Solutions Engineering Lead (Pre-Sales)

Posted 15 Days Ago
Be an Early Applicant
Hiring Remotely in San Francisco, CA
Remote
220K-300K Annually
Senior level
Machine Learning • Software
The Role
Lead pre-sales professionals, strategize with account executives, conduct presentations, oversee POCs, and develop innovative customer solutions.
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%.

As a Solutions Engineering Lead (Pre-sales), you will play a pivotal role in driving our customer engagements and leading a team of skilled professionals to deliver technical excellence. You will combine technical expertise, leadership, and strategic vision to ensure customers achieve the best outcomes on their observability and security journeys.

Key Responsibilities

  • Lead and mentor a team of pre-sales professionals, fostering growth and driving both individual and team success.
  • Strategize with account executives to navigate complex technical sales cycles successfully.
  • Conduct impactful presentations and demonstrations tailored to diverse personas, from engineers to C-suite executives.
  • Oversee Proof of Concepts (POCs), ensuring alignment with customer success metrics and seamless technical integration for customer environments.
  • Develop innovative solutions to address customer challenges and enhance product offerings.
  • Foster a culture of innovation and excellence, positioning Coralogix as a thought leader in observability.



Requirements

  • Minimum of 7 years in customer-facing technical roles, including pre-sales, solutions engineering, or technical architecture.
  • Minimum of 3 years managing technical teams in pre-sales, solutions engineering, or technical architecture, with demonstrated leadership skills.
  • Outstanding communication and presentation skills, with an ability to simplify complex concepts.
  • Proven expertise in technical integrations and POC delivery.
  • Proficiency in programming languages (e.g., Java, Go, Python).
  • Solid understanding of observability, log management, APM, RUM, and SIEM.
  • Background in Engineering/DevOps is a plus.

Technical Expertise

  • Strong hands-on knowledge of Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry.
  • Ability to design and implement tailored solutions, such as integrating OpenTelemetry with existing monitoring systems, to address diverse operational needs.

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.

Compensation and rewards

  • The on-target earnings range for this role is $220,000-$300,000. When determining your salary, we consider your experience, skills, education, and work location.
  • Our total compensation package includes comprehensive and inclusive employee benefits for healthcare, dental, and mental health benefits, a 401(k) plan and match, paid sick time and paid time off.

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


Top Skills

AWS
Azure
Docker
GCP
Go
Java
Kubernetes
Opentelemetry
Prometheus
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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