Customer Success Manager

February 21

Bigeye

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The data reliability engineering platform

Data Analytics • Data Management • Data Engineering • Data Science • AI

11 - 50

Description

• Understanding our customer use cases related to data quality and engineering including, data pipeline health, data replication accuracy, dimensional data quality, and data drift collection. • Providing support and guidance to technical customers (to overcome challenges with deployment, and expansion of use cases) and business users (for best practices and business goals) • Retain and grow accounts - maintaining positive client relationships and proactively identifying opportunities (either organic growth or new lines of business) • Responsible for managing renewals, expansions and net revenue quota • Provide structured, condensed feedback to product and engineering that drives business value for Bigeye and our customers • Turning one-off customer solutions into repeatable processes, we can apply across accounts

Requirements

• 3+ years in customer-facing roles - Support/Services/Success with at least some technical account management experience in B2B SaaS • Experience working with cloud-based analytical databases, such as Snowflake, Redshift, and BigQuery. • Ability to work with data hands-on, including reading and writing SQL, debugging SQL queries, and understanding how users interact with databases • Understanding of data pipeline/ETL/ELT solutions • Ability to partner with data engineers, data scientists, and analysts at mid market and Enterprise customers • Enjoy working in a constantly changing environment and maintaining a high level of responsiveness for customers • Enjoy getting in the weeds (investigating inaccuracies, fixing issues) while also thinking strategically with your customers (roadmap, business objectives) • Bonus points: Previous experience in a quota carrying role, Familiarity with BI products in tools like Looker, Tableau, or PowerBI, Ability to build a data pipeline and set up a data environment for business use cases, Deep understanding of one or more cloud infrastructure providers (AWS, GCP, Azure), Experience with DevOps practices in maintaining data pipelines and software

Benefits

• Base salary of $130,000-$150,000, depending on experience • 80/20 OTE structure • Generous salary and equity opportunity • Remote first - Live where you want in the US • Medical, Dental and Vision to keep you healthy • Health and Wellness package • 401k plan to help you save for the future • Generous PTO to have fun • Receive an elite technology package to make work easier • Stipend to make your home office more comfortable