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Solutions Engineer

Listed by Dialog

  • Verified live ·

Mentioned in this posting

  • Snowflake
  • Databricks
  • Spark
  • AWS
  • Kubernetes
  • Docker
  • Machine Learning

Description

A high-growth technology company developing an autonomous, machine learning-driven cloud optimization platform engineered for complex, data-heavy enterprise workloads. Serving global enterprises operating intensive analytical ecosystems, the firm pairs cutting-edge ML and cloud-systems research with strong commercial momentum. The engineering and customer-facing teams tackle non-trivial infrastructure challenges at scale. The office is located in Tel Aviv adjacent to major train and light rail stations. Role Description- Serving as a Senior Solutions Engineer / Pre-Sales Architect, owning the end-to-end technical engagement with enterprise customers from technical discovery through commercial close. Translating complex customer cloud architectures, pain points, and workload profiles into tailored technical solutions, clearly validating and proving numerical ROI. Designing and executing deep technical evaluations, interactive demos, whiteboarding sessions, and hands-on Proof of Concepts (POCs) on live enterprise workloads. Leading high-stakes technical sessions with senior engineering leaders, Chief Architects, and C-level executives, articulating both deep technical value and business outcomes. Serving as a vital bridge between field engineering and internal R&D, channeling enterprise feedback, edge cases, and feature requests directly into the core product roadmap. Championing a high-agency, customer-obsessed mindset to dismantle complex technical blockers and demonstrate measurable autonomous optimization. Requirements- 5+ years of proven experience in Solutions Engineering, Sales Engineering, or Technical Consulting, with a direct track record of influencing high-value enterprise software deals – Mandatory Deep, hands-on architectural and operational expertise in Cloud Infrastructures (primarily AWS) and modern Data Platforms (Databricks, Apache Spark, or Snowflake) – Mandatory Practical engineering knowledge of containerized workloads and distributed orchestration, specifically Kubernetes (K8s) – Mandatory Master of technical storytelling: highly skilled in live demos, architectural whiteboarding workshops, and managing complex technical POCs – Mandatory Demonstrated ability to command a room of Principal Engineers and VP-level stakeholders, bridging deep technical mechanics with business and financial value – Mandatory High-agency, autonomous mindset with exceptional analytical rigor, structured thinking, and a customer-obsessed problem-solving drive – Mandatory Academic degree in Computer Science, Software Engineering, or equivalent technical background – Advantage Show more Show less

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