
United States
full-time
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Global Music/Talent agency seeks ambitious and career-oriented persons for entry-level positions in the Music department. Music Central assistants will be eligible to apply for assistant desks after training is completed.
Essential Responsibilities:
Completing a multi-week training program resulting in mastery of WME booking admin and system skills
Entering promoter offers into WME booking systems
Collecting ticket counts for WME client roster
Reviewing show contracts
Completing department and ad-hoc projects
Temporarily cover desks while assistants are away
Assisting with a variety of daily administrative/office tasks
Core Competencies:
Proficiency with Microsoft Office Suite and basic understanding of Windows OS
Familiarity with the current music industry landscape and passion for live music
Ability to handle a high volume of phone calls while maintaining professional communication
Must be detailed-oriented and able to handle complex instructions with care and follow-through
Must be an excellent multi-tasker and have proven problem-solving abilities
Demonstrates accuracy and thoroughness in execution of assigned tasks
Friendly and open demeanor with ability to maintain confidentiality at all times
Ability to adapt to changes and work in a fast paced professional environment
Dependable and proactive
Able to prioritize the workload and use time efficiently
Compensation is $21/hr.
WME is an equal opportunity employer and encourages applications from qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.
WME is an equal opportunity employer and encourages applications from qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, or religion or belief.About Endeavor
Endeavor AI is a leading Silicon Valley-based startup automating document processing for manufacturing and distribution. We recently raised a $7M seed round led by David Sacks’s (Founder/COO of PayPal) Craft Ventures, alongside Palantir’s founding team and top early stage firms like BoxGroup and Contrary.
What We Do
We work with some of the world’s largest manufacturers and distributors in automotive, steel, and construction products to automate their labor.
These enterprises employ 100’s of people whose job is to manually enter data from documents (faxes, invoices, etc.) creating major inefficiencies in supply chain and manufacturing. We go to our clients’ factories and ship automation solutions straight to prod right on the shop floor.
We automate document processing for our customers’ critical business processes: buying (Order-to-Cash or O2C), selling (Procure-to-Pay or P2P), and finance (Accounts Payable).
We're a team of AI experts and engineers from leading institutions like UC
Berkeley, UPenn, and UT Austin.
We're joined by advisors who are former C-level executives from manufacturing
giants such as Bridgestone Tires and Marmon Holdings (a Berkshire Hathaway
company).
Sahitya Senapathy https://www.linkedin.com/in/sahityas/ (Founder and CEO)
Former Palantir Forward Deployed Engineer (led AI for Manufacturing)
Former deep reinforcement learning researcher at Air Force Research Lab
UPenn M&T (Engineering + Wharton)
Josh Ludan https://www.linkedin.com/in/josh-ludan-a87043165/ (Founding
Engineer, Speciality: LLM Engineering)
UPenn Natural Language Processing PhD dropout, LLM interpretability research
Yuanbo Chen https://www.linkedin.com/in/yuan-bo/ (Founding Engineer,
Speciality: Vision Language Model Engineering
ByteDance computer vision research
UC Berkeley EECs, graduate student, National University of Singapore (NUS)
Amil Naik https://www.linkedin.com/in/amilnaik/ (Founding Engineer, Software)
Early engineer at YCombinator startups, UT Austin
Outsiders would describe our culture as quirky, intense, and intellectual.
Traits we look for:
Persistence
Heart
Desire*
Competitiveness**
Hustle
Luck***
*** It is said that Napoleon would ask his generals who was their luckiest
soldier, and promote that “lucky” soldier. Napoleon didn’t believe in luck and
believed luck is often a reflection of skill (mistaken for “luck”) and a track
record of success recognized by peers.
We're a team of AI experts and engineers from leading institutions like UC Berkeley, UPenn, and UT Austin.
We're joined by advisors who are former C-level executives from manufacturing giants such as Bridgestone Tires and Marmon Holdings (a Berkshire Hathaway company).
Sahitya Senapathy (Founder and CEO)
Former Palantir Forward Deployed Engineer (led AI for Manufacturing)
Former deep reinforcement learning researcher at Air Force Research Lab
UPenn M&T (Engineering + Wharton)
Josh Ludan (Founding Engineer, Speciality: LLM Engineering)
UPenn Natural Language Processing PhD dropout, LLM interpretability research
Yuanbo Chen (Founding Engineer, Speciality: Vision Language Model Engineering
ByteDance computer vision research
UC Berkeley EECs, graduate student, National University of Singapore (NUS)
Amil Naik (Founding Engineer, Software)
Early engineer at YCombinator startups, UT Austin
Outsiders would describe our culture as quirky, intense, and intellectual. Traits we look for:
Persistence
Heart
Desire
Competitiveness
Hustle
Luck
*** It is said that Napoleon would ask his generals who was their luckiest soldier, and promote that “lucky” soldier. Napoleon didn’t believe in luck and believed luck is often a reflection of skill (mistaken for “luck”) and a track record of success recognized by peers.
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