Top Tech Jobs & Startup Jobs in NYC, NY

Create developer-facing content and programs to drive revenue for the go-to-market team while collaborating with marketing and sales to support lead generation.

Serve as the technical owner for customer-facing data workflows and integrations: build pipelines, write SQL and Python scripts, deploy AI-powered workflows, manage APIs and Snowflake ingestion, and translate repeatable solutions into product requirements while supporting customer success and internal engineering.

BlueConduit invites interested candidates to propose new positions they believe would contribute to the team, detailing the role and its benefits.

Provide systems engineering support for AMBIT/SIS programs: requirements analysis, system architecture, integration, modeling/simulation, verification/validation, and sustainment of RF, telemetry, IT, and cybersecurity systems. Collaborate with cross-functional teams and produce technical documentation to support deployment and operational decision-making.

Lead design and development of instructor-led and virtual instructor-led programs, including AI-enabled learning. Own client-facing discovery, outcomes, materials, assessments, instructor enablement, project management, and productization of reusable learning components across enterprise audiences.

The Customer Success Engineer will lead deployments, serve as a technical advisor, and support customer engagement, focusing on product enhancements and user experience.

The role involves conducting market research, building client relationships, collaborating globally, and crafting sales proposals in the mining industry.

Manage the complete sales cycle including lead generation, networking, and deal closure in a remote team environment. Work with Databricks professionals to drive new business.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.