Solution Engineer (Pre-Sales)

Posted 4 Days Ago
Hiring Remotely in United States
Remote
Senior level
Machine Learning • Software
The Role
Coralogix seeks a Solution Engineer (Pre-Sales) to enhance customer engagement through technical presentations and integrations, while collaborating with sales for effective sales cycles. The role demands expertise in observability tools, coding, and proven customer-facing skills to advise clients on their monitoring needs.
Summary Generated by Built In

Description

Coralogix is a modern, full-stack observability platform transforming how businesses process and understand their data. Our unique architecture powers in-stream analytics without reliance on expensive indexing or hot storage. We specialize in comprehensive monitoring of logs, metrics, trace and security events with features such as APM, RUM, SIEM, Kubernetes monitoring and more, all enhancing operational efficiency and reducing observability spend by up to 70%.

Commercial Solution Architects in Coralogix are key in meeting our customers’ expectations and helping them utilize their observability and security data. We are looking for hard-working, sharp, and humble professionals with proven technical customer-facing experience. Our architects are trusted advisors and consult our customers upon their monitoring, security & observability journey.

Major Solution Architect is a senior-level role expected to professionally and accurately present technical presentations across different personas, from software engineers and DevOps all the way to the C-suite.

Key Responsibilities

  • Collaborate with account executives to strategize, prepare, and execute on complex, technical sales cycles.
  • Deliver compelling presentations and product demonstrations that highlight our unique value proposition and the solutions we provide.
  • Oversee the technical aspects of the sales process, including sizing, discovering and Proof of Concepts.
  • ⁠Develop custom solutions to bridge any gaps and enhance the core offerings of our product.
  •  ⁠Possess a thorough understanding of the Observability market, advising customers on best practices and the most appropriate solutions for their needs.



Requirements

  • ⁠Minimum 5 years of experience in a customer-facing role such as pre-sales, solutions engineering or technical architecture.
  • Exceptional communication and presentation skills.
  • Proven ability in technical integrations and conducting POCs.
  • Proficiency in coding with high-level programming languages (Java, Go, Python).
  • Solid understanding of Monitoring, Observability, Log Management, SIEM.
  • Background in Engineering/DevOps will be considered an advantage.
  •  ⁠Previous experience in Technical Sales of Log Analytics, Monitoring, APM, RUM, SIEM is desirable.
  • Hybrid work - 3 days a week working from the Boston Office 

Technical Expertise

  •  ⁠In-depth knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, OpenTelemetry.
  • ⁠ ⁠Candidates should have hands-on experience and the ability to integrate these technologies into customer environments, providing tailored solutions that meet diverse operational requirements.

Cultural Fit

We’re seeking candidates who are hungry, humble, and smart. Coralogix fosters a culture of innovation and continuous learning, where team members are encouraged to challenge the status quo and contribute to our shared mission. If you thrive in dynamic environments and are eager to shape the future of observability solutions, we’d love to hear from you.

Coralogix is an equal-opportunity employer and encourages applicants from all backgrounds to apply.


Top Skills

Go
Java
Python
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The Company
HQ: San Francisco, CA
198 Employees
On-site Workplace
Year Founded: 2014

What We Do

We’re rebuilding the path to observability using a real-time streaming analytics pipeline that provides monitoring, visualization, and alerting capabilities without the burden of indexing.

By enabling users to define different data pipelines per use case, we provide deep insights for less than half the cost.

In short, we are streaming the future of data.

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