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Customer Success Engineer

Remote: 
Full Remote
Contract: 
Salary: 
140 - 150K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years in customer-facing roles, Experience with analytical databases, SQL knowledge and hands-on experience, Understanding of data pipeline solutions, Ability to collaborate with technical teams.

Key responsabilities:

  • Understand customer use cases for data quality
  • Provide support to technical customers
  • Retain and grow customer accounts
  • Manage renewals and net revenue quotas
  • Turn custom solutions into repeatable processes
Bigeye logo
Bigeye Startup https://hubs.la/
11 - 50 Employees
See more Bigeye offers

Job description

The Company

Bigeye is on a mission to help enterprises trust their data. When used effectively, data can create magical experiences in services and products we all use every day. But those experiences suffer whenever data is delayed, missing, or low quality. Nearly every major enterprise still struggles to keep their data pipelines reliable and to maintain data quality, and can no longer afford to sift through a mess of manually created data quality rules.

Some of the world’s largest enterprises—like Centene, Kenvue, and Williams-Sonoma—have realized they need a more scalable approach, and now use Bigeye’s industry-leading data observability platform to keep their mission critical data applications running smoothly. Our unmatched support for enterprise-oriented data sources, and industry-leading data lineage capabilities, give us a unique foundation from which to serve enterprise data teams.

The scale of this challenge is incredibly exciting: we already check over 2 million data quality attributes every day for our customers, but estimate that only 2% of the addressable market has made the switch to using data observability.

Come join us in the journey to serve the other 98%.

As a Customer Success Engineer 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. We’re looking for people who share our values, love creative and challenging work, and are great teammates.

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.

  • 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

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 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

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

  • Flexible PTO to have fun and recharge

  • Medical, Dental, Vision and Life Insurance to keep you healthy

  • Dedicated Parental Leave to take care of new additions in your household

  • 401k plan to help you save for the future

  • Learning and Development stipend to help you grow in your career

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Strategic Thinking
  • Relationship Management
  • Problem Solving
  • Verbal Communication Skills
  • Adaptability

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