Artificial Intelligence Jobs in Oakland, CA

Develop and execute go-to-market strategies, positioning, and messaging for AI products, collaborating with sales and marketing teams.

The role involves leading AI projects within risk and compliance, developing AI models, and mentoring team members, while ensuring project success and stakeholder management.

As a Lead AI Engineer, you will design, develop, and deploy AI systems, collaborate with cross-functional teams, and optimize AI solutions for scalability and performance.

Drive the development and integration of AI technologies in Confluence while leading cross-functional teams and shaping product strategy.

Seeking an AI-expert QA Automation Engineer to develop AI models, implement QA processes, and enhance testing automation. Responsibilities include building automation architecture and integrating AI tools for efficiency.

The Lead AI Engineer will design, develop, and deploy AI software, utilize various AI technologies, and work with a cross-functional team to enhance customer experiences through AI innovations.

Develop AI-driven solutions and agentic workflows, optimize AI models, build integrations between AI platforms and GTM systems, and provide ongoing support.

As a Lead AI Engineer at Mastercard, you'll develop AI agents, enhance backend systems, and explore LLMs while collaborating with engineers and data scientists.

As a Staff Software Engineer in AI, you will design and develop AI solutions to enhance member financial experiences, guide architecture, mentor engineers, and drive initiatives from concept to completion.

The Lead AI Engineer will design, develop, and deploy AI software components, working with cross-functional teams to enhance product experiences and optimize AI systems.

Develop and implement AI solutions for legal tasks, optimizing models, and advancing AI reasoning. Collaborate with engineers and legal professionals.

As Product Counsel, you will advise on legal matters related to consumer protection, AI, privacy, and financial regulations, collaborating across teams.

Manage CCaaS workstreams and delivery lifecycle. Lead projects, mentor teams, and build client relationships while ensuring operational excellence.

As a Senior Associate, you will lead contact center transformation projects, acting as a business analyst and team lead, managing execution, mentoring juniors, and building client relationships while analyzing complex problems and fostering innovative solutions.

Lead the architecture design and development of AI-driven Customer Interaction and Contact Center solutions while advising cross-functional teams and clients.

The Product Manager - AI Quality at Atlassian will lead product development for AI solutions, enhancing team collaboration and quality in software products.

The role involves understanding customer needs, collaborating with teams to deliver solutions, and driving product performance in a fast-paced environment, focusing on AI-powered support tools.

Design and deploy machine learning models for drug development, collaborate with cross-functional teams, and innovate AI solutions to improve clinical outcomes.

Lead strategic relationships to help clients implement AI solutions for business transformation, enhancing operations and portfolio performance.

The Senior Product Manager will drive AI product strategy, manage the product lifecycle, engage stakeholders, ensure governance, and lead AI initiatives within the IT landscape.

The AI Operations Specialist will monitor AI systems, manage content, troubleshoot issues, analyze performance metrics, and collaborate with various teams to enhance customer engagement.

As a Product Counsel, provide legal advice on consumer protection, AI, privacy, and financial regulations while collaborating with product and engineering teams.

The role involves leading the product lifecycle, collaborating with various teams to develop and deliver SaaS features, and translating strategic vision into a product roadmap.

Lead Software Engineer to design and develop secure applications integrating generative AI, focusing on frontend experiences and API services while leading technology initiatives and best practices.

Lead the design and development of engaging user-friendly applications utilizing generative AI, while collaborating with designers and ensuring best practices in software engineering.