Product Manager

Faraday Future•El Segundo, CA

14d•$115,000 - $130,000

About The Position

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. We’re not just seeking to change how our cars and robots work – we’re seeking to change the way we drive and interact with machines. At FF, we’re creating something new, something connected, and something with a true global impact. Under its expanded EAI (Embodied Artificial Intelligence) strategy, FF has launched the FF EAI Brain — a next-generation robotics intelligence platform designed to power quadruped and humanoid robots with advanced perception, motion control, and decision-making capabilities. The FF EAI Brain Robotics Developer Open Platform is FF's strategic initiative to open its core robotics intelligence stack to the world. By providing developers, researchers, enterprises, and innovators with access to its SDKs, APIs, cloud infrastructure, and physical Developer Labs, FF aims to cultivate a thriving third-party ecosystem that accelerates real-world robotic application development. The Developer Platform Product Manager will be the product owner of this ecosystem — defining what gets built, why, and for whom.

Requirements

4–7 years of product management experience, with at least 2 years specifically owning a developer platform, API product, or technical infrastructure product.
Bachelor's degree in Computer Science, Software Engineering, Robotics, or a related technical field. Advanced degree is a plus.
Hands-on software development experience in any programming language, with the technical fluency to interpret API documentation, assess SDK architecture, evaluate implementation tradeoffs, and collaborate effectively with engineering teams.
Candidates should have practical experience building with APIs, ideally in a developer or technical contributor capacity.
Demonstrated ability to write crisp, well-reasoned PRDs and user stories; run structured discovery processes; prioritize ruthlessly under resource constraints; and ship products that real users love.
Strong instinct for what makes a developer experience excellent vs. merely functional.
Comfortable defining product metrics, designing instrumentation requirements, and using data to make and defend product decisions.
Strong bilingual communication skills (English and Chinese) with the ability to write precise technical documentation and deliver compelling product narratives to both engineering teams and executive stakeholders.

Nice To Haves

Experience working at a company with an established external developer ecosystem — including APIs, SDKs, developer platforms, or technical partner communities — is strongly preferred.
Prior experience building developer platforms in the robotics, AI/ML, IoT, or embedded hardware domain
Experience with analytics tools and A/B testing frameworks is a plus.
Familiarity with ROS (Robot Operating System) or similar robotics middleware and development frameworks
Experience designing API versioning strategies, deprecation policies, and backward-compatibility frameworks
Background in designing and operating application marketplaces or partner app review workflows
Understanding of developer incentive structures, tiered access models, or usage-based pricing for platform products
Experience at a company recognized for developer experience excellence (e.g., Stripe, Twilio, AWS, NVIDIA, or comparable)

Responsibilities

Define and own the multi-horizon product roadmap for the FF EAI Brain Developer Open Platform, covering the developer portal, API/SDK offerings, application marketplace, cloud developer services, and developer tooling.
Translate the platform's business objectives into a coherent, prioritized sequence of product bets — and communicate that roadmap clearly to engineering, leadership, and external developer partners.
Work closely with the robotics engineering team to define the capabilities, interfaces, versioning strategy, and release cadence of the platform's core APIs and SDKs (spanning motion control, perception, sensor fusion, and decision-making modules).
Ensure APIs are well-designed, stable, and genuinely useful to target developer segments — from individual researchers to enterprise integration teams.
Own the quality of the end-to-end developer experience: onboarding flows, API documentation, code samples, quickstart guides, sandbox environments, error messaging, and self-service support tooling.
Obsess over reducing time-to-first-success for new developers and eliminating friction across the entire developer journey.
Define the product vision and feature roadmap for the developer portal and application marketplace — including developer account management, API key provisioning, usage dashboards, app submission and review workflows, and marketplace discovery features.
Partner with design and engineering to deliver a portal experience that sets a high bar for developer platforms in the robotics industry.
Define and maintain a clear taxonomy of developer segments (individual hobbyists, youth developers, academic researchers, enterprise teams, hardware OEMs, system integrators) and their respective needs, use cases, and platform requirements.
Use this segmentation to inform feature prioritization, tiered access design, and go-to-market strategy for platform releases.
Serve as the connective tissue between engineering, design, developer operations, business development, legal, and marketing.
Write clear PRDs and user stories, run structured discovery and sprint planning processes, and ensure platform releases are delivered on scope and on schedule.
Lead go-to-market planning for new API versions, SDK releases, and major platform features.
Define the metrics that matter for the developer platform — activation rates, API call volume, SDK adoption, developer retention, app submission rates — and build the instrumentation and feedback loops needed to track them.
Use quantitative data and qualitative developer feedback to continuously refine the platform and drive measurable improvements in ecosystem health.