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

Drive adoption of Anthropic’s AI products among startups by owning the full sales cycle, developing strategic customer relationships, exceeding revenue quotas, identifying new market segments, negotiating complex agreements, and collaborating with product, marketing, and GTM teams. Gather customer feedback to influence product roadmaps, refine sales methodologies, and help startup customers deploy AI safely and effectively.

Design, build, and operate large-scale distributed inference systems serving Claude globally. Responsibilities include intelligent routing, load balancing, traffic management, autoscaling, multi-cloud orchestration, deployment pipelines, accelerator integration, model architecture support, and production performance optimization. The role also enables high-performance infrastructure for AI research and manages multi-region deployments across diverse cloud platforms and accelerator environments.

Develops product risk assessment frameworks and leads safety reviews for new AI features. Evaluates technical and nontechnical harms, misuse, unintended consequences, and harmful outputs; collaborates with product, engineering, legal, policy, and safeguards stakeholders to design mitigations. Creates bespoke evaluations, develops responsible AI policy recommendations, tracks emerging risks, prioritizes safety resources, and reports product policy risks and mitigations to senior leadership.

As a Research Engineer, you'll enhance model performance in safe coding for accelerators, design RL environments, and collaborate across teams.

Build and maintain high-performance distributed inference systems to serve LLMs at scale. Implement intelligent request routing, autoscaling, load balancing, deployment pipelines, and integrate diverse AI accelerators across multi-cloud environments. Use observability to tune production performance and enable research workflows.

Four-month, full-time research fellowship focused on ML systems and performance. Fellows build and evaluate infrastructure-heavy projects (e.g., CPU simulators, accelerator backends, large-scale distributed training), use external models/APIs, receive mentorship, funding for compute, and aim to produce public research outputs.

Lead Anthropic’s cybersecurity product portfolio, including strategy, partnerships, product development, and commercialization. Ship vulnerability discovery and remediation capabilities, represent the company to CISOs, vendors, researchers, governments, and press, and collaborate with research, engineering, safeguards, policy, sales, legal, and communications. The role requires deep security expertise, strong product judgment, technical fluency, and experience building products or businesses from inception through paying customers.

Own Anthropic’s end-to-end security incident management program, including detection, response, escalation, incident command, remediation tracking, post-incident reviews, documentation, training, and KPI reporting. Analyze incident trends and coordinate cross-functional engineering, infrastructure, security, legal, and product teams to implement systemic improvements. Establish incident commander rotations, improve alert fidelity, and drive accountability for preventive fixes across the organization.

Own Anthropic’s global income tax provision and US income tax compliance functions, including ASC 740 close, deferred taxes, uncertain tax positions, disclosures, SOX controls, audits, and Big 4 co-sourced compliance. Lead tax planning and analysis for M&A, infrastructure leases, financing structures, joint ventures, and acquisitions. Drive automation, technical memo preparation, cash tax forecasting, advisor management, and development of the tax team.

Lead technical direction for Anthropic’s developer experience, including the Console, documentation platform, SDKs, and CLI. Design and deliver complex full-stack, developer-facing products; establish engineering standards and component architectures; coordinate API integrations and SDK releases across seven languages; and drive testing, code generation, scalability, usability, mentorship, and cross-team alignment.