Top Artificial Intelligence Jobs in San Francisco, CA

The IT Disaster Recovery Specialist ensures business continuity by developing and implementing IT disaster recovery plans and strategies for Belvedere Trading.

The IT Disaster Recovery Specialist will focus on ensuring business continuity and disaster recovery planning within a proprietary trading environment.

Build the systems powering Retool Workflows and Agents, including orchestration engines, execution infrastructure, AI integrations, and developer tooling. Design scalable distributed systems, collaborate with Product and Design, own projects from architecture through launch and iteration, improve platform reliability and performance, work directly with customers, and contribute to technical direction, mentoring, and hiring.

Design, implement, benchmark, and optimize CUDA-based GPU kernels and custom operators for on-vehicle ML inference. Build profiling, debugging, and validation tooling, collaborate with compilers, runtime, and architecture teams to deliver high-performance libraries into production, and manage internal customer relationships while maintaining high engineering standards.

As the Senior Public Relations Manager, you'll develop global PR strategies, enhance media relations, create engaging content, and elevate executive visibility.

Owns execution and business outcomes for the Chief Customer Officer’s strategic programs, including go-to-market transformation, renewals, retention, product feedback, and executive account engagement. Converts executive priorities into coordinated workstreams, aligns senior stakeholders, tracks program health and ARR-related outcomes, surfaces risks, drives accountability, and recommends scope or sequencing changes. Builds operating standards and a scalable programs function in a globally distributed environment.

Partners with engineering and finance leaders to manage cloud and AI infrastructure expenses, maintain forecasts, perform month-end close activities, analyze billing and operational data, support planning cycles, and provide financial insights and recommendations. Builds financial models, investigates variances, collaborates cross-functionally, and uses AI tools to automate finance workflows in a distributed asynchronous environment.

Build backend platforms and reusable tooling that enable engineering teams to conduct performance testing, analysis, benchmarking, and optimization through self-service workflows. Develop AI-assisted engineering capabilities, improve performance reporting and trend visibility, create documentation and templates, and influence teams to integrate performance testing into development and release processes. Partner broadly with development teams while providing expertise on complex performance challenges and scalable platform capabilities.

Leads measurement and product marketing for an enterprise portfolio of eight AI platforms. Builds shared KPI, taxonomy, data-contract, dashboard, and value-realization frameworks; translates usage data into executive insights; directs positioning, launches, campaigns, enablement, and adoption initiatives; and leads teams across analytics, communications, and marketing to demonstrate platform value.

Lead product strategy, roadmap, delivery, governance, and adoption for a greenfield enterprise AI platform supporting teams that build and operate AI agents. Define platform boundaries, controls, evidence requirements, and priorities while translating evolving AI governance, privacy, risk, security, and GxP requirements into usable product capabilities. Partner with engineering, design, analytics, legal, compliance, and security across a global enterprise, managing investment decisions of approximately $5 million and guiding multiple Agile teams.

The Air Quality Project Manager will oversee the preparation of federal and state permit applications, lead project teams, ensure compliance with regulations, develop proposals, and foster client relationships in the environmental consulting sector.

Lead development of analytics and dynamic pricing products by translating customer needs into technical requirements, managing roadmaps, coordinating engineering and QA, documenting integrations, running pilots, and owning delivery of data integration and backend service enhancements.

The Software Engineer Sr will design and implement automated testing frameworks, ensure quality software delivery, and mentor quality engineers in an Agile environment.