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

Lead product strategy and execution for enterprise digital products, driving human-centered, technology-driven solutions. Manage cross-functional teams, translate business strategy into customer-facing products, mitigate product risks, and deliver measurable business outcomes.

The Premium Support Engineer will serve as a technical authority for enterprise customers, ensuring optimal performance of air-gapped systems, advocating for feature requests, and managing incident responses.

Lead enterprise-scale Generative AI programs from research to production, focusing on multi-agent conversational systems, agentic architectures, pretraining/finetuning, and inference optimization. Drive cross-functional delivery, manage technical risk, establish evaluation and deployment frameworks, partner with risk/compliance, and ensure scalable, secure adoption of AI solutions.

Ten-week, full-time paid Data Science internship for current PhD students. Interns will build and evaluate modeling and analytics tools, integrate internal and external data sources, design data science models, and communicate results. Candidates must continue their PhD after the internship and may be evaluated for full-time roles upon graduation.

Ten-week, full-time paid Data Science internship (June–August 2027) working on machine learning, deep learning, and large-scale data analysis. Interns evaluate modeling tools, integrate internal and external data/APIs, design data science models, and present insights to stakeholders. In-person attendance at an assigned U.S. location is required; interns may be considered for full-time roles after graduation.

Lead a cross-functional team to deliver AI-powered banking products, focusing on developing and supporting AI software components and optimizing LLM technologies.

The Senior Lead AI Engineer at Capital One will design, deploy, and support AI systems, working with cross-functional teams to innovate and enhance customer interactions while ensuring scalability and performance.

Lead a team and portfolio of technology projects to deliver cloud-based, distributed microservices solutions. Mentor engineers, collaborate with product managers, occasionally code and evaluate code, and use cloud, container orchestration, databases, and modern languages to meet regulatory and customer needs.

Design and build an enterprise generative AI platform: agent orchestration, memory, guardrails, vector search, SDKs, and blueprints. Standardize agentic workflows, optimize orchestration and cost, own Helm/Kubernetes operators, ensure trust and safety, mentor engineering teams, and evangelize platform architecture internally and externally.

The Product Design Manager will lead design projects, mentor team members, and create innovative solutions while focusing on customer-centered design and collaboration with cross-functional partners.