Customer Success Engineer

Mountain View, CA
Solutions Engineering
Treasure Data is seeking a creative and process-driven individual to build a world-class Customer Success program in the role of Customer Success Engineer.   The Customer Success Engineer role  embodies the critical intersection of technical expertise and a fanatical focus on customer satisfaction.  This role is tasked with helping Arm Treasure Data customers with solution architecture, answer key technical questions and ensure successful adoption of Arm Treasure Data's Platform and technology. 
Things you will do 
Provide a smooth transition from pre-sales or Implementation phase to production solution management and continuous adoption. Work with Customer  Success Managers to determine  account strategy and collaborate on making sure each assigned account is a success. Help customers understand the value of Treasure data as a Customer Data Platform, understand how they can build ETL pipelines, Data lakes, and IOT scenarios. Be the Subject matter expert in all things Treasure Data. Equipped with solid knowledge of our Cloud based Customer Data platform, you will provide the expertise to customers towards a successful, scalable customer implementation.  Guide customers and prospects in architecture and implementation of their use cases on the treasure data platform. Monitor customer adoption and product utilization, understand exactly how customers are using our platform and how that aligns to their business objectives Provide consistent customer experience feedback to TD support and product development teams to ensure continual improvement of TD’s solution offerings. Participate in driving product go-to-market strategy with customers. 
Your background and skills will include 
A strong background in data & technology and an extensive track record(5-10 years or more) of  Customer focused solutions including previous experience in customer success/customer adoption.  Good understanding of Marketing  Analytics and the Martech/Adtech Industry 7+  years of experience in SQL, and have successfully sold and/or deployed data-oriented solutions in the recent past (DW, BI, ETL, Hadoop, etc). 5+ years of experience in a scripting  language – Python, Java or Ruby.. A good understanding of Web development with technologies such as Javascript, node.js and html. Have strong customer communication skills as well as the ability to dive into technical topics and know-how, to successfully work as a trusted advisor to ensure the success of prospects and customers Engagement with developers, business analysts, and IT confidently and succinctly and understand how they want to work with data. This is a hands-on role – be ready to jump in and use the product from your first day. Your primary work location is in Mountain View, CA at our corporate office. 
We would be thrilled if you 
·       Have experience selling Cloud-based or SaaS products 
·       Have a good understanding of Digital Marketing and Marketing Technologies. 
·       Have experience working with Big Data technologies (such as Hadoop, MapReduce, Hive/Pig, Cassandra, MongoDB, etc) 
·       Have experience in ETL or Data Warehouse design or implementation 
·       Have experience in any one of the following languages actively in the recent past - Python, Java, Ruby, Scala. 
·       Have wide industry experience across financial services, media and entertainment, retail, government, healthcare and telco/media markets 
Working at Treasure Data 
You can expect a work environment where the team is collaborative and open to your ideas, while we keep our collective eye on supporting our customers’ needs. Our team is committed to technical innovation in our product and in the world through customer collaboration, open-source projects, and by continuing to make our product an integral part of our customers’ growth and success. 
We are an equal opportunity employer dedicated to building an inclusive and diverse workforce. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.