Top Tech Jobs & Startup Jobs in NYC, NY

Manage the engineering team, drive technical delivery, oversee product lifecycle, build features, and mentor engineers. Collaborate with cross-functional teams and ensure high-quality product releases in a fast-paced environment.

Design and build a novel, highly scalable data infrastructure to aggregate and stage simulation outputs and user inputs for LLM consumption. Architect massive batch pipelines, complex relational data models, and low-latency distributed processing. Lead technical direction, solve ambiguous first-principles problems, and optimize data for downstream AI decision systems supporting government customers.

The Platform PM defines the core platform needs, prioritizes work, oversees capability graduation, and ensures high-quality, reliable infrastructure for deployment across AI systems.

The Forward Deployed Product Manager is responsible for driving enterprise deployments, building relationships with senior stakeholders, and translating customer needs into actionable product direction. This role requires managing product outcomes and operational challenges while ensuring successful integration and implementation of AI solutions within large organizations.

Lead Product Managers to integrate Scale products in complex environments, aligning product strategy with market demand and championing field feedback.

The Enterprise Account Executive will drive revenue growth in financial services by selling AI solutions to major banks and fintechs, managing the full customer lifecycle, and building strategic relationships with executives.

The role involves architecting and scaling AI training platforms using GPU clusters, optimizing job scheduling, integrating new technologies, and collaborating with researchers on complex AI infrastructures.

Product Manager for Gen AI Platform to drive strategy, execute product roadmaps, and manage cross-functional teams while ensuring quality training data systems for AI models.

As a Machine Learning Research Engineer, you will research and train models, build agents using proprietary algorithms, and apply techniques to real enterprise datasets.

Design and implement identity infrastructure to secure authentication and authorization across systems. Manage SSO, MFA, federated identity, and RBAC/ABAC/ReBAC models. Collaborate with security and audit teams to enforce identity governance and compliance. Present technical guidance to stakeholders and own identity-related engineering projects.