Customer Success Manager
Job Description
Customer Success Manager
\nLocation: Noida / Indore, India
\nExperience: 6-10 Years
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\n About Kyvos
:
\nKyvos is a leading Semantic Layer platform that enables enterprises to build trusted, governed, and AI-ready analytics at scale. Our platform powers Fortune 500 organizations by delivering consistent business metrics across BI and AI ecosystems
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\n About Rol
e
\n: We're looking for a Customer Success Manag er to own and grow strategic enterprise customer relationships. You will help customers maximize the value of the Kyvos platform while driving renewals, expansion opportunities, and long-term customer succes
\ns.This role is ideal for someone who enjoys partnering with enterprise customers, solving business challenges proactively, and contributing directly to revenue growt
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\n Key Responsibiliti
e
\n- \n
- s: Manage a portfolio of enterprise customers throughout the post-sales lifecyc \n
- le.Build trusted relationships with business and technology stakeholde \n
- rs.Drive customer onboarding of use cases, adoption, and measurable business outcom \n
- es.Conduct Executive Business Reviews (EBRs) and strategic account planni \n
- ng.Own customer renewals and identify upsell and cross-sell opportuniti \n
- es.Monitor customer health, mitigate risks, and improve retenti \n
- on.Collaborate with Sales, Product, Engineering, and Professional Services tea \n
- ms.Champion customer feedback and advocate for customer success internal \n
ly.
\n What We're Looking
F
\n- \n
- or: 6–10 years of experience in Customer Success, Account Management, Consulting, or Enterprise S \n
- aaS.Experience managing enterprise customers and commercial discussions around renewals and gro \n
- wth.Strong understanding of Data Analytics, AI, Cloud Data Platforms, or BI technolog \n
- ies.Excellent stakeholder management and executive communication ski \n
- lls.Analytical mindset with the ability to translate customer goals into business outco \n
- mes.Experience with Salesforce or similar CRM platforms is prefer \n
red.
\n Preferred Experi
e
\n- \n
- nce: Exposure to Snowflake, Databricks, OpenAI, Anthropic, or modern AI/BI/data platf \n
- orms.Knowledge of Semantic Layer, Data Governance, or Enterprise AI solutions is an advan \n