What You’ll Do:
Spire is the unrivaled open ocean and shore coverage provider revolutionizing how maritime data is collected, analyzed, and delivered, to improve supply chain tracking and route optimization, insurance and compliance, commodity intelligence, environmental monitoring, and so much more. As a Customer Support Engineer (CSE), you will offer support for the EMEA and APAC region on behalf of Spire’s maritime products. Successful candidates will have a good balance of experience with SaaS applications, APIs, data processing and providing onboarding and support to customers.
Who You Are:
You are an expert with SaaS applications, APIs, data processing and love to provide onboarding and continued support for your customers. You don’t shy away from challenging situations and you do whatever it takes to help and get your customers to the right spot.
Global Perks
️ Name Your Satellite Program (NYSP)
Launch Attendance
Generous Time Off Policy
Education Assistance Program
Employee Assistance Program (EAP)
Employee Stock Purchase Program (ESPP)
Family Leave
Fitness Reimbursement
Employee Referral Program
Healthy snacks & beverages in every office
About Spire
We improve life on Earth with data from space.
Spire Global is a space-to-cloud analytics company that owns and operates the largest multi-purpose constellation of satellites. Its proprietary data and algorithms provide the most advanced maritime, aviation, and weather tracking in the world. In addition to its constellation, Spire’s data infrastructure includes a global ground station network and 24/7 operations that provide real-time global coverage of every point on Earth.
Spire is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.
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Tagged as: Python, customer support, Analytics, Data analyst