Posted:
5/26/2026, 5:12:29 PM
Location(s):
Masovian Voivodeship, Poland
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
Customer Success & Support ⋅ Sales & Account Management
Workplace Type:
Remote
At Logz.io, we are building the future of how engineering teams manage cloud complexity. Our Open 360 platform delivers unified, full-stack observability and security as a fully managed SaaS built on best-of-breed open source.
With the launch of OrionIQ, we are moving the industry from passive monitoring to autonomous resolution. OrionIQ is our groundbreaking agentic observability platform that deploys specialized AI agents to automatically investigate alerts, execute complex workflows, and deliver instant root-cause analysis. By fusing logs, metrics, and traces with proactive AI automation, we eliminate up to 90% of operational toil, slash MTTR from hours to seconds, and radically optimize cloud costs for the world's leading enterprise brands
As a Customer Success Engineer, you will be a pivotal technical strategist within our elite sales organization. This is a high-visibility, technical relationship management role where you will act as the trusted advisor for our top-tier enterprise logos. You won’t just manage accounts; you will lead the strategic adoption of our next-generation observability and cutting-edge agentic AI technologies, aligning them directly with our customers' most complex engineering and business goals.
Location & Work Style: Full-time position Monday–Friday 100% Remote Flexibility for residents living anywhere in Poland.
Employment Type: This position is offered exclusively as a B2B contractor agreement.
Compliance Requirements: Candidates must have a valid Blue Card (or appropriate legal right to work/reside in Poland) and be fully compliant with all local tax registration and mandatory reporting regulations.
Website: https://logz.io/
Headquarter Location: Boston, Massachusetts, United States
Employee Count: 251-500
Year Founded: 2014
IPO Status: Private
Last Funding Type: Series E
Industries: Analytics ⋅ Artificial Intelligence (AI) ⋅ Big Data ⋅ Enterprise Software ⋅ SaaS