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

Lead a small AI engineering team as a player‑coach: write production code, set technical direction for AI-driven analytics, build natural language data experiences, and establish eval-driven development. Own end-to-end delivery, data modeling, multi-tenant access patterns, and measurement pipelines while hiring, mentoring, and partnering with product to ship iterative, trustworthy AI features.

Own and optimize marketing operations: execute multi-channel campaigns, build automations and AI/LLM-driven workflows (lead scoring, personalization), maintain data hygiene and attribution, ensure compliance (GDPR/CCPA), enforce QA, and produce SOPs and playbooks to scale marketing systems and integrations.

The Senior AI Product Engineer will develop AI-powered features, ensuring usability for compliance practitioners and collaborating with cross-functional teams on product delivery.

The Staff Software Engineer will design and evolve the monetization platform, focusing on billing systems and integrations across various departments to ensure accurate customer outcomes and financial operations.

The Senior AI Product Engineer will develop and optimize AI product features, ensuring a seamless user experience through collaboration with engineering teams. Responsibilities include building full-stack features, implementing user feedback mechanisms, and monitoring product performance.

The Senior Software Engineer II leads platform development, ensures scalable applications, manages APIs, and collaborates on architecture and design, contributing to the agile development cycle.

As a Senior Site Reliability Engineer, you will enhance the reliability of Drata’s product teams through automation, architecture reviews, and operational excellence using cloud-native technologies.

Design, build, and scale production LLM, retrieval, and agentic AI systems for compliance automation. Implement evidence-grounded, explainable workflows, optimize for latency/cost/reliability, and embed human-in-the-loop guardrails while collaborating cross-functionally.

Lead architecture and development of scalable web applications and APIs, integrate LLM/AI features, design streaming and real-time AI experiences, maintain ingestion/analytics infrastructure, collaborate across product and engineering, and deliver production-ready, testable code.

The Senior Platform AI Engineer will develop production infrastructure for AI features, focusing on server architecture, agent orchestration, and AI model lifecycle management. The role requires building efficient systems and collaborating with various engineering teams to optimize workflow and enhance deployment processes.