years of experience in Python and SQL, experience with data pipelines and cloud infrastructure, proficiency in dbt and analytics engineering, and familiarity with various data sources.

Join us as a Materials Science Force Field Intern at Schrödinger to develop accurate atomistic physics-based models applicable in materials science. Work on core force field optimization libraries, extend domain applicability, and optimize workflows. Competitive salary with catered meals and fun company events. Equal opportunity employer promoting diversity and inclusivity.

Lead the product vision and strategy of the Commerce division at Kargo, driving innovation in advertising and marketing technology. Manage a team of product managers and designers, stay ahead of market trends, and ensure products meet client needs and industry standards. Foster a culture of creativity, collaboration, and diversity.

The Data Scientist will be responsible for managing the full-cycle of fraud fighting, conducting research, devising techniques, supporting experiments, and actively participating in team responsibilities at HUMAN's Media Research team.

As a Business Intelligence Engineer, you will develop and maintain scalable data analytics solutions using Tableau, Snowflake, dbt, and Fivetran. Responsibilities include data modeling, ETL processes, data transformation, analytics and visualization, data governance, collaboration with stakeholders, and performance tuning.