Top Artificial Intelligence Jobs

Own and build Sauna’s product experience across web and other interfaces, with a frontend-focused full-stack role. Design and ship delegation, memory, routines, collaboration, onboarding, billing, and high-performance local-first features. Work across interaction design, React architecture, APIs, database migrations, analytics, realtime systems, caching, and optimistic updates. Candidates should independently turn rough ideas into polished products, iterate from feedback, and care deeply about usability, performance, and craft.

Operate and test robots to collect high-quality training data, define task standards, iterate processes, work with customers and engineers, document findings, and improve robot performance through hands-on hardware and software experimentation.

Own end-to-end physical layout and routing for high-density, multi-die organic substrates, packages, modules, and high-speed interface boards. Perform feasibility studies, signal and power integrity implementation, package-to-board co-design, constraint and library management, design checks, manufacturing documentation, and release activities. Collaborate with ASIC, mechanical, SI/PI, manufacturing, foundry, substrate, OSAT, and fabrication partners to resolve manufacturability issues and deliver designs to production.

Lead product marketing for AirOps’ AI-native software platform, including positioning, messaging, competitive differentiation, launches, seller enablement, beta programs, portfolio narratives, and product communications. Partner cross-functionally with Product, Sales, Customer Success, Services, Solutions Architecture, Research, and Marketing to support enterprise buying and market adoption. Own product and solutions website pages while adapting quickly to evolving products, customers, and AI search trends.

Work with customers to configure and maintain Cresta's Opera platform, identify key moments using keyword/utterance rules, monitor voice analytics trends, produce insight reports, respond to ad hoc analysis requests, and mentor customer analysts to maximize product value.

Own the company’s commercial development from prospecting through signed projects. Identify developers and hyperscalers pursuing large-scale energy and data center projects, leverage investor and industry networks, educate customers on faster iterative engineering, and discover opportunities aligned with the product. Translate customer needs into product priorities while managing every detail independently. Automate repetitive work with AI and build relationships with sophisticated customers in an early, in-person San Francisco environment.

Build end-to-end product features with a backend focus: schema and API design, UI work in React/TypeScript, GCP/Terraform infrastructure, CI/CD, DB performance tuning, production ownership, and product decision-making using AI coding tools.

Build and improve a scan-to-BIM pipeline that converts point-cloud capture data into accurate, structured 3D BIM models. Responsibilities include model creation, mesh generation, data structuring, IFC and 3D-tool usage, and applying computer vision to automate 3D reconstruction. The role requires construction knowledge and hands-on experience with detailed 3D projects, with occasional quarterly onsite gatherings in San Francisco.

Own the finance and accounting product roadmap for an AI-native ERP, covering general ledger, AP, AR, costing, close, and financial reporting. Partner with finance leaders and operators to understand workflows, define product specifications, prioritize capabilities, and collaborate with engineering through release. Validate features, create test cases and release materials, conduct customer discovery and demos, and continuously improve the product based on customer feedback and operational needs.

Own full-stack product features from technical scoping through deployment and post-launch iteration. Design schemas, APIs, and business logic; build user-facing applications across frontend, backend, and databases; collaborate with ML researchers, product, design, and engineering; incorporate user feedback; and improve development, testing, and deployment practices.