Customer Success Manager

Encontrado en: Talent MX C2 - hace 2 semanas


Mexico City Altair Engineering A tiempo completo

Job Summary:

We are currently looking for Customer Success Manager in the Mexico Region. You will collaborate closely with the Customer Success Team, Technical Support & Services Teams, Sales Force/Operations Team, and Account Managers & Sales Channel Teams. This individual will need to have a broad understanding of the data analytics landscape and have the ability to quickly gain a working knowledge of Altair’s data analytics software portfolio which include: RapidMiner(AI/ML platform), Monarch (data preparation), Panopticon (data visualization), and SLC (alternate SAS language environment). This posting is for a position within our Data Analytics Customer Success Team.

This role reports to the US Manager, Customer Success Manager but will directly support one of the 3 Major Departments.

What You Will Do:

Responsible for supporting targeted and comprehensive customer accounts to ensure a successful customer journey experience to meet their strategies, objectives, and/or initiatives with our solutions. Become the customer’s advocate and trusted advisor for all key stakeholders in joint effort with Altair Management and Account Managers. Provide support to our customers by sharing various enablement and support resources available for them. Work with Customer Success, Sales, and Technical Support/Services to gather intelligence on our customers. Assist with capturing client insights/use cases for deeper customer relationships. Assist with creating and implementing Customer Success client messaging touchpoints & out-reaches. Learn and apply customer success techniques and client engagement development practices. Complete ad hoc projects, as assigned, in support of various business objectives to ensure the customer has successfully met their use cases/goals. Present a “can-do” attitude, willing to jump in and help where needed.

What You Will Need:

Basics:

Bachelor's degree in Data Science, Statistics, Computer Science, Information Technology, or a related field (Master's degree a plus). Proven experience applying data analysis techniques to solve business problems. Strong understanding of the CRISP-DM methodology. Working knowledge of supervised, unsupervised, time series, and text mining techniques. Basic understanding of ETL processes. Proficiency in SQL, R, or Python (experience with all three a plus). Experience working with REST APIs is preferred. Excellent communication and collaboration skills with all levels of the organization. Ability to think critically and solve problems independently. Strong organization, planning, and time management skills. Customer oriented self-starter who can work well with minimum supervision and strong attention to detail. Willing to travel (
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