Top Tech Jobs & Startup Jobs

Manage front-desk and visitor experience for the New York office, coordinate mail, meals, supplies, vendors, and events, support recruiting and onboarding, troubleshoot daily issues, and help maintain a welcoming workplace.

Lead and scale Cognition's partnerships in Japan: identify, structure, and close strategic alliances with enterprises, SIs, cloud providers and public sector; develop joint go-to-market motions; own executive relationships; translate partner feedback into product insight; coordinate with product, engineering and international leadership to drive partner-sourced pipeline, revenue, and ecosystem expansion.

As a Federal DevOps Engineer, you will manage the technical lifecycle of federal deployments, ensuring compliance and driving product improvements through direct engagement with customers.

As the Revenue Operations lead, you will manage systems for pipeline management, forecasting, and sales performance. Collaborate with GTM leadership and ensure data accuracy and automation in sales processes.

As a Partner Deployed Engineer, you will enable and support partner teams in deploying, scaling, and delivering AI solutions while leading technical training and ensuring partner success.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

As Commercial Counsel, you will manage complex negotiations for AI SaaS agreements, balancing risks and providing legal guidance for enterprise-level deals.

Lead GTM/Sales Operations for Europe: build and maintain pipeline management, forecasting, compensation modeling, CRM/GTM integrations, data quality, automations, and partner with GTM and Finance to improve predictability and deal velocity.

Build and operate the compute, orchestration, networking, and platform systems for agent execution and a developer platform. Own sandboxed VM/container orchestration, CI/CD, monitoring, SLOs, incident response, capacity planning, and security/isolation for large-scale agent workloads.

As a Product Engineer, you will focus on creating user-friendly and polished AI products, ensuring high standards of UX while collaborating with engineers and product teams.