Top Tech Jobs & Startup Jobs in NYC, NY

The Staff Software Engineer will develop and deploy high-performance machine learning systems, optimizing large language models for production environments. Responsibilities include ensuring high availability and low latency for AI applications and working collaboratively across teams.

The Site Reliability Engineer will develop, deploy, and operate AI infrastructure, focusing on high-performance and scalable machine learning systems using Kubernetes and cloud platforms.

As a Forward Deployed Engineer, you will build and ship features for an AI workspace platform, develop autonomous agents, and manage end-to-end deployments, collaborating closely with clients in various sectors.

Lead strategic financial planning, forecasting, pricing, and fundraising analysis for a high-growth AI/SaaS company. Provide executive-level financial modeling (M&A, valuation, capital markets), scenario analyses, and recommendations to support contract negotiations, investments, and long-term planning while building and mentoring a strategic finance team and partnering with the CFO and senior leadership.

As a Software Engineer in Data Infrastructure, you will build and maintain high-performance data storage systems for AI training, collaborate with experts, and optimize data processing.

Own full-cycle recruiting for G&A functions including Legal, Finance, Marketing, and People. Develop recruiting strategies with hiring managers, source candidates, manage recruiting funnels in Ashby, deliver an excellent candidate experience, provide talent-market insights, build diverse talent communities, and support talent projects, conferences, and networking events.

Owns revenue enablement programs for North American field teams from design through rollout, measurement, and iteration. Partners with Product, Marketing, Sales Leadership, and RevOps to align go-to-market priorities. Develops playbooks, certifications, training, and competitive resources; operationalizes MEDDPICC; tracks enablement KPIs; improves content platforms and AI workflows; coaches sellers; and translates field insights into updated enablement materials.

Own the full sales cycle for state, local, and higher education customers across the SLED market. Responsibilities include territory planning, outbound business development, executive relationship building, consultative selling, partner management, proof-of-concept execution, procurement, and deal closure. The role requires collaboration with SDR, Marketing, Customer Success, Sales Engineering, Product, and Engineering teams to expand public-sector adoption of Cohere’s AI platform.

Build and scale ML-optimized HPC infrastructure, manage Kubernetes-based GPU/TPU superclusters, optimize for AI/ML training, and mentor teams while innovating in ML infrastructure.

Lead Cohere's policy engagement on compute infrastructure, export controls, sovereign AI, and national AI competitiveness. Monitor and analyze relevant developments, develop policy positions, engage governments and cross-functional teams, represent Cohere in public discussions, and produce policy analysis and thought leadership to inform strategic business opportunities and public-private partnerships.