Top Tech Jobs & Startup Jobs in NYC, NY

As a Senior Software Engineer, you will lead the development of scalable backend systems, manage feature development lifecycles, and engage with stakeholders to translate mission needs into technical requirements while ensuring implementation meets criteria.

Design and implement end-to-end AI agent systems, collaborate with cross-functional teams, and oversee deployment and performance evaluation in production environments.

The Staff Software Engineer will lead implementations, mentor engineers, define technical strategies, and communicate with stakeholders while enhancing federal engineering capabilities.

The Quality Lead will ensure high data quality for Generative AI programs, overseeing operations, team management, and quality improvement initiatives.

Provide commercial legal support for Scale's Enterprise business: draft, review, and negotiate master services, licensing, partnership, reseller, vendor, and data processing agreements with Fortune 500 customers; advise sales, product, and engineering on legal risk; drive deal execution; and design policies and processes to manage legal and business risk globally.

The Research Scientist will design evaluation measures for AI systems, collaborate with agencies, and publish research on AI risks.

As an Engagement Management Lead, you'll manage strategic customer relationships, oversee project delivery, and ensure quality outcomes while navigating complex customer dynamics.

Design, build, and maintain foundational platform systems and cloud infrastructure supporting Scale's AI data and RLHF products. Collaborate with cross-functional teams to define features, improve engineering practices, and drive platform reliability, deployment, and CI/CD workflows.

Lead cross-functional initiatives to drive multimillion-dollar revenue: partner with product and engineering, own data-labeling operations for strategic projects, provide executive updates, and solve high-impact operational and product problems.

Lead high-impact initiatives for Scale's Generative AI unit: own customer pipelines, design data taxonomies, build pipeline infrastructure and analytics, manage and coach global teams, partner cross-functionally, and report progress to executives to drive revenue and model improvements.