Solutions Engineer, DoiT Cloud Intelligence
Our Solutions Engineer, DoiT Cloud Intelligence, will be an integral part of our Solutions Engineering team in the US. (Fully remote)Full-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 5+ years experience
- Required Skills
- AWSData AnalysisGCPMicrosoft AzureSnowflakeAnsibleServiceNowBigQueryDatabricksDatadog
Requirements
- 5+ years experience at B2B SaaS software company in a pre-Solution Engineering role selling into both enterprise and mid-market accounts.
- An understanding of ITSM eco-systems and prominent solutions within them, such as: Cloud Management tools, DataDog, Chef, Ansible, Puppet, New Relic, ServiceNow, AlertLogic etc.
- Experience working with Amazon Web Services (AWS) or equivalent cloud, and Datacenter experience with knowledge of hypervisors like VMWare.
- Strong data analysis skills and the ability /navigate spreadsheets to identify trends, outliers, correlations and reconciliation needs across large data sets.
- Good practical understanding of cloud-centric architectures.
- Comfort level working in a metric-driven environment, including reporting on and improving business performance against a set of monthly KPIs and metrics.
- The ability to take complex pieces of technology and explain them in a simple and easy to understand way.
- Solid verbal, written, presentation and interpersonal communication skills.
- Intellectual curiosity, great problem solving skills and passion for continuous improvement.
- Previous experience working with/presenting to executive level prospects and customers.
- Experience with modern technical selling best practices and selling in a competitive environment, including implementing new or improved trial, demo, and RFP processes.
- Proven track record of success in a fast growing and scaling business.
Responsibilities
- Technical Qualification & Discovery: Collaborating with the Account Executive to thoroughly understand the prospect’s cloud environment, FinOps maturity, cost management challenges, and operational goals through in-depth technical discovery sessions across engineering, finance, and platform teams.
- Technical Validation & POV Leadership: Owning and driving the technical validation and Proof of Values (POVs) specifically for DoiT Cloud Intelligence.
- Platform Demonstrations: Developing and delivering compelling and tailored demonstrations of DoiT Cloud Intelligence, showcasing capabilities such as cloud cost visibility, optimization insights, and operational intelligence across complex multi-cloud environments.
- Business Case & ROI Development: Leveraging your understanding of cloud economics and FinOps to develop compelling business cases and ROI analyses.
- Partner & Portfolio Motion Support (MSP, PE, SI): Supporting technical engagements with Managed Service Providers (MSPs), Private Equity (PE) firms, and Systems Integrators (SIs).
- DoiT Cloud Intelligence Expertise: Becoming the go-to expert within the company for DoiT Cloud Intelligence.
- Technical Win Ownership: Taking full ownership of the technical win for DoiT Cloud Intelligence engagements.
- Event & Conference Presentations: Representing DoiT Cloud Intelligence at company events, webinars, and industry conferences.
- Product Feedback and Customer Advocacy: Translate customer pain points, partner requirements, and feature gaps into structured, technically credible input for product and engineering teams.
- Accurate, Timely Documentation: Ensure timely entry of data into internal business support systems.
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