
New York
$53k - $71k
full-time
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Agent Associate
Who We Are:
The Agent Associate – Data management & Deal Execution is responsible for the accurate execution of opportunity entry, database maintenance, and standardized administrative support across the agency. This role ensures that opportunities and deals move cleanly through established systems and processes, allowing Agents, Senior Agents, and Speaker Representation to focus on revenue generation. This is an execution-focused role that operates within defined workflows and templates. It does not involve pricing, negotiation, or independent decision-making.
Opportunity & Database Management
Enter all opportunities and related data into the CRM accurately and promptly
Maintain CRM hygiene, including required fields, coding, and status updates
Ensure data integrity and consistency across all opportunity records
Support periodic audits and database cleanup efforts as directed
Standardized Administrative Execution
Prepare and manage standardized documents using approved templates
Support deal workflows through defined administrative steps
Track required follow-ups and documentation through completion
Ensure files and records are complete, accurate, and properly stored
Low-Fee / No-Fee Deal Execution
Execute low-fee and no-fee opportunities using pre-approved templates and workflows
Follow defined eligibility rules and escalation protocols
Route exceptions for review rather than attempting resolution
Agency & Cross-Department Support
Provide administrative support to Agents, Senior Agents, and Speaker Representation within defined processes
Coordinate with the Agency to implement updated workflows and standards
Assist with training adherence by following documented SOPs and checklists
Support cross-department data consistency and process alignment
You Have These:
2–5 years of experience in an administrative, data management, or coordination role
Experience working with CRM systems and maintaining structured data
Strong attention to detail and comfort operating within defined processes
Ability to manage multiple tasks and deadlines reliably
Clear written and verbal communication skills
Comfort working within established authority and escalation structures
We'd Love If You Also Have These:
Experience in professional services, legal support, events, or agency environments
Familiarity with contract workflows or standardized documentation
Prior experience supporting sales or business development teams
How We Work:
WME Group is at the center of sports, media, entertainment, and fashion and is a largely relationship-based business. To foster an environment of collaboration, develop our future talent, and build on relationships across leadership, peers, and teams, we work from the office 4 days per week. We see immeasurable value internally and throughout the core of the businesses we support.
Don’t meet every single requirement? We are dedicated to building a diverse, inclusive, authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Per local requirements and in the interest of transparency, the hourly rate shown below reflects the prevalent current hiring range for this position. Hiring pay rates are based on a number of factors, including location and may vary depending on job-related qualifications, knowledge, skills and experience. The company strives to provide locally competitive rewards packages, which include base rate along with, as applicable, short- and long-term incentives, growth and developmental opportunities, and robust benefits, such as health care, retirement, vacation and other paid time off, and additional offerings.
Hiring Rate Minimum:
$53,250 annually (minimum will not fall below the applicable state/local minimum salary thresholds)Hiring Rate Maximum:
$71,000 annuallyWME 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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