AI Corporate Strategy Director

Faraday Future•El Segundo, CA

8d•$185,000 - $210,000•Onsite

About The Position

We are looking for a leader who can reshape the way our company is strategically designed and operated through an AI-product mindset. The first responsibility of this role is not to "push AI adoption into a traditional organization" — it is the opposite: to treat the company itself as a product built on top of our AI capabilities, and to design its organizational structure, processes, staffing, and decision-making mechanisms around our core AI products. This role suits someone who combines AI transformation experience, product thinking, and operational instinct, and who has a clear point of view on what an AI-native company should look like. We are not looking to build a heavyweight traditional operating system — we are looking for someone who can use AI to drive change at the management layer and make the company itself the best showcase of our AI products. As a first responsibility-level role — you are not designing a process, you are designing how this company operates. Our in-house and external AI products are both your toolkit and the objects you are validating and refining. Direct collaboration with the founder, product, and engineering core — an extremely short decision chain. A genuine opportunity to redefine what a company can be with AI — not yet another AI project inside a traditional company Treats the company itself as a product, not an organization to be managed Genuinely AI Native — not just "comfortable using AI tools," but defaults to asking "can AI do this?" for every problem A conviction in staying lean: if one Agent can solve it, don't build a team for it Judgment that operates on the same wavelength as the founder — able to decide under ambiguity and own the outcome

Requirements

15+ years of experience in product, strategy, or company-level operations, with at least 3 years in a core role at an AI / tech company during a 0-to-1 or 0-to-N stage
Bachelor’s or advanced degree in CS, Robotics, EE, or a closely related technical field.
Deep understanding of LLMs, AI Agents, and workflow automation — including their capability boundaries — with sound judgment on where AI should and should not be applied
Product mindset — able to treat "how the company operates" as a product problem to be defined, decomposed, and iterated on
Aversion to redundant process; commitment to minimum-necessary operations; proven track record of replacing traditional management activities with tools and automation
Able to engage directly with the founder, Head of Product, and Head of Engineering — and to translate and broker tradeoffs among them

Nice To Haves

Product or operations background in AI products — particularly Agents, Copilots, or automation-class products
Prior experience in a "company-building" or Chief of Staff type role within a small, high-density team
Familiarity with the domain our existing AI products operate in, with the ability to quickly form a view on the product-organization-market relationship
Startup experience, with a deep bias toward "lean" — capable of producing 50-person output with a 5-person

Responsibilities

Designing the Company as an AI Product: Guided by the company's "AI First" strategy, design the strategic roadmap, operating philosophy, organizational form, role structure, and overall collaboration model of the company's AI transformation — so that the way the company runs becomes a natural extension of our AI product capabilities. Identify which traditional businesses and functions can be replaced or restructured by AI products / Agents, and lead the transition from "human-driven processes" to "human + AI Agent driven processes". Work closely with AI Operations, Product, and Engineering teams to position internal company operations as the "first user" and validation ground for AI product planning
Integration and Lightweight Redesign of Existing Systems: Map the company's current business, product, organizational, and process landscape, and identify the parts that can be replaced, simplified, or consolidated by AI. Avoid stacking heavyweight management processes; prefer AI Agents, automation, and data-driven feedback loops over human coordination. Integrate the existing tool stack with the company's AI products — build on what's there rather than starting from scratch
AI Transformation Framework and Cadence: Partner with the founder and executive team to define the key decision-making framework at the company level, keeping strategy, business, product & technology, and organization in sync. Design a lightweight operating cadence (weekly / monthly / quarterly) anchored on data and AI-assisted decision-making, rather than replicating traditional management systems. Maintain equally clear judgment on "what not to do" and "what to delegate to AI"