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Technical Program Manager (m/w/d), Cabin Engineering - Berlin, Germany

Tesla

Technical Program Manager (m/w/d), Cabin Engineering - Berlin, Germany

Tesla

Kreisfreie Stadt Berlin

·

On-site

·

Full-time

·

Today

What To Expect
Join Vehicle Engineering in Berlin to help launch the next generation of cutting-edge automotive products for Tesla. Our world-class engineering teams operate with a non-conventional automotive product development philosophy of high interdisciplinary collaboration, flat organizational structure, and technical contribution at all levels. You will be expected to challenge and be challenged, to create, to innovate. You must want to work in a fast-paced environment company. We are building real products. This must excite you.

This role focuses on defining, driving, and implementing program requirements for Cabin (Seats and/or Interior) systems and components from concept development to mass production and sustaining across Tesla factory locations in Fremont, Shanghai, and Berlin. Collaboration with cross-functional teams including Design Studio, Engineering, Supply Chain, Manufacturing, NPI, Production, and Service is essential to establish a new program cadence and ensure successful global implementation.

What You'll Do

  • Define and drive program requirements, workflows, and timelines for cabin systems from concept to mass production
  • Collaborate with suppliers to align their timelines with program deliverables and manage engineering changes impacting cost and timing
  • Establish a roadmap to support the launch of new features and functionality in the product lineup
  • Facilitate system design reviews to encourage the maturation of engineering design topics for early development, closure of launch issues, etc.
  • Lead global pilot launches by building cross-functional partnerships and driving results across the organization
  • Identify risks, resolve conflicts, and provide actionable solutions to ensure program readiness and timely delivery
  • Document milestones, monitor schedules, and update program plans to maintain accurate progress tracking
  • Support Tesla test engineering teams and suppliers to execute DVP plans and ensure timely validation of systems and components


  • What You'll Bring

  • Education in Mechanical Engineering, or equivalent experience
  • Experience in product development, ideally with multiple delivered products in medium-to-high volume industries
  • Motivated, active collaborator with interpersonal, communication, and collaboration skills for working in a highly cross-functional environment
  • Experience in fast-paced settings with end-to-end product deployment from concept through successful launch
  • Knowledge of seating, interiors, and vehicle architectures with familiarity in BOM, 3DX PLM, and cross-functional collaboration
  • Ability to manage diverse teams and work cross-functionally with attention to detail and strong organizational skills
  • Proficiency in project management and communication tools such as Confluence, Jira, and scheduling software


  • , 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