Artificial Intelligence Jobs in Fremont, CA

The Staff Product Marketing Manager will lead the strategic narrative and go-to-market efforts for AI messaging, collaborate with stakeholders, and support sales while delivering executive-level presentations and driving content strategy.

The Engagement Manager will drive customer adoption of AI solutions, ensure successful deployments, and build strong relationships with enterprise clients to achieve transformational value with AI tools.

The AI Growth Lead oversees growth strategies for Influur, focusing on acquisition and optimization across brands and influencers using AI-driven approaches.

The AI Implementations Manager oversees the delivery and stabilization of AI solutions, ensuring alignment with architecture and managing complex integrations across teams and stakeholders.

As a Founding AI Engineer, you will develop an AI-powered knowledge platform, focusing on backend systems, machine learning data pipelines, and optimizing tech stack for performance while participating in the entire product lifecycle.

The Chief Growth Officer will lead enterprise growth strategy, oversee AI-powered demand generation, and manage content and product marketing to drive sales.

The Frontend Engineer will build interfaces for software delivery, collaborating with cross-functional teams, driving feature development, mentoring teammates, and advancing engineering standards.

Lead product marketing for Procore's AI initiatives, shaping strategy, messaging, and sales enablement while driving AI adoption in construction.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

As an AI/ML Engineer, you will design and deploy models for real-world applications, optimize data pipelines, and engage with global leaders to enhance AI technology's impact across sectors like healthcare and government.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

Partner with executive sponsors and end users to identify high-impact AI use cases on Glean, run discovery workshops, scope pilots, build AI agents, drive adoption and expansion, and translate business needs into measurable outcomes.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

The Technical Product Manager will lead product direction, interface with engineering teams, and ensure the successful deployment of AI-powered safety systems. Responsibilities include defining product vision, translating customer needs, and maintaining high product quality.

The Regional Sales Manager leads revenue strategy for AI Native across Western US, managing a team of 8 Account Executives, and driving regional performance, pipeline generation, and strategic growth.

The Managing Partner will lead enterprise sales, managing multi-million dollar pipelines and fostering strategic partnerships with AI labs and Fortune 500 clients.

The Head of Applied AI will lead the AI team, manage architecture initiatives, ensure quality AI feature development, and support team growth.

Join the Advanced Metrology team to apply data science and AI/ML in developing measurement solutions for magnetic recording head fabrication. Responsibilities include algorithm development, workflow automation, and collaboration with engineers.

The AI Engineer will design and build AI systems using LLMs, develop agent workflows, implement APIs, and collaborate with teams to optimize AI applications.

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.

As a Staff AI Software Engineer, you will design and build autonomous AI systems for security testing, focusing on reliability, scaling, and integration with enterprise infrastructure, all while collaborating with top security experts.