Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead the development and scaling of OpenAI's advertising measurement strategies, frameworks, and tools, ensuring privacy-centric approaches and effective advertiser communications.

The role involves full-stack development for enterprise products, collaborating with teams to design solutions, and improving AI models.

This role involves partnering with product teams to define metrics for AI agents, analyzing user interaction, and improving enterprise adoption and productivity.

As a Data Scientist in the API team at OpenAI, you'll define key metrics, identify developer friction, and translate data into product decisions. Collaborating with various teams, you'll enhance data quality and create dashboards to improve platform reliability and usability.

The role involves financial planning, forecasting, and performance management for B2B products, supporting strategic initiatives and providing insights for resource allocation and decision making.

The IT Solutions Engineer manages enterprise SaaS platforms and identity controls, ensuring compliance and operational reliability through structured workflows and automation. Responsibilities include system configuration, access governance, and collaboration with security and IT teams.

The Data Scientist for ChatGPT for Work will use data to shape product strategy, define success, and drive improvements in adoption and retention, partnering with various teams for insights and experiments.

Manage special projects and cross-company initiatives focusing on product launches and safety responses. Collaborate with technical teams and ensure effective communication and prioritization during critical events.

The Head of Global Mobility and Immigration will develop and manage OpenAI’s global immigration, relocation, and mobility strategies to attract and support international talent while ensuring compliance and operational efficiency.

Lead measurement and quantitative analysis for severe actor- and network-level harms. Develop AI-first prevalence measurement, build production metrics and dashboards, optimise LLM prompts for measurement, inform detection/enforcement improvements, automate scaling, and provide reporting for leadership.