Sales Engineer
Cribl
Sales Engineer
Cribl
Data observability platform for logs
Location: Toronto or Ottawa
Why You'll Love This Role
As a Solutions Engineer, you'll help customers solve hard data problems in complex environments, with real depth in how security teams work.
You will help customers understand their environment, define the right success criteria, and build confidence in an approach that works in practice rather than on a slide. That takes both sides of the job: leading discovery and connecting technical capability to business value, and bringing genuine depth in data architecture, integrations, and environment design.
As An Active Member Of Our Team, You Will…
Lead technical discovery to understand a customer's environment, requirements, constraints, and success criteria.
Design customer-specific solutions that combine parts of the platform to fit real architectures and business outcomes.
Own POV and POC execution end to end, keeping the evaluation tied to agreed success criteria.
Build credibility directly with security practitioners, including analysts, detection engineers, and security operations leaders, in conversations about their workflow and not just their data pipeline.
Handle most technical questions and objections yourself, pulling in specialists for edge cases and the hardest evaluations.
Partner with your Regional Sales Manager on account strategy, opportunity planning, and technical win strategy.
Build technical champions inside accounts, and expand relationships beyond the first champion when the decision requires it.
Run the technical sales process with discipline, including CRM hygiene, MEDDPICC alignment, milestones, and follow-through.
Contribute your expertise to other teammates on your regional SE team.Up to 30% Travel
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
Security depth - For this opening, we are prioritizing security analyst workflow depth. (If you feel like you are a strong candidate with Observability or Telemetry Engineering depth, we'd still like to speak with you.)
Hands-on experience in or experience working with a security analytics workflow, such as a SOC, detection engineering, threat hunting, or incident response, or experience supporting those teams as a technical resource.
Working knowledge of SIEM and security analytics platforms and how security teams use them day to day, including where those workflows break down.
Credibility you can point to: specific practitioner examples and an industry point of view.
Consultative and solution skills
Experience leading technical discovery and translating requirements into solution designs.
Ability to design a well-architected system without being the expert in every part of it.
Ability to learn the basics of unfamiliar technology quickly.
Clear explanation of technical tradeoffs to practitioners and decision-makers alike, including handling objections.
Good judgment under ambiguity.
Leverages AI to maximize effectiveness in role
Is Customer First Always-- thats our #1 value here and we live by it
Foundational technical fluency:
Senior-level experience in Sales Engineering, Solutions Architecture, or a similar customer-facing technical role.
A working foundation in data movement, telemetry pipelines, logging, networking, or data architecture. Depth is welcome, but it is not what we optimize for and it can be built here.
Experience running hands-on evaluations, POVs, or POCs in cloud, hybrid, and enterprise environments.
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Cribl helps tech teams manage and understand their data through data observability. Its two main products, Cribl Stream and Cribl Edge, collect, route, transform, and analyze logs, metrics, and other observability data. Edge gathers real-time data from network edge devices, sending it to Stream or other destinations for processing. Stream routes and transforms data on-premises or in the cloud and forwards it to destinations, with integrations like Office 365 and Microsoft Azure to monitor activity and security. The goal is to give teams real-time visibility into data, improve operational efficiency, and strengthen security by managing data flows and observability insights.
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