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Senior Solutions Engineer

Sisense·ישראל·en
במקום העבודהמשרה מלאהפיתוח עסקיEnterprise SoftwareData Infrastructure

Join an analytics software company as a customer-facing technical partner for Account Executives across EMEA. Lead discovery, solution design, demonstrations, and proofs of concept for an AI-powered embedded analytics platform. The role is based in Ramat Gan and follows a Monday-to-Friday schedule,,

תחומי אחריות

  • Partner with Account Executives throughout sales cycles to demonstrate technical value and strategic ROI
  • Lead technical and business discovery sessions, qualify opportunities, identify customer needs, and scope solution architectures
  • Build and deliver proofs of concept and technical demonstrations using data modeling, dashboards, React or JavaScript SDKs, and REST APIs
  • Collaborate with Customer Success, Professional Services, Product, and Engineering teams on deal progression and post-sales handoffs
  • Share technical knowledge, document best practices, and support enablement for the Sales Engineering team
  • Track developments in data engineering, embedded analytics, cloud architecture, and AI/LLM technology
  • Own solution strategies and technical relationships within the assigned pipeline

דרישות

  • Experience in a customer-facing technical pre-sales role such as Sales Engineering, Solution Architecture, or Technical Consulting
  • Ability to explain complex technical concepts to developer teams and executive stakeholders
  • Hands-on SQL experience with modern data platforms such as Snowflake, BigQuery, or Databricks
  • Proficiency in JavaScript or modern web frameworks such as React, Angular, or Vue
  • Experience with application embedding and REST API integrations
  • Understanding of business intelligence, analytics platforms, data architecture, and cloud SaaS infrastructure
  • Ability to manage multiple opportunities independently
  • Fluent written and spoken English

יתרון

  • Python or server-side development experience
  • Experience with embedded analytics, generative AI or machine learning architectures, or developer platform SDKs
  • Familiarity with value-based sales methodologies such as MEDDPICC or Challenger
  • Additional European languages

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