Top Tech Jobs & Startup Jobs in NYC, NY

The role involves enhancing AI system reliability, developing service objectives, monitoring infrastructure, leading incident responses, and collaborating across teams.

The Performance Engineer will analyze system performance, evaluate model outputs, build observability tools, and partner with teams to optimize throughput, latency, and correctness in AI systems.

Lead and scale GovTech sales organization, develop go-to-market strategies, build relationships with federal partners, and achieve revenue targets.

Own end-to-end enablement for the Claude Developer Platform: build demos, hands-on labs, and self-service resources; deliver and scale live technical training; coach technical sellers; stress-test features with product; and measure content effectiveness to improve field readiness.

As an Engineering Manager, you'll lead efforts to enhance model performance, manage team projects, and support professional growth in a dynamic environment.

Build and maintain low-level networking software that interfaces accelerators and high-speed networks. Diagnose and optimize kernel- and user-space networking (layers 2-4), implement collectives/RPC, benchmark and improve congestion control, and develop drivers and protocols to reduce latency for distributed ML workloads.

Lead operations for high-visibility communications programs, turning ambiguous, fast-moving projects into clear workstreams, owners, timelines, and decisions. Drive alignment across cross-functional partners, design and improve playbooks and crisis protocols, anticipate and remove bottlenecks, and provide strategic program leadership for launches and reactive situations.

Build, maintain, and improve algorithms and infrastructure for finetuning and RL training (RLHF) of large language models. Improve speed, reliability, and usability of training pipelines through profiling, instrumentation, debugging GIL contention, launching test jobs, and implementing research algorithms to support production and internal model training.

Lead system-level architecture for large-scale AI compute: define specs, evaluate vendor designs, drive interconnect, power, thermal, and reliability strategies, develop validation and bring-up plans, and partner with ML, infrastructure, and supply chain teams.

Design and build real-time risk decisioning and tooling to prevent payments fraud. Implement fraud signals at scale, manage dispute and chargeback workflows, monitor metrics (loss, dispute, approval, false positives), lead investigations into emerging fraud patterns, and collaborate cross-functionally with finance, support, legal, data science, and external payment partners.