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求人Tesla

Material Planner

Tesla

Material Planner

Tesla

Austin, Texas

·

On-site

·

Full-time

·

Today

What To Expect
The Supply Chain Material Planner is responsible for ensuring raw materials, components and subassemblies are delivered to Tesla production sites to support production needs, at optimal efficiency. This individual must fully understand Tesla’s supply chain and production operations, as well as be an expert on their assigned product or commodities. They will deploy inventory strategies, be responsible for product change and associated material planning implications, manage and solve exceptions, and drive supplier execution. This role involves daily management of supply and constraints, status reporting and escalation, supplier engagement and the relentless pursuit of operational excellence and continuous improvement. The Supply Chain Material Planner role is typically global in scope, and requires cross-functional engagement within Tesla and across the extended Supply Chain.

What You'll Do

  • Create and deploy supply requirements to the supply base via MRP which achieves production, inventory and cost objectives. Ensure demand from all sources (production, aftermarket, engineering, etc.) is supported appropriately
  • Manage planning system parameters and master data to optimally reflect supply chain capabilities and plan supply. Manage engineering changes to minimize obsolete inventory and ensure continuous supply
  • Deliver clear-to-build status, material coverage, run-out reports and other analyses as needed to plan production and business targets. Provide data-driven decision support to the broader organization through what-if and scenario planning (as examples)
  • Apply analytics and supply chain expertise to manage system parameters and meet target inventory and service level goals while minimizing costs and obsolescence. Partner with IT and other business stakeholders on planning process and system improvements
  • Build and maintain operational partnerships with assigned suppliers. Act as the primary interface with suppliers on delivery status, issues and resolution. Escalate to commercial or technical partners when required (procurement, accounts payable, quality, engineering, etc.)
  • Support onboarding and training of new suppliers to ensure operational excellence and compliance with Tesla’s supply chain processes and policies
  • Coordinate supplier ramp up and down for new product launches, ensuring suppliers deliver shipments needed to support production targets. Manage safety stock levels and optimize logistical efficiency by managing EOQs


  • What You'll Bring

  • At least 3 years’ experience in manufacturing, finance, or supply chain management
  • Degree in Supply Chain, Finance, Industrial Engineering or similar discipline or equivalent experience. CPIM or APIC training is a plus
  • Strong knowledge of MRP/ERP with a solid understand of discrete manufacturing, bills of material, product lifecycle management, procure to pay processes and supply chain operations
  • Excellent analytical and problem-solving skills. Ability to evaluate and analyze data to enable operational decision-making or present clear recommendations to leadership
  • Passionate and high energy, with the diplomacy and cooperative style necessary to positively influence others, both inside and outside of Tesla
  • Ability to write, speak and present effectively and persuasively. High Proficiency in MS Excel (advanced)
  • Ability to work independently on multiple tasks and projects in a dynamic, fast paced environment. Flexibility and adaptability are key


  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • Medical plans > plan options with $0 payroll deduction
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
  • Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
  • Company paid Basic Life, AD&D
  • Short-term and long-term disability insurance (90 day waiting period)
  • Employee Assistance Program
  • Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
  • Back-up childcare and parenting support resources
  • Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Weight Loss and Tobacco Cessation Programs
  • Tesla Babies program
  • Commuter benefits
  • Employee discounts and perks program


  • , Tesla

    総閲覧数

    0

    応募クリック数

    0

    模擬応募者数

    0

    スクラップ

    0

    Teslaについて

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    従業員数

    Ciudad De Panamá

    本社所在地

    $800B

    企業価値

    レビュー

    3.1

    5件のレビュー

    ワークライフバランス

    1.5

    報酬

    1.2

    企業文化

    1.3

    キャリア

    1.8

    経営陣

    1.1

    15%

    友人に勧める

    良い点

    Strong financial performance

    Revenue growth

    Company achieving targets

    改善点

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    給与レンジ

    1,397件のデータ

    Junior/L3

    Mid/L4

    Senior/L5

    Junior/L3 · ASSOCIATE MANAGER, LOGISTICS

    2件のレポート

    $131,600

    年収総額

    基本給

    $114,400

    ストック

    -

    ボーナス

    -

    $131,600

    $131,600

    面接体験

    4件の面接

    難易度

    3.5

    / 5

    期間

    14-28週間

    体験

    ポジティブ 0%

    普通 75%

    ネガティブ 25%

    面接プロセス

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    よくある質問

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts