
Senior Solutions Engineer - Partners APJ
- Singapore
- Permanent
- Full-time
- Partner with the Partner Sales Managers and GTM teams 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
- B.S. in Computer Science, Engineering, or a related field; M.S. in Computer Science, Engineering, or a related field (preferred)
- 4+ 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