The Company

At 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. Now, Bigeye is building best-of-breed tools for analysts, data scientists, and data engineers on data teams everywhere. 

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.

The Team

Sales Engineers at Bigeye grasp how critical data is to the business, how the quality of data impacts informed-choice making, and the pressure data teams are under to deliver that high-quality data 24/7.

You will work with Sales, Marketing, and Product teams to address the needs of data teams everywhere with Bigeye, the premier data quality engineering platform. In this role, you will work directly with data innovators, analysts, scientists, and engineers at our prospects, customers, and industry-partner teams.

What you’ll be doing:

• Help prospects and customers advance data-driven culture and drive concrete business outcomes.

• Trailblaze a rapidly emerging market by evangelizing the value, ease of use, and speed of Bigeye.

• Guide prospects from sandbox to proof of values (POV) to production, helping them build comprehensive data quality engineering practices and delivering value throughout.

• Design industry specific demonstrations and proof of values (POVs) that create repeatable and concrete outcomes for prospective customers.

• Assess the economic benefits of Bigeye and gain consensus among stakeholders across the business.

• Attend conferences, seminars and events related to the industry to keep our market awareness sharp.

• Collect and share product feedback across the Bigeye Product and Engineering team.

• Reply to RFIs, RFPs and RFQs.

• Teach and showcase Bigeye for prospects, partners, and customers using customer success stories, and other assets.

What You Bring

• 2-5+ years of Sales Engineering experience (level determined based on experience)

• Experience working with cloud-based data warehouses or lakes, such as Snowflake, Redshift, Databricks and BigQuery.

• Aptitude to work with data hands-on, including reading and writing SQL, debugging SQL queries, and comprehending how users interact with databases.

• Comprehension of database management practices: partitions, indices, schema design, etc.

• Knowledge of both ETL and ELT approaches to data pipelines.

  Preferred Experiences

• 1-2 years of Sales Engineering experience in B2B SaaS technical products 

• Comprehension of at least one major cloud infrastructure provider (AWS, GCP, Azure).

• Hands-on experience with one or more of modern data tools: Airflow, dbt, Dagster, Azure Data Factory, Stitch, Fivetran, etc. 

• Beginner to intermediate grasp of Python or equivalent language

Salary Expectations

• Base salary of $150,000-$177,000 + bonuses, depending on experience

  • 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