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BigID — New York, England
As a Programmatic Platform Account Manager at Big Happy, you’ll play a key role in executing programmatic campaigns, ensuring seamless integration and high-performance delivery. Working closely with our team, you’ll support our strategy and campaign management efforts, while ensuring client satisfaction with best-in-class programmatic services. This is an exciting opportunity to help scale Big Happy while being an integral part of our dynamic, start-up culture.
We’re looking for a proactive candidate with a strong understanding of the ad tech ecosystem, particularly in programmatic advertising. This candidate should be a strategic problem solver and out-of-the-box creative thinker who will ensure a campaign’s success by driving great performance and a fantastic client experience. Strong analytical, communication, and problem-solving skills are essential, and a passion for learning and overcoming challenges is a must.
Benefits
, as well as the opportunity to earn quarterly bonus payouts based on company success. We’re looking for a candidate who is: Very knowledgeable and has hands-on-keyboard experience with Demand Side Platforms to assist clients in activating campaigns, as well as a very strong understanding of Supply Side Platforms and the programmatic market.
, including Healthcare, Dental, Vision HSA, FSA and Transit 401(k) match Big Happy-provided laptop Participation in Big Happy stock program Paid Parental Leave Team Happy camaraderie and encouragement every step of the way as we celebrate the wins and opportunities to fail fast and learn, and continue on your upward trajectory in your career Ability to be yourself and be successful and valued for your contributions Location: This position is: Remote for Candidates in Eastern and Central time in the United States. Hybrid, 3 days in the office, for candidates within commuting distance of our New York Office.
Compensation
: The total
for this opportunity is between $75,000 and $103,000.
is a combination of base and bonus, and is calculated based on experience and the geographical location of the selected candidate.