Top AI Jobs in San Francisco Bay Area, CA

As a Senior Lead AI Solutions Consultant, you will drive revenue by promoting the Braze AI tools, collaborate with stakeholders, conduct AI Academy programs, and serve as a thought leader in AI technologies.

The Senior Solutions Engineer partners with account teams to solve enterprise customer problems, deliver product expertise, and lead value-based demonstrations to drive sales success.

The Account Executive is responsible for generating sales, maintaining relationships with clients and AWS, managing sales cycles, and promoting market growth.

The VP of Agentic Systems will lead data science research and development, focusing on AI systems to enhance cybersecurity operations, requiring strong leadership and collaboration across technical teams.

Own named strategic accounts and territory plans to drive expansion and customer success. Build C-level relationships, identify upsell/cross-sell opportunities, lead complex negotiations, and collaborate with channel partners and internal teams. Provide forecasts, conduct market research, mentor junior sellers, and travel as needed to meet clients and attend events.

As an Associate Technical Onboarding Manager, you will manage the onboarding process for new customers, gather technical requirements, and ensure quality customer experience through project management.

Lead and deliver audits of financial statements for digital assets, evaluate governance, compliance, and risk management, apply advanced auditing and technical accounting skills, manage and coach teams, communicate findings, validate outcomes with clients, and model professional standards.

The role involves guiding customers through Kubernetes migrations, optimizing cloud architectures, and collaborating with various teams to enhance customer success and product development.

The Principal Software Engineer will lead the technical direction for Platform-as-a-Service at DigitalOcean by designing scalable systems, mentoring engineers, and collaborating across teams to enhance developer experience and platform performance.

Lead design, development, deployment, and optimization of large-scale AI/ML systems (training, inference, orchestration, observability). Collaborate cross-functionally to build responsible, scalable generative AI and agentic platforms, improve performance and cost, and shape long-term ML systems roadmap.

Lead Sonar's product marketing for agentic software development: define positioning and AI narrative, present to customers and events, enable sales, align GTM across functions, track competitive landscape, and manage analyst and PR relationships to drive enterprise adoption of AI-generated code verification.

The Staff Data Scientist will identify AI opportunities, develop machine learning models, and provide mentorship while delivering business solutions using data analytics and AI technologies.

The role involves modeling and tracking costs, optimizing financial metrics, supporting reporting for stakeholders, and managing budgets for Product and General Administration.

Lead strategy, roadmap, and execution for AI/LLM-powered growth products in fintech. Build end-to-end AI features (copilots, chatbots, recommendations), drive PLG experiments, partner cross-functionally, ensure responsible AI and compliance, launch multi-region products, and mentor other PMs.

Lead product strategy and delivery for AI-focused developer tools that simplify integration with Airwallex. Own toolkits, SDKs, APIs, documentation, and community advocacy; collaborate with engineering and cross-functional teams to drive adoption, analyze data, and balance user needs with commercial outcomes.

Partner with CEO/CFO to deliver executive-grade data, own global forecasting engine, build causal inference and time-series models, drive generative AI strategy and production, and scale a data science and engineering team to inform capital allocation and long-range planning.

Lead architecture and build of a global, high‑performance data and AI platform. Own design, performance tuning, and SDLC for distributed systems (streaming, storage, indexing) powering real‑time analytics, vector search, and AI-driven products. Mentor engineers and drive engineering rigor and shared tooling.

Own strategy, roadmap, and execution for Compa's AI agent platform. Conduct customer discovery, prototype and iterate with engineering and design, define success metrics, and deliver agent experiences emphasizing autonomy, trust, explainability, and control.

Lead development of AI-powered features and scalable agent infrastructure for Hex. Partner with Research on model prompting, build experimentation tooling, and deliver performant full‑stack user experiences using web and backend systems. Mentor engineers and drive major product initiatives.

The AI Automation Senior Lead will build AI infrastructure, evaluate AI tools, redefine workflows, and maximize efficiency across teams at Taskrabbit.

The consultant will develop solutions to business problems by leveraging AI, conduct market research, and drive strategy through data analytics and communication with clients.

Lead Headway's AI platform vision and roadmap, own the internal assistant Eddy, write evals and prompts, configure agents and integrations, and partner with CX, Ops, Sales, Finance, and Clinical teams to identify high-value AI workflows and drive adoption across the company.

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 Lead AI Engineer at Capital One, you will design and develop AI systems, collaborate with cross-functional teams, and optimize AI solutions for performance and scalability.

As a Distinguished AI Engineer, you will design and develop AI software, partner with cross-functional teams, and create optimized AI systems to enhance customer interaction and improve banking services.