Artificial Intelligence Jobs in Oakland, CA

The Senior AI Product Manager will lead product initiatives, focusing on AI integration, collaboration with teams to improve user experience, and driving product execution.

As an AI Support Engineer, you'll handle customer issues, escalate unresolved problems, document failure modalities, and provide product testing feedback.

Drive the go-to-market strategy and growth of an AI-powered SaaS product. Responsibilities include user acquisition, product growth, and collaboration with teams to optimize features and user experiences.

The Senior Solutions Engineer will bridge product and client-facing teams, ensuring the integration of AI solutions into insurer environments, while collaborating with sales and customer success for implementation and advocacy.

The Sales Strategy and Operations Manager leads complex sales opportunities, develops ROI models, engages executives, and coordinates cross-functional input for compelling proposals.

The Principal Product Manager will drive the AI strategy for Fictiv's digital manufacturing platform, leading product development for AI capabilities and overseeing collaborations with AI, data science, and engineering teams to enhance operational efficiency and system accuracy.

Lead AI initiatives, establish strategy, and develop generative AI applications. Collaborate with teams to build and optimize financial products.

Lead technical support for an AI voice platform, debug complex issues, build AI agents and automations, and oversee a support engineering team.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

The AI Engineer will develop an Enterprise GenAI platform, design RAG systems, build AI pipelines, and implement evaluation frameworks while collaborating with cross-functional teams.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Intern will build autonomous AI agents, develop CV pipelines for material characterization, optimize high-performance data pipelines for battery datasets, and support backend tools (FastAPI, dashboards) to enable modeling and production ML workflows.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

The Head of Partnerships will develop and manage partnerships, build programs for early-stage companies, and represent Fastino at industry events to drive business growth and brand presence.

This role involves driving new client acquisition and revenue growth through full-cycle sales execution and relationship building with stakeholders, while maintaining pipeline tracking in CRM.

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 role involves building production-level machine learning models, optimizing algorithms for content delivery, and collaborating with teams to implement models. A focus on machine, deep learning, and data-driven insights is required.