Top Tech Jobs & Startup Jobs in NYC, NY
Design and drive high priority, high visibility projects to increase analytics capabilities across multiple teams. Lead architectural decisions and collaborate with product teams to develop proof of concept capabilities.
As the Engineering Manager for the event management team, you will orient and manage a business critical engineering team to effectively function and modernize an internet-scale, complex pipeline that supports a fast-moving business.
As a Senior Product Manager - Data Observability, you will develop a deep understanding of data platforms and data engineering teams. You will co-define and build the next generation of data observability features and collaborate with other product teams to improve data correlation and customer incident identification. You will also partner with marketing and cross-functional teams to define Go-To-Market plans.
Lead a team of engineers in developing and maintaining key components for service-to-service communication. Drive the development of operational tools and improve service communication. Collaborate with other teams to align the team's roadmap with overall strategic goals.
Lead and grow the engineering team, building integrations with Google Cloud.
The staff data scientist will be responsible for identifying high impact business opportunities, developing and scaling machine learning models and pipelines, mentoring data scientists, and collaborating with stakeholders.
As the Senior Product Manager for Amazon Web Services (AWS) at Datadog, you'll own the vision, roadmap, and execution for observability on AWS. You'll work closely with a diverse set of customers to understand how they manage their AWS environments, what services they're using, and how Datadog can help them observe, govern, and operate their IT environments better.
Seeking a Staff Engineer to drive and collaborate on projects related to our Referential Data Platform. Responsibilities include designing and leading high-priority projects, providing technical leadership, and mentoring other engineers. Minimum 5 years of experience in a platform or infrastructure-focused environment required.
Engage with customers via multiple channels to identify and resolve technical support requests while educating clients on the use of the platform. Reproduce technical issues, lead demos, and provide product feedback.
As a Senior Data Scientist on the Large Language Models team, you will contribute to building powerful features within the Datadog application using advanced generative AI technologies. You will work on projects such as fine-tuning and training infrastructure, deploying LLMs on GPU instances, and designing robust and secure infrastructure. You will collaborate with AI specialists and scientists, actively participate in research discussions, and provide insights on massive data processed in Datadog systems. A BS/MS/PhD in Computer Science, Engineering, or a related scientific field is required, along with experience in Language Models, NLP, deep learning, and ML development frameworks. Experience with Pytorch, Tensorflow, and CUDA is preferred. This is a senior-level position.
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