AI Corporate Strategy Associate - FF Academy

The Company Faraday Future (FF) is a California-based embodied artificial intelligence ecosystem company, leveraging the latest technologies and world's best talent to realize exciting new possibilities in mobility and robotics. We're producing user-centric, technology-first vehicles and robots to establish new paradigms in human-AI interaction. At FF, we're creating something new, something connected, and something with a true global impact. Your Role FF is treating the company itself as a product built on top of its AI capabilities. As the Corporate Strategy Associate, you will be the analytical and execution engine behind that effort. You will work directly with senior leadership to map how the company operates today, identify what AI agents and automation can replace or simplify, and help design a lean, AI-native operating model. You are not here to add process. You are here to remove it. This is an exceptional seat for a technically strong new graduate who wants early exposure to company-level decisions. Key Responsibilities Support the design of the company's AI-First strategic roadmap, operating model, and organizational structure Map current business, product, and organizational processes, and identify what can be replaced, simplified, or consolidated by AI agents and automation Build analyses, models, and prototypes (using code and AI tools) to evaluate options, quantify impact, and support leadership decisions Prototype AI agents and automated dashboards that give leadership real-time visibility into strategy, business, and execution Help run a lightweight operating cadence (weekly, monthly, quarterly) anchored on data and AI-assisted decision-making Prepare executive briefings, decision memos, and board-level materials that are clear, concise, and decision-ready Partner with the AI Operations team to use internal operations as the first user and validation ground for FF's AI products Track strategic initiatives, surface risks early, and remove execution blockers across Product, Engineering, Marketing, and Business teams Research the AI, robotics, and mobility landscape, including competitors, technologies, and partners, and turn findings into recommendations Basic Qualifications Bachelor's or Master's degree in Computer Science, AI, Data Science, EE, Robotics, or a closely related technical field, completed or expected within the next 6 months (or graduated within the past 12 months); strong business/AI double-majors also considered Deep curiosity about, and hands-on experience with, LLMs, AI agents, and workflow automation, including a realistic sense of where AI should and should not be applied Proficiency in Python and/or SQL for analysis and prototyping Strong structured thinking: able to break an ambiguous problem down, form a point of view, and defend it with data Excellent written and verbal communication, including the ability to write for executives Product mindset: able to treat "how the company operates" as a problem to be defined and iterated on Ability to work 100% onsite in El Segundo, CA Legally authorized to work in the United States Preferred Qualifications Internship or project experience in strategy, consulting, product, or chief-of-staff style roles Experience at a startup or AI/tech company, or leading a student venture, research project, or hackathon team Experience building AI agents, copilots, or automation-class products Familiarity with robotics, EV, or mobility industries Bias toward lean execution: comfortable doing the work of a much larger team with AI leverage A portfolio, GitHub, or written analysis demonstrating your thinking Target Majors Computer Science, Artificial Intelligence (including AI for Business), EECS, Data Science, Electrical Engineering, Robotics, and technical-plus-business combinations. Preference for candidates who can code or major in CS. Target Universities and Programs USC: B.S. in Artificial Intelligence; B.S. in Artificial Intelligence for Business (Marshall + Viterbi); M.S. in Computer Science (Artificial Intelligence) UCLA: Computer Science and related majors; M.Eng. with Artificial Intelligence area of study; M.S. in Computer Science UC Berkeley: Computer Science, EECS, Data Science; Master of AI and Machine Learning (MAIML); EECS graduate programs $72,000-$75,000 Compensation Range