Sales Engineer

Role Overview

• Partner with the Account Executives to understand customer challenges and mains, and articulate Sumo Logic’s value proposition, vision, and strategy to customers
• Technically close complex opportunities through advanced competitive knowledge, technical skill, and credibility
• Understand and help orchestrate all phases of the sales cycle, including leading technical validations during the Proof of Value phase
• Be successful working with all levels of an organization, from executives down to individual developers and Site Reliability Engineers
• Deliver product and technical demonstrations of the Sumo Logic service
• Work cross functionally with Product Management and Engineering to improve the Sumo Logic service based on your experience with customers

Requirements

• B.S. in Computer Science, Engineering, or a related field; M.S. in Computer Science, Engineering, or a related field (preferred)
• 2+ years as a Solutions Engineer (preferred), Solutions Architect (preferred), Sales Engineer (preferred), Implementation Consultant, Support Engineer, Site Reliability Engineer, or a Software Developer with experience leading projects and/or working with customers
• Hands on knowledge of Security related products, technologies, and sources such as IDS/IPS, SIEM/Log Management, Network / Endpoint Security, Threat Detection, Incident Response, MSSP/MDR, Threat Feeds, CASB, etc
• Experience with open source collections (Telegraf, FluentBit, FluentD, Open Telemetry, etc.) (preferred)
• Experience with leading and running technical validations like Proof of Value (preferred)
• Experience selling and working with pure SaaS solutions in multi-tenant architectures
• Experience with Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure (certification is preferred)
• A broad background and understanding of technical infrastructure (servers, networking devices, storage, etc.)
• Modern application architecture (micro-services, containers) understanding and experience working with Kubernetes, Docker, and/or Lambda (preferred)
• Experience with various monitoring tools like Splunk, Datadog, Elastic, New Relic, etc. (preferred)
• Comfortable working in a dynamic, fast-paced startup environment and experience at a successful startup (preferred)
• Strong written and verbal communication skills, as well as business and technical acumen.

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• Google Cloud Platform
• Kubernetes
• Open Source
• Splunk

Benefits

• Compensation varies based on a variety of factors which include (but aren’t limited to) role level, skills and competencies, qualifications, knowledge, location, and experience.
• certain roles are eligible to participate in our bonus or commission plans, as well as our benefits offerings, and equity awards.