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Dynamic Yield’s unified customer engagement platform helps marketers increase revenue by automatically personalizing each customer interaction across the web, mobile web, mobile apps and email. The company’s advanced customer segmentation engine uses machine learning to build actionable customer segments in real time, enabling marketers to take instant action via personalization, product/content recommendations, automatic optimization & real-time messaging.
As a member of the Customer Success Team, your main objective is to assist with project delivery, maintaining a high level of satisfaction for our customer.
What you need to succeed:
– You will have a technical degree as well as working experience in a professional services/consulting environment of an enterprise software company or consultancy. Self-taught hackers are also welcome.
– Knowledge of online marketing functions is an asset, though not required. You will be comfortable responding to the varying demands of working for a dynamic, international company.
– Bonus if you have experience working with online Publishers or eCommerce.
– You are a self-motivated individual, with well-developed inter-personal & communication skills and a strong desire to succeed.
Required Skills: – Fluency in JavaScript skills and experience with jQuery.
– HTML / CSS and web technologies across different platforms.
– Business analysis and understanding of the digital marketing space, especially in the field of online marketing.
Email interest to [email protected]Bloomberg-Kimmel Cancer Center at John Hopkins
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0: http://www.placemeter.com/privacy
1: david [at] placemeter [dot] com
Show HN: Placemeter Sensor – count people, bikes, and cars in real-time
APPLY HERE: http://grnh.se/1yvxfb
We are looking for computer vision engineers from entry level to experienced level, to extend, develop, and maintain our algorithm stack.
+ You will design the next generation of computer vision algorithms
+ You will optimize and deeply understand these algorithms and scale them
+ You will design and maintain the quality assessment tools required to make sure
our algorithms perform well
We use computer vision at a massive scale, on a large number of rich and ubiquitous video feeds, to understand what is going in in the physical world in real time. We measure how busy places are, what people do, how fast cars go, and much more. We offer that data to developers, citizens, cities, and retailers, radically changing the way they interact with the physical world.ABOUT PLACEMETER
Placemeter uses computer vision algorithms to create a real time data layer about places, streets, and neighborhoods. Placemeter’s technology gives businesses, cities, and people the ability to take a place’s pulse.
APPLY HERE: http://grnh.se/1yvxfb