Smartly
Executive Assistant
New York, New York, United States
Sponsorship not specified$28k-$45kDetected 8 days ago
Project ManagementCustomer SuccessCustomer SupportCommunicationProblem SolvingOrganizational SkillsMicrosoft Office
About the role
- Smartly is looking for an Executive Assistant to join our fast growing team!
- You should also be comfortable handling highly confidential information, juggling scheduling across multiple time zones, and thrive in a fast-paced environment.
Responsibilities
- Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands.
- We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok.
- Together, we want to create and maintain an inclusive environment where everyone feels respected and heard.
- Support our SVP, Ecosystems Partnerships & AI Applications, the SVP, Customer Success and the broader US commercial teams
- Actively manage/own the executives' calendar including arranging and prioritizing meetings
- Collaborate cross-functionally to improve existing business operations
Skills
- Attention to detail and strong communication skills are essential!
Compensation
- $28 to $45 USD per hour
- The base pay range for this position is as mentioned.
- We take into consideration an individual's background, expertise, and experience in determining final salary.
- Salary in USD: $28 to $45 USD per hour
Benefits
- Five weeks paid time off (PTO), 11 company paid holidays, unlimited sick days
- Generous healthcare packages & mental health benefits
- 401K plus matching & equity grants for all new Smartlies
- Wellness benefit & learning reimbursement opportunities
- Volunteer time off days & company donation matching opportunities
- Our Diversity, Equity & Inclusion approach is at the heart of it.
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This listing is sourced directly from Smartly's careers page and normalized into a canonical job model.