Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Designs and operates large-scale distributed inference systems serving Claude globally. Responsibilities include intelligent routing, load balancing, traffic management, autoscaling, cloud orchestration, deployment pipelines, model serving, accelerator integration, observability, and performance optimization across multiple regions and cloud providers.

Design and operate backend services and infrastructure for Claude inference across AWS, GCP, Azure, and future cloud platforms. Build CI/CD deployment pipelines, multi-cloud abstractions, capacity and autoscaling systems, workload routing, and observability tooling. Collaborate with internal engineering and security teams and external cloud providers to launch reliable, cost-effective model-serving capabilities at massive scale. Analyze production performance, cost, and reliability issues and drive remediation.

Build and ship computer-use and browser-control products across frontend, agent runtime, and backend services. Diagnose agent reliability issues, collaborate with AI researchers, create knowledge-worker workflows, instrument products, analyze usage data, and iterate based on external user feedback. The role requires end-to-end product ownership, full-stack engineering, LLM and agent experience, and comfort operating amid ambiguity.

Negotiate hardware, firmware, software, technology, data, and partnership agreements; advise on product safety, trade controls, sanctions, tariffs, customs, and supply-chain risks; create legal templates and AI-assisted review tools; manage outside counsel; and partner with Procurement, Finance, engineering, scientists, and compliance teams.

Owns Anthropic’s marketing measurement framework connecting marketing activity to pipeline, revenue, and product usage. Responsibilities include defining metrics, building data models and dashboards, analyzing funnel performance and attribution with SQL, resolving data quality issues, aligning cross-functional teams, educating stakeholders, and presenting actionable insights to marketing leadership and executives.

Design and ship polished, user-centered AI product experiences and complex workflows. Collaborate with product managers, engineers, researchers, and stakeholders to define product vision, roadmaps, and feature capabilities. Create UI primitives, prototypes, and high-quality interfaces that build trust in AI technology. Work comfortably across design, code, and prototyping while operating effectively in a fast-paced, ambiguous startup environment.

Own Anthropic’s Microsoft co-sell motion by creating joint sales plays, mapping target accounts, connecting sellers, managing Azure Marketplace transactions, tracking pipeline, escalating blockers, and reporting performance to executives. The role also leads a major Microsoft initiative and brings field insights to product and go-to-market teams.

Own partner marketing for Anthropic’s highest-performing global and regional systems integrators. Develop joint marketing plans, executive programs, campaigns, announcements, messaging, enablement materials, and customer proof. Coordinate with alliances, product marketing, field marketing, events, and agencies; manage partner funding; track pipeline and campaign ROI; represent Anthropic at partner events; and scale successful practices across the broader partner network.

Build scalable software systems for AI safety, including abuse detection, monitoring, automated enforcement, internal dashboards, and layered defenses. The role surfaces abuse patterns to research teams, supports model hardening, and collaborates with operational teams. Candidates should be proficient in Python and TypeScript, work across the stack, communicate effectively with nontechnical stakeholders, and ideally have experience in trust and safety, fraud detection, adversarial inputs, or AI/ML safeguards.

Build backend infrastructure for Anthropic’s trusted access programs, including identity verification, customer vetting, access control, safety configuration, misuse monitoring, enforcement tooling, account-compromise mitigation, dashboards, alerting, and internal administration systems. Collaborate with policy, enforcement, threat intelligence, product, research, and go-to-market teams while integrating third-party identity verification and data enrichment vendors.