VideoAmp

VideoAmp

HQ
Los Angeles, CA
Total Offices: 5
400 Total Employees
Year Founded: 2014
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Offices at VideoAmp

VideoAmp is headquartered in Los Angeles, CA and has 5 office locations.

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: 2 days a week

U.S. Office Locations

HQ Los Angeles, CA Boulder, CO Chicago, IL New York City, NY Tampa, FL
HQ
Los Angeles, CA

Located adjacent to Santa Monica in the heart of West Los Angeles; 10 Freeway and Expo Line in immediate area.

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Boulder, CO

902 Pearl St, Boulder, CO, United States, 80302

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Chicago, IL

222 Merchandise Mart Plaza, Suite 2010, Chicago, IL, United States, 60654

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New York City, NY

575 Lexington Avenue 16th floor, New York City, NY, United States, 10022

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Tampa, FL

360 Central Avenue, Suite 1350, Tampa, FL, United States, 33701

Jobs At This Office

Search the 11 jobs at VideoAmp

Recently posted jobs

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VideoAmp

Client Success Manager

2 Days Ago
La Grange, NY + 77 More
Remote
Hybrid
Easy Apply
AdTech • Big Data • Digital Media • Marketing Tech • Sales • Software • Data Privacy
Client Success Manager at VideoAmp responsible for post-sale servicing, building client relationships, and driving retention and growth. Develop customized strategies for clients in AdTech and TV space, analyze data, and deliver value through customer-centric problem-solving. Bachelor's degree preferred.
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VideoAmp

Account Executive

2 Days Ago
La Grange, NY
Hybrid
Easy Apply
AdTech • Big Data • Digital Media • Marketing Tech • Sales • Software • Data Privacy
The Account Executive at VideoAmp will focus on achieving and exceeding revenue goals, accelerating demand for VideoAmp solutions, building relationships with clients, and staying up-to-date on industry trends.
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VideoAmp

Senior/Principal Data Scientist

3 Days Ago
Los Angeles, CA + 77 More
Remote
Hybrid
Easy Apply
AdTech • Big Data • Digital Media • Marketing Tech • Sales • Software • Data Privacy
Seeking a Senior Data Scientist to lead methodology development in advertising technology, optimize statistical methods, implement data-driven strategies, and drive innovation within the company. Responsibilities include designing advanced statistical models, collaborating with cross-functional teams, developing machine learning algorithms, mentoring junior data scientists, and communicating analytical concepts to stakeholders. Must have a Master's or Ph.D. in Statistics, Mathematics, Computer Science, or related field, with 8+ years of experience in data science, expertise in Python, SQL, statistical modeling, and machine learning.
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