Vidsy
Senior Client Partner (Enterprise Partnerships)
Los Angeles, US · Senior
Sponsorship not specified$130k-$180kDetected 8 days ago
SalesAccount ManagementNegotiationProcurement
About the role
- The Focus: This is not a "maintenance" account management role.
- The Portfolio: You will be the commercial architect for 2-7 of our high potential enterprise accounts.
Responsibilities
- With teams across NYC, LA, Toronto, and London, we partner with global advertisers like L'Oréal, Amazon and PepsiCo enabling them to produce creator and AI powered video advertising at scale.
- Develop and execute complex growth plans for a portfolio of Fortune 500 brands.
- You own the renewals and the upsells, and scale your accounts at pace.
- Own the Commercial Strategy: Develop and execute complex growth plans for a portfolio of Fortune 500 brands.
- Expansion & Closing: Identify new departments, regions, and product opportunities within your accounts. You own the renewals and the upsells, and scale your accounts at pace.
Requirements
- You have 5+ years of experience in Enterprise Sales or high-growth MarTech/AdTech.
- You have a track record of closing $250k+ deals and navigating the procurement and legal hurdles of global organizations.
- The Closer: You have 5+ years of experience in Enterprise Sales or high-growth MarTech/AdTech.
- The Strategist: You have a track record of closing $250k+ deals and navigating the procurement and legal hurdles of global organizations.
- You are backed by a world-class team of Creative Strategists and Client Solutions Managers who handle the "heavy lifting" of delivery, leaving you free to focus on high-level commercial negotiation and global expansion.
- Who You Are (The Profile)
Compensation
- $130k-$180k
Benefits
- Meet the Talent Team to discuss your experience and Vidsy's vision.
Company info
- About Vidsy Vidsy is a global creative platform transforming how the world's biggest brands create video advertising across paid social.
This listing is sourced directly from Vidsy's careers page and normalized into a canonical job model.