Job Description

Department:

Customer Success / Client Solutions

Reports to:

Director/VP of Customer Success

About the Role:

We are looking for a

Senior Technical Customer Success Manager

to join our growing team. This is a client-facing role focused on ensuring successful adoption and value realization of our SaaS solutions. The ideal candidate will come from a strong analytics background, possess hands-on skills in

SQL and Python or R

, and have experience working with

dashboarding tools

. Prior experience in

eCommerce or retail domains

is a strong plus.

Responsibilities:

Own post-sale customer relationship and act as the primary technical point of contact. Drive product adoption and usage through effective onboarding, training, and ongoing support. Work closely with clients to understand business goals and align them with product capabilities. Collaborate with internal product, engineering, and data teams to deliver solutions and enhancements tailored to client needs. Analyze customer data and usage trends to proactively identify opportunities and risks. Build dashboards or reports for customers using internal tools or integrations. Lead business reviews, share insights, and communicate value delivered. Support customers in configuring rules, data integrations, and troubleshooting issues. Drive renewal and expansion by ensuring customer satisfaction and delivering measurable outcomes.

Requirements:

7+ years of experience in a

Customer Success, Technical Account Management, or Solution Consulting

role in a

SaaS or software product

company. Strong

SQL

skills and working experience with

Python or R

. Experience with

dashboarding tools

such as Tableau, Power BI, Looker, or similar. Understanding of

data pipelines, APIs, and data modeling

. Excellent communication and stakeholder management skills. Proven track record of managing

mid to large enterprise clients

. Experience in

eCommerce, retail, or consumer-facing businesses

is highly desirable. Ability to translate technical details into business context and vice versa. Bachelor's or Master's degree in Computer Science, Analytics, Engineering, or related field.

Nice to Have:

Exposure to

machine learning workflows

, recommendation systems, or pricing analytics. Familiarity with cloud platforms (AWS/GCP/Azure). Experience working with cross-functional teams in

Agile environments

.



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