Top Tech Jobs & Startup Jobs

Responsible for recruiting top talent for Core Tech teams, focusing on Machine Learning and AI. Collaborates with hiring managers to improve processes and enhance employer branding while scaling diverse teams.

The role entails creating and executing targeted account-based marketing campaigns to enhance relationships with key enterprise accounts, in coordination with sales and marketing teams. Responsibilities include developing personalized strategies, managing campaign calendars, and measuring performance.

The role involves leading product design for Claude experiences, collaborating with teams to enhance AI interactions and user experiences, and crafting user-centric designs.

The Product Marketing Manager will lead the launch of Claude Code, coordinating with engineering and marketing teams to ensure impactful messaging and successful roll-outs. Responsibilities include managing launch processes, developing messaging frameworks, and enabling sales with competitive intelligence.

The role involves driving strategic initiatives within the GTM team, managing cross-functional projects, synthesizing information for execs, and closing urgent daily tasks.

As Customer Engagement Strategy Lead, you will develop and execute a customer engagement strategy, manage executive relationships, and create frameworks for prioritizing engagements and tracking customer health metrics.

As the Head of AI Infrastructure Accounting, you will manage cloud computing costs, ensure financial accuracy, and improve accounting processes. You'll lead a team while collaborating across the organization to provide insights for strategic decisions.

The Commercial Counsel will support AI initiatives, negotiate agreements, manage legal risks, and ensure legal compliance while contributing to responsible AI development.

Drive the adoption of AI solutions by securing strategic deals with enterprises, collaborating with cross-functional teams, and providing tailored solutions.

As a Research Engineer, you'll enhance AI systems by optimizing model training, debugging across multiple layers, designing experiments, and maintaining operational reliability during model launches.