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Cribl

Customer Success Engineer, Sydney

Cribl is hiring a remote-first Customer Success Engineer based in Sydney to join the organization building telemetry infrastructure for the AI era. Cribl works with major…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in Australia only
Salary
Not specified
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Employment type
Full-time
Experience
Not specified
Added to Jobsiz2h agoEmployer posted Nov 5, 2026
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Apply BeforeNo deadline

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About This Role

Cribl is hiring a remote-first Customer Success Engineer based in Sydney to join the organization building telemetry infrastructure for the AI era. Cribl works with major global enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality by providing choice, control, and flexibility for managing human and agent telemetry data. In this role, the Customer Success Engineer acts as a trusted advisor to…

Job Description

Cribl is hiring a remote-first Customer Success Engineer based in Sydney to join the organization building telemetry infrastructure for the AI era. Cribl works with major global enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality by providing choice, control, and flexibility for managing human and agent telemetry data.

In this role, the Customer Success Engineer acts as a trusted advisor to help customers achieve outcomes and value using Cribl solutions. The position requires coordinating across various technical functions and presenting value to company executives. Team members may occasionally be required to work outside standard hours across multiple time zones.

Responsibilities

  • Manage the complete Customer Success lifecycle from onboarding to expansion as a strategic advisor
  • Serve as the product expert while clients construct observability pipelines to transform organizational data
  • Build and maintain relationships with senior management and stakeholders to execute success plans and KPIs
  • Utilize customer success platforms to communicate data-driven metrics to tech touch customers
  • Expand product usage and identify new use cases, data sources, and teams to reduce, enrich, and route data
  • Collaborate cross-functionally with engineering, sales, marketing, product, and experience teams as the voice of the customer
  • Monitor customer health throughout the journey to ensure value realization and ongoing growth
  • Mentor and coach team members within the Customer Experience organization

Requirements

  • At least 5 years of experience in a related post-sales function involving direct customer advocacy and engagement
  • Direct background in IT operations, security, logs, metrics, and observability
  • Deep understanding of managing data pipelines across the complete data lifecycle
  • Proven ability to generate continuous product value by creating new use cases for data reduction, enrichment, routing, and reuse
  • Reside in Sydney

Qualifications

  • Direct experience using Cribl products or administering data engineering platforms such as Datadog, Splunk, Elastic, or Snowflake
  • Technical familiarity with managing customer accounts through GainSight or similar customer success platforms
  • Working knowledge of major cloud providers including GCP, Azure, and AWS

Core Skills

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Where is the Customer Success Engineer position located?

The role is remote-first and requires the candidate to live in Sydney.

What is the salary for this position?

The job posting does not specify the salary for this role.

What level of experience is required?

Applicants must have a minimum of 5 years of experience in a related post-sales function with direct customer advocacy and engagement background.

Are there any preferred technical qualifications?

Preferred qualifications include direct experience with Cribl products or data engineering platforms like Splunk, Elastic, Datadog, and Snowflake, familiarity with Customer Success Platforms such as GainSight, and working knowledge of AWS, Azure, and GCP.

Sample Interview Questions

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