Chainalysis Careers in Delhi, India

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Customer Success Manager India

Chainalysis
$36k - $40k estimated

This job is closed

Our Customer Success team is insatiably curious and adept at problem-solving. We use data and domain expertise to navigate the customer-journey, helping each stakeholder define and achieve success. We’re also extremely collaborative and work cross-functionally to share the insights we learn from our customers.

The Associate Customer Success Manager is a natural at making each and every customer feel like a VIP. They’re great at managing a lot of disparate priorities, building relationships with high-potential customers, and strategizing about how to build accounts and increase adoption. We measure your success by things like user adoption, retention, and overall satisfaction.

Within a year you are successful if…

  • Your knowledge of customer journeys, SaaS revenue metrics, and overall Customer Success has grown substantially
  • You’ve directly contributed to increasing the net retention of our customers in our financial, cryptocurrency, and government verticals
  • You can confidently answer advanced product usage and technical questions related to data, compliance and regulatory standards, and investigations across our product suite
  • Our customers trust and rely on you to help them achieve their goals
  • The Customer Success team is more efficient and scalable thanks to your input on how to automate, simplify, and improve our daily workflows

A background like this helps:

  • Prior working experience in Customer Success at a SaaS business is a plus, but mainly we’re looking for candidates who have been in a customer facing role
  • Experience building out customer journeys and expanding product adoption
  • Emotional intelligence and an empathetic propensity to read between the lines and understand what the customer is saying (and what they mean)
  • Written and spoken English language skills required and another language in India
  • Experience in AML/KYC and an interest in cryptocurrency helps

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