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

The role involves architecting and implementing Android applications, optimizing performance, and leveraging AI technologies within a collaborative environment.

Build and maintain scalable data pipelines, warehousing, and analytics tooling to support AI safety monitoring, abuse detection, and enforcement. Integrate multiple data sources, implement data quality and governance, create dashboards and self-service tools, and partner with research and policy teams to inform safety interventions.

Lead full-cycle recruiting for Applied AI GTM roles (solutions architects, pre-sales engineers, managers). Partner with leadership to build sourcing strategies, evaluate candidates for LLMs/APIs/cloud integration experience, create excellent candidate experiences, build talent pipelines, use AI tools to improve recruiting, and provide data-driven market and compensation insights.

The Software Engineer will develop Claude Design's frontend and collaborate with teams to create user-centric design experiences, while also mentoring other engineers and setting technical direction.

Lead architecture and engineering-practice improvements for GTM systems processing lead-to-cash transactions. Build and mature delivery pipelines (PR workflow, CI/CD, automated UAT), standardize AI-assisted and agentic development practices, coordinate cross-team architecture and tooling, trace dependencies across upstream and downstream systems, and partner with platform developers to expand safe shipping capabilities.

Own delivery of GTM systems roadmap for Salesforce-centric sales and partner workflows: prioritize, sequence, manage dependencies, partner with analysts and developers, report risks/progress, and integrate AI (Claude) into GTM tooling.

Own full-lifecycle recruiting for Infrastructure roles: run intakes, build pipelines of specialized talent, refine interview loops, advise hiring managers with market data, partner on offers, and handle confidential searches with discretion.

Lead technical design and delivery of enterprise-facing AI products end-to-end. Partner with product, design, sales, and research to turn enterprise workflows into shipped features, set architecture and standards, mentor engineers, and build extensible integrations, plugins, and multi-step agents for organizational use.

Lead design and implementation of Claude Science, partnering with researchers to turn model capabilities into production-grade scientific tooling. Shape product roadmap, ship 0→1 features, build evals, surface model failure modes, and collaborate with product, design, and research to accelerate scientific workflows across domains.

Lead and manage the evals infrastructure team to design, build, and operate scalable, high-throughput distributed systems for model evaluation and data processing. Implement tokenization and data-processing primitives, ensure data quality, reproducibility, monitoring, and observability, collaborate with researchers, and coach/drive engineering execution and priorities.