Talend Data Integration Services Private Limited | Jobs | Senior Customer Success Manager(Technology CSM – ETL /Big data /Cloud) | BigDataKB.com | 11-02-22

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Job Location: Bangalore/Bengaluru

We re looking for a Senior Customer Success Manager to ensure our customers successfully adopt our products and expand the value they get from our solutions.
We are an established Customer Success function consisting of Professional Services Consultants, Support Engineers, Customer Success Managers, Customer Success Architects, and a Technical Enablement Team with a passion for creating successful, loyal customers.
To support our continuing rapid growth, this team is a specialized Customer Success team to assist Talend Cloud and SMB customers in a low-touch and tech-touch model. We are looking for a person who thrives supporting customers in a high-volume environment, has experience onboarding customers, and enjoys assisting customers to successfully adopt technology. This is an opportunity to help build our Cloud CSM practice, while helping customers achieve their business outcomes using some of the most exciting and disruptive technologies on the market.

Responsibilities include:

  • Assist customers to adopt our technology, by answering their questions and directing them to appropriate educational and support resources.
  • Improve scalability with well-targeted one-to-many communications with customers.
  • Respond promptly to customer inquiries.
  • Develop knowledge resources to assist customers, including a knowledgebase for commonly asked questions, and enhancements to our Customer Success portal.
  • Become an expert on Talend technologies, and the ways that customers apply them to solve business challenges.
  • Discover the business goals of your customers projects, and how they are using Talend to achieve those goals.
  • Identify opportunities for growth and expansion within your customers.
  • Identify and quantify key factors for success of your customers, and develop programs to meet those criteria.
  • Programmatically provide regular communications.
  • Communicate common enhancement requests effectively, to influence the product roadmap.
  • Track customer progress, and communicate accurate status for your customers.

How you will be measured:

  • Increase customer adoption, engagement, retention, and satisfaction
  • Progress in expanding your technical expertise
  • Maintaining a cadence of communications with small and medium business (SMB) and Cloud customers
  • Net renewal rate and logo retention of SMB and Cloud customers

We are seeking someone with:

  • 7+ years of experience working in customer-facing roles
  • Willing to work in night shift to support our US & North America customers
  • A successful record as a technology advisor, pre-sales engineer, consulting engineer, or product or technical account manager within the data analytics ecosystem
  • Knowledge of corporate IT projects and processes
  • Subject matter expertise in data integration, data modeling, ETL/ELT architectures, and application development methods
  • Ability to discuss benefits and risks of technology choices with customers
  • A quantitative approach to understanding, measuring, and forecasting customer behavior and revenue
  • Ability to identify and position opportunities for growth within customers
  • Perspective to blend technology and business strategy to develop customer and partner success plans
  • Ability to develop collaborative relationships with colleagues and partners in diverse functions, including Sales, Engineering, Marketing, Legal, Support, and Finance
  • Excellent verbal and written communications and presentation skills
  • Demonstrated ability to thrive in a fast-growing dynamic company
  • Understanding of the data and application integration markets, current market trends and industry players
  • Recent experience with 2 or more of the following technology areas (At least intermediate level of technical exposure is required in the below mentioned areas):
    o Big Data (Hadoop distributions and key technologies)
    o Relational and NoSQL databases
    o Cloud Computing
    o Data Integration (ETL/ELT)
    o Master Data Management (MDM)
    o Data Governance
    o Data Quality (DQ)

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