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Enterprise Sales Engineer (EMEA)

Rimes Technologies

Join Rimes, a leading provider of investment data managed services and investment intelligence platforms. As an Enterprise Sales Engineer, you will play a critical role in shaping client engagements, from early discovery through to solution design, demonstrations, proof-of-value, and transition to delivery. You will act as a trusted technical advisor to CIOs, COOs, Heads of Investment Data & Technology, Risk, Performance, and Operations. This is a senior pre-sales and solution-design role that requires a deep understanding of investment data domains and operational workflows.

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About Rimes Technologies

Data engineers

  • Can articulate with authority enterprise investment data flows from source data to regulatory disclosure
  • Are intellectually curious to understand the development of investment data & technology eco-system and evolving business models
  • View pre‑sales not as support, but as strategic enterprise enabler
  • Are energized by complex client investment data and technology challenges

Responsibilities

  • Lead technical and functional discovery sessions with prospective clients to understand their data, governance, technology, and operating-model challenges.
  • Design and articulate enterprise-grade investment data architectures leveraging Rimes’ capabilities across multi-asset investment data management.
  • Own the technical pre-sales engagement for Rimes solutions, delivering scenario-driven and compelling product demonstrations that mirror real client operating models.
  • Commercial awareness and comfort supporting solution scoping and deal strategy
  • Risk & compliance leaders

Requirements

  • Familiarity with modern data platform technologies such as Databricks, Snowflake, or cloud-native data warehouses; ability to articulate Rimes’ data delivery within clients’ existing data lakehouse and cloud architectures
  • Strong experience in financial services, investment management, or capital markets
  • Deep understanding of investment data domains and operational workflows (pricing, benchmarks, corporate actions, reference data, analytics)
  • Ability to articulate complex technical concepts clearly to both technical and executive stakeholders
  • Proven experience in pre‑sales, solutions engineering, or consulting roles within enterprise technology or data platforms
  • Experience of North American clients unique challenges including exposure to asset managers and asset owners
  • Ability to leverage AI-tools effectively to drive operational efficiency
  • Ability to work autonomously while thriving in a collaborative, high‑performance team environment
  • Consultative, outcome‑oriented client engagement style
  • Strong written and verbal communication, including executive‑level presentations
  • Investment professionals
  • Technology executives