Enterprise Sales Engineer (EMEA)
Rimes Technologies
- London, United Kingdom
- Mid Level
- Posted
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.
Are equally credible speaking to:
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
