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

Build and run Anthropics scaled customer co-marketing and advocacy programs: manage budget allocation and reconciliation, coordinate agencies and creative production, own intake tooling and playbooks, define measurement with Marketing Ops/Data Science, and report program impact to leadership and customers. Partner closely with Sales, Partnerships, Growth Marketing, and Brand to grow Claude adoption and customer reach.

Lead and scale a global community function to drive retained users and product adoption. Build programs for developers, enterprise champions, and regional leads; define measurement frameworks tied to business outcomes; partner with Product, Data Science, Sales, Brand, and Comms; hire and develop a distributed team; integrate community into enterprise expansion, training, certification, and enablement; and support launches and sentiment through cross-functional alignment.

As a Staff Research Engineer, you'll work on removing blockers to scientific AGI, developing scalable models, and creating evaluation frameworks for model capabilities.

The Software Engineer will design, build, and ship AI tools, focusing on full-stack development and enhancing user experiences, particularly for enterprise applications.

Manage startup accounts, build engagement models, identify growth opportunities, develop best practices for customer engagement, and collaborate on technical needs.

The role involves building AI applications for government, architecting deployments, collaborating with research, and ensuring effective customer integration.

As a Staff Software Engineer, you will lead full-stack development, ensuring high-quality product delivery for consumer and enterprise applications, focusing on user experience and robust system design. You'll collaborate across teams to implement impactful AI solutions.

Manage the commercial legal team, focusing on enterprise technology and startups agreements. Support deal negotiations and maintain legal infrastructure.

Lead end-to-end delivery of custom AI agent solutions for enterprise customers: scope SOWs, run technical discovery, manage engineering execution, stakeholder communications, ROI measurement, compliance navigation, and codify reusable delivery playbooks. Travel to customer sites (25–50%) and liaise with product and research teams to scale deployment patterns.

Lead design and implementation of an AI-native education platform: authentication/SSO, learner data models, content delivery, credentialing, adaptive assessments, and AI-augmented pipelines. Own technical vision, integrate with security/infrastructure/data teams, and build tooling so non-engineers can configure educational experiences at scale.