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

Build and optimize Anthropic’s large-scale inference engine across accelerator and cloud platforms. Responsibilities include improving throughput, latency, cost, reliability, device utilization, memory management, batching, scheduling, caching, model-state reuse, and distributed coordination. The role requires profiling and modeling system performance, implementing high-performance systems software, maintaining model quality and safety, and collaborating across infrastructure and safeguards teams.

Coordinates confidential M&A recruiting and interview processes from initial candidate contact through start date. Partners with Corporate Development, Legal, People, recruiters, and technical leaders; manages scheduling across time zones; maintains trackers, timelines, checklists, and playbooks; improves processes; supports candidate experience; and uses AI tools such as Claude in daily recruiting operations.

Build trusted software systems for datacenter lifecycle management, including sites, designs, equipment, bills of materials, and construction progress. Partner closely with datacenter, energy, and supply chain teams to model workflows, reconcile legacy data, integrate industry tools, and deliver permissioned, auditable systems. The role requires strong full-stack engineering, data modeling, API, and database expertise, along with user-centric zero-to-one product development in physical-world industries.

Build and operate scalable ML inference infrastructure powering Claude’s safety systems. Responsibilities include productionizing safety research, optimizing real-time inference latency and throughput, developing monitoring and observability tools, implementing testing and deployment automation, and supporting reliable classifier rollouts. The role requires collaboration with researchers, inference engineers, security teams, and alignment teams to deliver high-throughput, low-latency, safety-critical ML systems.

Owns full-lifecycle recruiting for Anthropic’s Security organization, from intake through offer and close. The role builds specialized security talent pipelines, partners with hiring managers on requirements, interview design, and calibration, evaluates technical qualifications, advises on market conditions, and supports equitable offer development. Success requires strong recruiting expertise, security-domain fluency, independent judgment, discretion, and the ability to recruit for complex technical roles.

Design, build, and operate high-throughput backend services on Claude’s token-generation path. Own latency, reliability, SLOs, incident response, safe deployments, graceful degradation, and cost efficiency. Lead technical direction, design reviews, tradeoffs with inference and research teams, mentoring, and operational improvements across the Safeguards organization.

Design, build, and scale reliable infrastructure supporting AI research workflows. Lead ambiguous, multi-month engineering projects, make architectural decisions, align stakeholders, partner with researchers, and improve system reliability and scalability. Establish technical standards and mentor engineers while operating in a rapidly changing environment.

Leads Anthropic’s accounting policy and technical accounting function. Owns US GAAP policies, advises on novel revenue, infrastructure, financing, equity, M&A, and investment transactions, and develops rigorous technical memoranda. Partners with auditors, SEC stakeholders, Legal, Tax, FP&A, and deal teams; leads standards adoption, public-company-grade reporting, SOX-ready controls, Audit Committee reporting, and team development.

Conduct end-to-end qualitative and quantitative UX research for Anthropic’s developer platform. Define research priorities with platform leaders, study developers and enterprise users, communicate findings to product, design, and engineering teams, and influence strategic product decisions. Build AI-enabled research tools and methods, using Claude extensively to accelerate analysis and maintain rigor. The role requires technical fluency with APIs, SDKs, developer tools, and engineering-led products.

Build and govern Anthropic’s quote-to-cash data foundation. Design canonical models from Salesforce, CPQ, and billing data; establish data integrity standards and SLAs; collaborate with systems engineers on schema changes and ingestion; and create data products, dashboards, and self-service analytics tools for GTM and Finance teams. The role also owns data architecture, translates stakeholder needs into technical requirements, and influences roadmaps.