Senior Robotics AI Product Leader

Faraday Future Inc.; El Segundo (CA); Presencial; USD 180.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare + dental + vision

401(k) options

Casual dress code + relaxed work env

Diverse, progressive atmosphere

Descripción de la vacante

Faraday Future is seeking a Senior Staff Product Manager to lead the FF Robotics EAI Brain portfolio. Based in R&D, you will translate market insights into clear requirements, release plans, and acceptance criteria, owning product definition and backlog for complex embodied AI systems.

You will drive delivery commitments, define acceptance criteria, and lead scenario reviews, real-robot validations, and release readiness with engineering and QA.

Formación

• 12+ years of experience in robotics/AI software product definition.
• Ability to turn high-level product direction into precise requirements and acceptance criteria.
• Strong fluency in AI software systems and related dependencies.
• Track record shipping products through cross-functional teams with clear quality standards.
• Clear written communication and ability to influence senior stakeholders.

Responsabilidades

• Translate market needs into product requirements and measurable success criteria.
• Define detailed product behavior and interface requirements for engineering execution.
• Own the product backlog, priorities, and release scope with traceability.
• Lead acceptance reviews, demos, and usability evaluations on real robots.
• Establish release readiness and coordinate with release authorities.

Conocimientos

12+ yrs exp

AI software fluency

Cross-functional leadership

Stakeholder influence

Bachelors in CS/Eng

Educación

Bachelor’s degree in CS/Engineering

Herramientas

Jira

Confluence

Descripción del empleo

Faraday Future is seeking a Senior Staff Product Manager to lead the FF Robotics EAI Brain portfolio. Based in R&D, you will translate market insights into clear requirements, release plans, and acceptance criteria, owning product definition and backlog for complex embodied AI systems.

You will drive delivery commitments, define acceptance criteria, and lead scenario reviews, real-robot validations, and release readiness with engineering and QA.