Figureでは、初のデマンドプランナーを募集しています。需要予測およびサプライチェーン管理の基盤プロセスを構築し、営業や製造チームと連携して生産計画を最適化します。5〜7年以上の経験とERP/MRPシステムの活用能力が必須です。複雑なハードウェア製造環境において、データモデリングを通じてサプライチェーンの効率を最大化できる人材を求めています。
Figure is an AI Robotics company developing a general-purpose humanoid designed to perform corporate tasks that address labor shortages and eliminate work that is undesirable or unsafe. Our mission sits at the intersection of advanced AI, robotics, and real-world manufacturing, and we are building the operational backbone to scale production of our humanoid platform.
Role Overview As our first Demand Planner, you will own the end-to-end demand planning function and build the foundational processes that ensure our supply chain seamlessly meets both internal requirements and market demand. You will serve as the critical link between Sales, Finance, and Supply Chain, applying statistical modeling and market intelligence to drive forecast accuracy and support aggressive growth schedules. This role blends deep analytical work with hands-on execution and cross-functional leadership. You will work closely with teams such as Commercial, Manufacturing, Quality, NPI, and Material Planning, and Global Supply Management teams to maintain a highly accurate demand signal in a fast-moving, dynamic environment.
Education
Bachelor's degree in Supply Chain Management, Business, Engineering, Finance, or a related field.
Experience
5-7 years of experience in demand planning, inventory management, supply chain operations, or production scheduling.
Experience in high-volume manufacturing or complex hardware environments
Experience managing complex Excel models and tracking non-commercial inventory consumption (e.g. yield loss, test requirements).
Technical Skills
Strong proficiency with ERP/MRP systems and data modeling (Oracle or SAP preferred).
Familiarity with hardware product lifecycles, engineering change orders (ECOs), and basic manufacturing flow/yield dynamics.
Advanced Excel skills for demand modeling.
Core Competencies
Startup agility mindset with the ability to thrive in ambiguity and build processes from the ground up.
Exceptional attention to detail with the ability to reconcile differing inputs into a single, cohesive data set that is actionable for Material Planning, Manufacturing, and NPI teams.
Excellent communication skills to navigate competing priorities between commercial deadlines and engineering requirements.
Ability to identify trends in part consumption and manufacturing performance.
The US base salary range for this full-time position is between $100,000 - $160,000 annually.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
