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Customer Success Engineer, Sydney

AI Summary
Cribl is seeking a Customer Success Engineer to guide enterprise customers through onboarding, adoption, expansion, and long-term value realization for its telemetry platform. The role combines customer-success ownership with deep technical expertise in observability, data pipelines, IT operations, and security. The engineer will develop success plans, engage senior stakeholders, identify new technical use cases, and coordinate with sales, product, marketing, and engineering teams. This is a remote Australia-based position, with an expectation of occasional work outside standard hours to support a distributed organization. Candidates need at least five years of post-sales customer-facing experience and familiarity with platforms such as Splunk, Elastic, Datadog, Snowflake, and major cloud providers.
Remote from
Australia
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
5 Dec 2026
Listing views
26
Application actions
2
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Opportunity details

About this role.

Join the company that’s building the telemetry infrastructure for the AI era. At Cribl, we partner with IT and Security teams at many of the world’s biggest enterprises, including half of the Fortune 100, to bridge the gap between AI ambition and infrastructure reality. As the AI Platform for Telemetry, we give customers the choice, control, and flexibility to manage and analyze telemetry for both humans and agents, so they can build what’s next.

We’re one of the fastest‑growing private companies and a leading player in a massive, fast‑moving market. With a global workforce, we’re remote‑first and grounded in a simple idea: software is a people business. Cribl is the place where curious, collaborative people can do their best work, grow fast, and bring their full selves to the herd.

Location: Sydney

Why You’ll Love This Role

The Customer Success Engineer (CSE) acts as a trusted advisor for the customer in achieving customer outcomes, value and success with Cribl solutions. This highly technical role needs to coordinate and strategize across several functions to enable customers to realize continuous value. CSEs must be data-driven to drive efficiency in communicating with customers.

The CSE must be ready to engage with various technical functions within an organization while also being able to demonstrate the value of Cribl in business discussions with company executives. The goal is to help our customers become successful and enthusiastic Cribl champions throughout the customer journey.


As An Active Member Of Our Team, You Will…

  • Act as a trusted/strategic advisor for customers, driving the entire Customer Success lifecycle from onboarding to expansion
  • Become the trusted Cribl product expert as customers build out observability pipelines to transform data in their organization
  • Establish and maintain relationships with stakeholders and senior management to drive success plans and KPIs at our largest customers
  • Communicate effectively to our tech touch customers utilizing our customer success platform to automate our ability to respond using data-driven metrics
  • Drive continued and expanded value by expanding usage of existing use cases and identifying new use cases, teams and data sources to reduce, enrich, and route data
  • Clear, effective communicator and collaborator working cross-functionally with the Cribl sales, marketing, product, experience, and engineering teams as the voice of the customer
  • Keep our customers healthy in their customer journey with Cribl to realize value with their purchase and continue to grow as a customer
  • Continually inspire, mentor, and coach team members as an integral piece of the Customer Experience organization
  • We are a remote-first company and work happens across many time-zones – you may be required to occasionally perform duties outside your standard working hours

If You’ve Got It – We Want It

  • Minimum of 5 years in a related function with direct customer advocacy and engagement experience in post-sales with passion for customer success and empathy for customer outcomes and value
  • Customers first, always mindset with great communication and relationship management skills that can manage customer expectations with empathy.
  • Customer facing presentation history in program reviews or similar events
  • Direct experience with Observability, Logs, Metrics, IT Operations and Security with a deep understanding of managing data pipelines through the entire data lifecycle
  • Proven ability to drive continuous product value by developing new use-cases relating to reducing, reusing, enriching, and routing data to achieve customer outcomes
  • Quick learner with good technical and problem-solving skills

Bonus Points/Preferred Qualifications:

    • Direct experience with Cribl products or the Administration of Data Engineering platforms (Splunk, Elastic, Datadog, Snowflake, etc.)
    • Solid technical understanding of managing customers through Customer Success Platforms such as GainSight
    • Working knowledge of major cloud providers (AWS, Azure, GCP)
    • You live in Sydney

#LI-JK1
#LI-Remote

Bring Your Whole Self

Diversity drives innovation, enables better decisions to support our customers, and inspires change for the better. We’re building a culture where differences are valued and welcomed, and we work together to bring out the best in each other. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.

Interested in joining the Cribl herd? Learn more about the smartest, funniest, most passionate goats you’ll ever meet at cribl.io/about-us.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position requires translating complex telemetry and observability capabilities into measurable business outcomes for large customers. It also demands independent ownership of customer success across technical and executive stakeholders in a fast-moving, cross-functional environment.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$125,000
US market range (per year)$100k–$155k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. The yearly cadence and USD 125,000 estimated job median are inferred for a senior technical customer-success role; the estimated market range is USD 100,000–155,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you build a success plan for a new enterprise customer adopting Cribl?

I would begin by aligning on the customer's business objectives, technical architecture, stakeholders, and measurable outcomes. I would document milestones for onboarding, initial use cases, adoption metrics, health indicators, and expansion opportunities, then review progress regularly with both technical and executive sponsors.

Describe how you would identify a new value-driving use case for an existing customer.

I would review usage data, platform health, data volumes, stakeholder feedback, and operational pain points. From there, I would connect a specific opportunity—such as reducing unnecessary log volume, enriching data, or routing telemetry to a new destination—to a measurable cost, efficiency, or security outcome.

How do you explain an observability data-pipeline concept to an executive stakeholder?

I avoid leading with implementation details and focus on the business impact: data control, lower costs, faster investigations, stronger reliability, and reduced operational risk. I use concise metrics and customer-specific examples, while making the technical path clear enough to establish credibility.

What would you do if a customer's adoption was declining after implementation?

I would investigate product usage, support history, stakeholder changes, unresolved technical blockers, and whether the original success criteria remain relevant. I would then create a recovery plan with clear owners, targeted enablement, prioritized use cases, and agreed checkpoints to restore momentum and value.

How do you manage competing priorities across multiple strategic customers?

I prioritize according to customer health, renewal or expansion risk, business impact, technical urgency, and committed milestones. I maintain transparent success plans and communication cadences, use customer-success data to detect risks early, and escalate or coordinate internally when a customer's needs require broader support.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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