Top Tech Jobs & Startup Jobs

Lead a small senior web engineering team owning anthropic.com and claude.com: CMS architecture, publishing pipeline, design system, performance, SEO, localization, deploy pipeline, and launch engineering. Coach and hire engineers, build tools enabling non-engineers to publish safely, run on-call and incident response, and partner closely with Design, Editorial, Marketing, and Product to ship high-quality campaign and product launch experiences.

As a Sales Manager, lead and develop a team of Strategic Account Executives to drive revenue growth by securing strategic deals in the Telco, Media, and Retail sectors while collaborating across teams to refine sales strategies and methodologies.

As a Performance Engineer, you'll optimize distributed systems for machine learning, solve systems problems, and contribute to high-performance ML projects.

Lead third-party cloud marketplace order management and quote-to-cash automation. Own private offers, provisioning, pricing, SOX controls, and integrations with billing/ERP systems. Drive new product launch readiness, UAT, metrics, and cross-functional partnerships with Finance, Legal, Tax, Deal Desk, and Billing Engineering to scale order lifecycle and ensure compliance.

The Renewals Leader will build and manage a team focused on sustaining and growing recurring revenue through strategic renewals and customer engagement in a consumption-based model.

The Software Engineer will develop full-stack applications for AI research teams, enhancing productivity through intuitive interfaces and rapid prototyping. Responsibilities include building infrastructure, collaborating with researchers, and mentoring other engineers.

The Product Support Specialist responds to and investigates user support cases, assists customers, manages urgent issues, and improves support processes.

As a Staff Infrastructure Engineer, you'll develop, optimize, and manage large-scale infrastructure systems and data pipelines to support AI training and scientific research, addressing key infrastructure challenges.

The Research Engineer will develop large language models, conduct research on model architecture, optimize training infrastructure, and lead research projects.

Lead product strategy and roadmap for compute scheduling, orchestration, and capacity management. Define scheduling abstractions, resource guarantees, preemption and fairness policies, quota and capacity planning, and observability to maximize cluster utilization, reduce cost, and meet SLAs for training, fine-tuning, and inference workloads. Collaborate across engineering, research, finance, and operations.