Top Tech Jobs & Startup Jobs in NYC, NY

Lead and grow a regional Lakebase specialist sales team to drive adoption of Databricks for operational, real-time, and transactional workloads. Own regional revenue targets and pipeline, coach specialists on deal strategy and technical qualification, execute developer/platform sales motions, engage senior technical executives and partners, and provide field feedback to product and GTM teams.

Build and productionize customer-facing data and AI solutions on the Databricks platform. Own architecture and design decisions while implementing end-to-end systems involving data engineering, pipelines, distributed computing, ML/AI models, and applications. Partner with customers, project managers, architects, engineering, and support teams to deliver measurable outcomes, guide adoption, resolve issues, and create reusable technical assets. The role requires customer immersion, enterprise stakeholder management, technical project delivery, and 20% customer travel.

As a Staff Software Engineer at Databricks, you'll lead development of AI-driven products, creating user-centric designs in a startup environment. You'll collaborate with cross-functional teams to build scalable solutions and establish best practices for impactful AI applications.

The Partner Engineer will manage the technical relationship between Databricks and Microsoft Azure, drive integration efforts, and ensure product alignment with Azure's roadmap.

The role involves developing intuitive interfaces and solutions for generative AI applications while collaborating with cross-functional teams to drive product growth and strategy.

Lead and close complex sell-side software and SaaS transactions, draft and negotiate MSAs, order forms and SOWs, advise Sales and Deal Desk on privacy, security, AI, IP and open source issues, partner with cross-functional stakeholders, improve templates and contracting processes, and provide practical legal guidance balancing risk and commercial objectives.

As a Staff Backend Software Engineer at Databricks, you will enhance AI infrastructures, improve distributed workloads, and collaborate with teams to create seamless AI applications.

Lead development of CustomerLake personalization using ML and LLMs: evaluate and improve models in production, build evaluation and optimization frameworks tied to business metrics, partner with product and design to deliver scalable MVPs, and set technical best practices for ML/AI personalization.

Build enterprise-grade backend services and admin experiences for CustomerLake: permissions, access control, auditability, governance, pricing/entitlement, and scalable APIs. Translate admin and security requirements into reliable product features, own projects end-to-end, and collaborate with product, design, security, and infrastructure teams to deliver secure, compliant, and scalable SaaS capabilities.

Sell Databricks enterprise cloud data platform to Financial Services customers. Manage full sales cycle with CIOs and IT/LOB execs, close new and expansion deals, track pipeline in Salesforce, exceed quota, and drive customer satisfaction and internal account plans.