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JobsTesla

Audio Visual Supervisor (m/w/d) – Gigafactory Berlin

Tesla

Audio Visual Supervisor (m/w/d) – Gigafactory Berlin

Tesla

Grünheide (mark), Brandenburg

·

On-site

·

Full-time

·

Today

What To Expect
We are looking for a highly motivated individual to support the company’s growing Audio Visual and event needs. The AV Supervisor will guide and support the team to fulfill the company’s vision of the next generation workplace. This position will be based in the Gigafactory Berlin area. Highly organized and confident in ability to lead and execute the AV team and integration projects within set deadlines, organizing and coordinating live events as well as developing disaster recovery plans. On-going cooperation with other departments and a range of internal and external stakeholders. This full-time role requires the flexibility of being able to attend events and functions out-of-hours when necessary.

What You'll Do

  • Supervise the day-to-day operations of the Audio Visual Team in Berlin
  • Cross-functional Collaboration: Collaborate with Engineering teams, stakeholders, and cross-functional departments to define project objectives, requirements, and deliverables. Facilitate communication and alignment throughout the project lifecycle
  • Discuss individual performance with the team to establish clear expectations for performance. This will include performance reviews.
  • Triage and respond to escalated service issues and complaints.
  • Provide troubleshooting in crisis situations for users
  • Develop and implement hardware and software integrations to streamline support
  • Provide backup support services in the absence of other AV Support Technician
  • Create end user and internal AV team documentation
  • Basic network understanding including TCP/IP, UDP, IP schemas


  • What You'll Bring

  • Minimum of 5+ years’ experience in an AV technical role with at least 2 years of a leadership role or equivalent required
  • Emphasis on Microsoft Teams experience preferred
  • Strong knowledge of AV system support including, operation, installation, and configuration of projectors, amplifiers, AV matrix routers, control systems and touch panels
  • Experience installing and configuring computer systems in a networked computing environment, and in applying diagnostic techniques for problem troubleshooting
  • Ability to independently plan and organize work, manage priorities, and utilize available resources to complete quality work within time constraints
  • Strong communication and customer service skills
  • Live event experience preferred
  • Certification or related technical certificates a plus
  • Happy to travel and attend events globally as needed with a valid driver's license


  • , 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

    Senior/L5

    Junior/L3 · Production Associate

    1,043 reports

    $44,519

    total / year

    Base

    $44,519

    Stock

    -

    Bonus

    -

    $36,025

    $55,017

    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