My path to being a Technical Recruiter started when I was a Sales Rep selling Telecom services back in 1996. One of my calls was to a small recruiting firm in Foster City, which ended up recruiting me and my life has been recruiting focused since.
While the mechanics of a job search are very basic, its the intricate details that can muddle things up. That's where my experience comes in. One thing I will never do is to send your resume to a client without finding out if you are interested in the opportunity.
I am also a firm believer that if I treat my candidates and clients with respect and professionalism, they will be relationships for life. This is important, as the key to being a successful recruiter is the ability to have candidates feel comfortable about giving their friends as referrals.
Have you ever wondered how videos go viral? It takes work, and our client is the leading social video advertising platform and distribution network. What they provide to their customers & advertisers is a repeatable, scalable and transparent approach to distributing creative brand video content that guarantees reach and maximizes shared engagement.
Their customers include top brands, media and creative agencies. The company has run over 200 social video advertising campaigns, including some of the most watched brand videos to-date., including Mercedez Benz, Captain Morgan Rum, Microsoft, Yahoo, GAP, Honda, Buick, EMC, XBox, Redstripe Gum, Sony, Craftsman, Lego, Orbit Gum and Activision to name a few of their successes.
-Located in San Franciscos Financial District minutes from the Ferry Building and Chinatown
-Competitive salary and stock options
-401k, health and dental insurance
- Lots of snacks and drinks (of course!)
Is Data your passion, especially big data? If so, we are looking for engineers experienced with data processing and warehousing to design and implement the foundation for the future of video analytics. As an early member of our big data team, you will play a significant role in defining our strategy around high volume data analysis; processing huge amounts of data to power insights and optimizations for our data-hungry campaign operations and product teams.
-Architect and implement a scalable storage and processing infrastructure
-Provide input into the entire data life cycle (collection, storage, organization and analysis)
-Work alongside application engineers to surface insights to internal and external customers
-Create a robust set of tools to enable rapid exploration, development and deployment of solutions around data processing.
-Experience with Map/Reduce-style architectures like Hadoop
-Successful deployment and long-term maintenance of a robust data pipeline
-Experience with web infrastructure, distributed systems and databases
-BS or MS in Computer Science or equivalent work experience