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(Associate) Production Engineering Manager Cell Assembly, Battery Cell (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

(Associate) Production Engineering Manager Cell Assembly, Battery Cell (m/w/d) - Gigafactory Berlin-Brandenburg

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
Tesla accelerates the world’s transition to sustainable energy. Revolutionary strategies and products have been developed and scaled rapidly, made possible by exceptional speed, innovation, and efficiency.

The ideal candidate has a proven track record of building new teams and leading complex, high-volume production teams in areas like cell/battery production, semiconductors, integrated circuits, displays, etc. This role will lead engineers to improve, optimize and develop the high-throughput Cell Assembly manufacturing lines. This is a cross-functional role that requires coordination between many different teams within of Tesla.

What You'll Do

  • Lead engineering teams to refine and enhance high-throughput manufacturing processes, prioritizing efficiency, quality, and cost targets.
  • Maintain a culture that prioritizes safety and quality through communication, action, and accountability
  • Partner with operations teams and other stakeholders to resolve bottlenecks, improve line productivity, and ensure alignment with production goals.
  • Use validated production data to evaluate issues, select appropriate methodologies, and implement solutions within established procedures.
  • Allocate personnel and financial resources to meet departmental objectives, balancing competing demands and tight deadlines.
  • Mentor and develop engineering staff, ensuring expertise in process optimization and adherence to Tesla’s high standards.
  • Suggest improvements to company policies and establish procedures that directly impact organizational performance.


  • What You'll Bring

  • Bachelor’s or advanced degree in a technical discipline (e.g., mechanical engineering, industrial engineering) or equivalent experience.
  • Demonstrated success leading engineering teams focused on designing and optimizing high-volume manufacturing systems.
  • Experience in mass production industries (e.g., battery cell manufacturing, automotive, semiconductors, consumer electronics, energy systems, beverage).
  • Proficiency in analyzing and improving production metrics (efficiency, quality, safety, throughput, costs).
  • Ability to work under pressure, assess dynamic conditions, and prioritize conflicting demands.
  • Operate independently to achieve goals, proposing policy changes and establishing procedures that affect the organization.
  • Develop schedules, budgets, and performance targets while managing risks that could impact short-term objectives.
  • Strong communication skills in English (written and verbal) for cross-functional coordination and mediation. German language skills are a plus.
  • Advanced MS Office fluency (Word, Excel, PowerPoint) for data analysis and reporting.


  • , Tesla

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    About Tesla

    Tesla

    Tesla

    Public

    A financial leasing taxi company that provides vehicles to customers

    140,000+

    Employees

    Ciudad De Panamá

    Headquarters

    $800B

    Valuation

    Reviews

    3.1

    5 reviews

    Work Life Balance

    1.5

    Compensation

    1.2

    Culture

    1.3

    Career

    1.8

    Management

    1.1

    15%

    Recommend to a Friend

    Pros

    Strong financial performance

    Revenue growth

    Company achieving targets

    Cons

    Poor compensation and raises below inflation

    Union-busting and anti-labor practices

    Unpaid work demands and wage theft

    Salary Ranges

    3,570 data points

    Junior/L3

    Mid/L4

    Junior/L3 · Associate Analyst

    2 reports

    $94,875

    total / year

    Base

    $82,500

    Stock

    -

    Bonus

    -

    $92,000

    $97,750

    Interview Experience

    4 interviews

    Difficulty

    3.5

    / 5

    Duration

    14-28 weeks

    Experience

    Positive 0%

    Neutral 75%

    Negative 25%

    Interview Process

    1

    Application Review

    2

    Recruiter Screen

    3

    Technical Phone Screen

    4

    Take-home Assignment

    5

    Panel Interview

    6

    Offer

    Common Questions

    Coding/Algorithm

    Technical Knowledge

    Behavioral/STAR

    System Design

    Machine Learning Concepts