Top Tech Jobs & Startup Jobs

The GRC Systems Engineer will design and implement automated workflows and data pipelines for compliance processes, ensuring robust systems that support regulatory requirements and audit programs.

As an Account Executive, you'll drive the adoption of AI solutions in the Insurance sector, win new business, and manage complex sales cycles while collaborating cross-functionally to align offerings with market needs.

The Segment Marketing Manager will develop and implement marketing strategies for startups, partner with VCs, and drive engagement with technical audiences.

The role involves leading corporate development initiatives, sourcing acquisitions and partnerships, and shaping growth strategies for Anthropic's AI mission. The candidate will assess opportunities, negotiate deals, and integrate new capabilities while collaborating with leadership and various teams.

This role involves managing product operations, enhancing product delivery, collaborating with cross-functional teams, and creating effective systems for product development and customer feedback.

The Product Operations Manager will enhance product delivery by implementing feedback systems, improving workflows, and facilitating collaboration across teams. They will create and manage processes that connect product strategy to execution and understand user needs to drive product success.

The Product Operations Manager will connect strategy to execution in product development, focusing on streamlining workflows, enhancing decision-making, and improving product impact, specifically for Public Sector organizations.

Lead a team of account executives to drive AI adoption in startups, executing sales strategies and fostering cross-functional collaboration while ensuring responsible AI deployment.

As a TPU Kernel Engineer, optimize ML systems, design kernels for TPUs, and resolve performance issues. Collaborate with researchers to enhance performance metrics.

The Product Manager for the Safeguards team leads the development and deployment of safety systems for AI products, ensuring they are ethical and beneficial. Responsibilities include building safety measures, collaborating with teams, prioritizing product impact, and evaluating risks.