Top Tech Jobs & Startup Jobs in NYC, NY

The Staff Software Engineer will innovate in building new products using modern UX/UI technologies, focusing on complex data and workflows. Responsibilities include creating interfaces for GenAI agents, visualizations, and collaborative environments for large-scale data projects.

The Staff Software Engineer will develop and maintain infrastructure for AI research, improve tooling for researchers, and mentor engineers in creating scalable systems for experiments and model training.

Solutions Architects at Databricks lead projects using big data technologies. They partner with sales, consult on architecture, and engage customers with technical leadership.

Develop and close sales in enterprise accounts, focusing on customer relationships and exceeding sales targets while utilizing a solution-based approach.

Lead engineering teams at Databricks, focusing on building AI product solutions for customers using innovative ML techniques, while managing product launches and development.

In this role, you will lead customer engagements, provide technical solutions, and guide customers on the Databricks platform, focusing on big data architectures and integrations.

The Finance Manager will partner with Product Support to manage the Support P&L, build capacity models, assess financial impacts, and drive operational improvements. Key responsibilities include designing KPIs, analyzing financial data, and facilitating cross-functional collaborations for strategic planning.

The Commercial Account Executive is responsible for driving sales, building customer relationships, exceeding revenue targets, and managing accounts using Salesforce and Clari.

Solutions Architects at Databricks drive the adoption of the Data Intelligence Platform, collaborating with customers to implement data-driven solutions and architectures, while promoting open source technologies.

The Senior Analytics Engineer will design, build, and maintain data models, reports, and dashboards to support GTM teams, leveraging data to drive business insights and efficiencies while integrating AI solutions.