Top Tech Jobs & Startup Jobs in NYC, NY

Build and productionize data and AI solutions for federal customers using Databricks. Own architecture, design decisions, data pipelines, ML/AI integrations, and user-facing applications. Lead technical delivery, advise customers, integrate client systems, provide training, and collaborate with engineering, product, support, and project teams. Contribute reusable frameworks and best practices while managing complex stakeholder relationships and delivering secure, scalable production systems.

Lead delivery and hiring for Profile Agents within CustomerLake, building agent-driven pipelines, identity/entity resolution, and production Customer360 outputs. Define product/architecture, ensure reliability and governance, work with customers, and scale the team and platform.

The Technical Product Manager will enhance user experiences by collaborating with teams, defining product roadmaps, and improving data governance and database capabilities.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on Databricks. Leads design, implements data pipelines, ML/AI integrations, CI/CD deployments, and reusable accelerators while embedding with customers to drive measurable outcomes.

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.

Build and improve backend AI infrastructure powering model training, serving, and developer-facing AI products. Improve reliability, latency, and efficiency of distributed AI workloads, collaborate with platform and ML teams, and ship scalable APIs and deployment workflows for Databricks AI services.

Lead technical relationships with major AI labs to define joint roadmaps, design and build platform-to-platform integrations, create POCs and reference architectures, enable strategic customers, and produce field enablement content. Act as hands-on technical owner across product, engineering, partnerships, and GTM to drive joint AI solutions.

Lead and deliver complex, multi-quarter Professional Services engagements for CMEG customers. Drive regional booking and consumption goals, shape account and sales strategy for PS&T, mentor junior managers, build strategic executive relationships, and apply deep Databricks technical and architectural expertise. Travel 25–50% as required.

Lead customer-facing projects to design, build, and productionize data and AI solutions on Databricks. Own architecture, implement end-to-end data pipelines, ML/AI model integration, and user-facing applications; collaborate with engineering, product, and support to deliver scalable, secure systems and reusable accelerators while driving customer adoption and measurable outcomes.