Customer Success Engineer, Bigeye
$140-150k
Plus incentive (80/20 OTE structure). Plus equity
Data observability platform for large enterprises
Job no longer available
Data observability platform for large enterprises
21-100 employees
Job no longer available
$140-150k
Plus incentive (80/20 OTE structure). Plus equity
21-100 employees
Company mission
To make enterprise data trustworthy by default.
Role
Who you are
- 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)
Desirable
- 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
What the job involves
- 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
- 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
Our take
Developing machine learning models entails a high degree of data quality monitoring, which can be an expensive and time-consuming process. Bigeye solves this problem by automating data quality for operations teams.
Headed up by two Uber alumni, Bigeye tells users what data quality metrics they should collect from their data. Its technology alerts operations teams to data quality and pipeline issues, saving valuable time and money. And it is now used by the likes of Udacity, Instacart and SignalFire, which is testament to the effectiveness of its solutions.
Bigeye has been rapidly expanding both its team and its product offerings. With one of its latests innovations, Deltas, enabling users to effortlessly compare and validate datasets automatically. Its this kind of forward-thinking product development that is not only a testament to Bigeye's growth, but also a key factor in driving its ongoing success in the industry.
Steph
Company Specialist at Welcome to the Jungle
Insights
200% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Sep 2021
$45m
SERIES B
Apr 2021
$17m
SERIES A
Total funding: $66m
Company benefits
- Health Coverage: We offer medical, dental, vision and life insurance. Health and Wellness program? We’ve got that too!
- 401k retirement plan: Secure your future with our 401k plan, offered through Guideline, designed to help you build long-term savings with ease
- Flexible PTO: We empower you to take control of your well-being by giving you the freedom to rest and recharge whenever you need it
- Remote-first Culture: We support a flexible environment that allows
Company HQ
Hillside, Daly City, CA
Leadership
Kyle Kirwan
(Co-Founder & CPO)Previously worked as a Data Analyst at Grooveshark, and as a Product Manager at Uber.
Egor Gryaznov
(Co-Founder & Field CTO)Previously worked as a Data Engineer at One Kings Lane, and as a Staff Engineer at Uber.
Initially joined Bigeye as COO in 2024 before quickly becoming CEO. Previously the CEO of Kensu and CRO of Odaseva and IntraEdge. They also spent 7 years at TrustArc in various roles, including Senior VP of Sales and Consulting.
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