Top Artificial Intelligence Jobs in San Francisco, CA
The Office Coordinator will provide crucial administrative support, manage office operations, oversee budgets and expenses, coordinate meetings and events, and ensure a well-organized workspace. This role requires multitasking in a fast-paced environment and fostering positive guest reception.
As a Product Designer at Forward, you'll redefine healthcare user experiences, create self-service diagnostics, and empower users through intuitive designs. Working closely with top-tier designers and healthcare professionals, you will contribute to impactful projects that democratize healthcare and enhance patient engagement using innovative design principles.
As a Lead Value Consultant, you will connect client needs with our software solutions, conduct product demonstrations, develop onboarding strategies, provide technical support, and influence product strategy through customer feedback.
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As a Staff DevOps Engineer, you will manage and develop AWS Cloud infrastructure for Data Science and Machine Learning environments, resolve user issues, automate repetitive tasks, and create self-service tools to enhance user experience.
As a software engineer at Wispr, you will build the software platform for consumer electronics, working across frontend, backend, and mobile. Your tasks involve rapid iteration based on user feedback, maintaining high coding standards, and collaborating in a team to develop software for cutting-edge hardware.
As the Manager of Technical Accounting and Reporting, you will oversee financial analysis, prepare financial reports, provide insights, and execute quarterly and annual reporting processes. You will develop policies, prepare complex accounting memos, manage GAAP compliance, and collaborate cross-functionally to enhance financial controls and reporting standards.
The Cloud Logistics Product & Test Engineer will drive product development and testing for Nimble's cloud logistics solutions. Responsibilities include requirements gathering, overseeing product lifecycle, performance tracking, data analysis, technical documentation, and system testing to ensure functionality and integration for customers.
The Software Engineer will develop and maintain data ingestion and processing systems, manage large data volumes, collaborate with other engineers, and implement cloud-based processing systems. Responsibilities include building data pipelines, optimizing data collection software, and enhancing system reliability.
Lead a team of engineers in developing high-scale software solutions for managing and leveraging big data within the platform. Collaborate with product teams to deliver innovative products, mentor and lead the engineering team, ensure test coverage, and maintain a security-first mindset in application development.
As a Product Analyst, you will be responsible for conducting quantitative analysis, developing KPIs, analyzing data with SQL, collaborating with business teams, and providing data-driven recommendations. Automation of analysis processes and effective communication of findings are key aspects of this role.
Top Artificial Intelligence Companies in San Francisco, CA Hiring
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