New

Product Manager, Logistics Industry

El Segundo, California, United States

The Company: 

About FF Robotics Ecosystem Inc. 

FF Robotics Ecosystem Inc. (Nasdaq: FFR) is a U.S.-based embodied AI robotics ecosystem company. Through EAI Devices, the EAI Brain and Developer Platform, EAI Data, and Industry Productivity Solutions, FFR is building its "Four-Core Full-Stack AI" Ecosystem. With its "One-Brain Multi-Form Multi-Capability" approach, FFR is leading the rapid growth of the U.S. robotics industry. FFR is also the first company in the U.S. to deliver both humanoid and bionic robots. 

Your Role:

This is a Product Manager position within the Product Department, with additional responsibilities supporting the Industrial & Logistics Ecosystem PLE. You will define next-generation robotics solutions for industrial and logistics applications, collaborate on solution architecture design, and drive product development planning and execution, taking products from concept validation through mass production and commercialization.

Responsibilities:

  • Define next-generation robotics solutions for industrial and logistics: dive deep into warehousing, sorting, material handling, and production-line logistics scenarios; deliver product vision, roadmap, and PRDs.
  • Lead solution architecture design: collaborate with algorithm, software, and hardware teams to design end-to-end solutions spanning robot platforms, fleet management systems, and WMS / ERP integrations.
  • Drive product development planning and execution: develop project plans and key milestones, track R&D progress, coordinate cross-functional resources, and ensure timely, high-quality product delivery.
  • Conduct market and competitive research, identify product opportunities, and build business cases and product strategies.
  • Serve as the bridge between Sales, customers, and R&D teams; support pre-sales solutioning, customer demos, and pilot project deployments.
  • Own full product lifecycle management; iterate continuously based on customer feedback and data to safeguard product competitiveness and profitability.
  • Support the Industrial & Logistics Ecosystem PLE in driving end-to-end business execution, including ecosystem development, product commercialization, customer solution delivery, and cross-functional coordination, with a focus on achieving business growth, revenue, and profitability objectives.

Basic Qualifications:

  • Bachelor's degree or above in Mechanical Engineering, Automation, Computer Science, Logistics Engineering, or a related field.
  • 5+ years of experience as a product manager, solutions architect, or in a related role, with a background in robotics, industrial automation, or logistics.
  • Familiarity with warehousing and logistics scenarios; knowledge of mainstream technologies and solutions such as AGV / AMR, automated sortation, and WMS.
  • Excellent requirements analysis, documentation, and cross-functional communication skills.
  • Familiarity with agile development processes; able to independently drive complex projects to completion.

Preferred Qualifications:

  • Experience with mobile robots (AMR / AGV) or industrial robotics products / solutions preferred.
  • Experience in solution architecture design or pre-sales technical solutioning preferred.
  • Track record of leading robotics projects from 0 to 1 into mass production preferred.
  • Fluent English; able to read English technical documentation.
  • Genuine passion for the robotics industry, self-driven, and comfortable with multitasking.

Annual Salary Range:

$140,000 - $160,000  plus benefits and incentive plans

 Perks + Benefits

  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • 401(k) options
  • Casual dress code + relaxed work environment
  • Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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