Customer Success Lead Engineer

6 days ago

bangalore, India Algonomy Full time
Designation : Customer Success Lead Engineer/Senior Customer Success Engineer Experience : 8-10 Years
Education : Graduation/Engineering/Masters
Broad Responsibilities:
Leading customer support, contributing to success of ML based SaaS product implementation
Will need to gain in-depth knowledge of the product(Demand forecasting, DemandSensing, Order recommendations), technical details, data model, functionalities and features.
Handling front office, dealingwith customer and delivery team queries, understanding and troubleshooting problems, working with engineering teams.
Owning SLAs, prioritization.
Handling delegation of work to team members, grooming them
Owning the external facingcommunication, regular status updates of support activities.
Checking of various types of logs from Application servers, Kubernetes, RabbitMQ,DB tables etc.
Will need to performETL Operations, ETL performance tuning.
The role will requiregood knowledge of client-server / web applications, databases.
Implement best practices
Will need to work effectively with other cross functional teams and share best practices
Will need to work closely with Team Members,Team Leads, including BusinessAnalysts, and Quality Assurance, and Project Manager.
Mandatory Requirements:
Relevant hands-on experience in support of client serverapplications and databases
SQL & DB Programming:
In-depth knowledge of T-SQL/ PL-SQL Programming
Should have good SQL query writingand debugging experience
Knowledge in creating variousdatabase objects - Stored Procedures, User Defined Functions, Views, indexes
Client-server / Web applications:
Hands on exposure in dealing with client-server applications & technologies (e.g. Tomcat, Microservices)
Log files debugging, cloud technologies
ETL:
Need ETL performance handlingexperience using MS – SSIS, Snaplogic, any standard ETL Tool and strong in handling large volume of data extraction and loading (500GB to 5TB)
Should have above averageskills in ETL, ETL performance tuning as well as above average skills in fine tuning complex queries of analytical Database/ Warehouse
Working knowledge on Windowsand Linux environments
Exposure to basic Linux commands and fundamentals
Should have worked on projects hostedon AWS / Azure Cloud
Hands-on experience working in a ‘Support’ structure
Experience in real-time ‘Support’projects
Extensive Debugging/Troubleshooting Skills
Excellent Communication Skills as the Role involvesextensive Client Interaction.
About Company
Algonomy (previously Manthan-RichRelevance) is a global leader in algorithmic customer engagement powering digital first strategies for retailers and brands. With industry-leading retail expertise in connecting demand to supply with a real-time customer data platform as the foundation, Algonomy enables 1:1 omnichannel personalization, customer journey orchestration and customer analytics with Xen AI at its core.
Globally, over 400 retail brandssuch as HP, L’oreal, Tiffany& Co, McDonalds, Zalora and Pizza Hut use Algonomy’s made-for-retail solutions to orchestrate hyper-personalized customer engagement and optimize their merchandising and supplier management. Algonomy, which stands for “systematized knowledge of algorithms”, provides rapid time to value across acquisition, conversion, growth and loyalty with its 300+ pre-built algorithms.
Headquartered in San Francisco and Bangalore, our presence spans over 20 countries. To learn more, please visit

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