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Customer Success Manager - San Francisco, United States - BIGEYE
Description
The CompanyAt Bigeye, our mission is to help our customers make magic with data.
We built some of the most widely adopted tools at companies like Uber and saw how swift teams move when they have a great data toolchain.
At Bigeye, we are re-envisioning data quality with the premier data observability platform.
In less than 15 minutes, customers instrument data sources with thousands of data quality metrics and anomaly detection algorithms that proactively alert them to issues.
With Bigeye, data teams prevent customer-facing data outages, save expensive engineering hours, and build greater faith in the data.
As a Customer Success Manager on our team, you'll work closely with Solutions Engineering, Sales, and Product to deliver an amazing experience for our customers, be accountable for net revenue, and grow enterprise accounts.
What You Will Do
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.
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
What You Need
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 solutionsAbility 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
Salary Expectations
Base salary of $140,000-$150,000 plus incentive, depending on experience
80/20 OTE structure
Curious about how we determined this range? Ask about our process
Benefits
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
Bigeye is an Equal Opportunity Employer and we will not tolerate discrimination or harassment of any sort.
We do celebrate diversity and believe experience comes in different forms; many techniques are transferable; and passion goes a long way.
Diversity in our team makes for more creative thinking, and ultimately a better product and company culture.
Even more important than your resume is a clear demonstration of impact, initiative, and the aptitude to thrive in a collaborative environment.
Bigeye aspires to have an inclusive work environment; so if you are hard working & good at what you do then please come as you are.
We want you to contribute, grow, & learn at Bigeye and we encourage you to apply if your experience is close to what we're looking for.
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