Top AI Jobs in San Francisco Bay Area, CA

Manage major infrastructure projects in the energy sector focusing on electric transmission and substation upgrades, ensuring quality and stakeholder satisfaction.

The Product Marketing Lead will develop and execute the strategy for Klaviyo's AI and analytics products, focusing on market positioning, customer value communication, and collaboration with cross-functional teams. Key responsibilities include product launches, trend analysis, and leveraging data-driven insights for continuous improvement.

The Principal Product Marketing Manager will develop AI messaging frameworks, create content, support marketing initiatives, and drive sales enablement efforts.

As a Staff Applied AI Scientist, you will design and deploy AI systems using LLMs, improve agent performance, and collaborate with engineering to enhance systems for customer impact.

The Senior Manager oversees AI and GenAI data science teams, driving complex analytics projects, coaching teams, and ensuring high-quality solutions. Responsibilities include managing GenAI development, collaborating with clients, presenting findings, and leading business development activities.

Partner with teams to deliver AI-powered products, build foundation models, and conduct applied research to enhance customer experiences.

Design and implement scalable cloud solutions for AI/ML, collaborate with sales and engineering teams, and influence customer strategy.

The Product Counsel will provide legal guidance on B2B AI systems, ensuring compliance with regulations, and supporting the development of AI-powered products.

Responsible for developing and enhancing an AI SDK, ensuring high performance and integration with deployment platforms, while collaborating with cross-functional teams and engaging with the open-source community.

Develop and enhance AI Gateway platform, contributing to the design and maintenance of features for optimal reliability in AI workloads while collaborating with cross-functional teams.

As a Senior Software Engineer, you'll architect and build core infrastructure components, optimize distributed systems, develop AI-driven products, and mentor mid-level engineers.

As Head of Agent Ops, you will own internal AI infrastructure, build agentic systems, deploy internal tools, and drive AI adoption across departments.

The role involves managing AI and Generative AI projects, leading teams, and leveraging advanced analytics to solve complex business problems, ensuring quality and client satisfaction.

The role involves designing, developing, and optimizing AI software components, collaborating with cross-functional teams, and contributing to the technical vision of AI systems at Capital One.

The Mobile Engineer will develop and deliver high-quality mobile features using Flutter, collaborate with cross-functional teams, and participate in reviews to enhance code quality.

The Staff Mobile Engineer will enhance mobile app features, improve system architecture, and mentor engineers, utilizing expertise in Flutter and mobile development.

The role involves designing and deploying AI automation in the platform, focusing on LLMs to enhance operational workflows and user experience.

In this role, you will design and deploy advanced machine learning and Generative AI solutions, leading projects from conception to deployment while mentoring junior team members.

The AI Engineering Specialist will oversee project tasks, manage expectations, mentor junior members, and design scalable AI systems while working with advanced AI models and ML pipelines.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

The Lead AI Engineer will develop AI solutions, partner with cross-functional teams, and optimize large-scale production AI systems using various technologies.

The role involves winning and growing business for Braze AI through collaboration with sales teams and customer relationships, focusing on AI decisioning and its applications in marketing.

The role involves providing end-to-end legal guidance on product development, AI governance, and technology licensing, supporting product counsel and negotiation with strategic partners.

The AI Success Manager drives customer success by fostering relationships, managing AI use cases, and ensuring clients derive maximum value from Braze's products through analysis and insights.

The Product Manager will lead product vision, strategy, and execution for new offerings, ensuring alignment with customer needs and business goals, while collaborating with engineers and designers.