About Rimes

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.

Role Overview

The Enterprise Sales Engineer is a senior pre‑sales and solution‑design role, partnering closely with Enterprise Sales and Account Management to articulate and demonstrate the value of Rimes’ investment data managed services and investment intelligence platform.

Own the end‑to‑end technical sales process for complex enterprise engagements involving Rimes’ managed data solutions & investment intelligence & analytics platform
Act as a trusted technical advisor to CIOs, COOs, Heads of Investment Data & Technology, Risk, Performance and Operations
Lead discovery with clients that goes beyond requirements gathering to expose structural data, governance, and operating‑model weaknesses
Lead engagements across EMEA region
Reporting to the Head of Enterprise Solutions, the Enterprise Sales Engineer plays a critical role in shaping client engagements, from early discovery through to solution design, demonstrations, proof‑of‑value, and transition to delivery.

Key Responsibilities

Client Discovery

Partner with the sales and account management teams by leading technical and functional discovery sessions with prospective clients to understand data, governance, technology and operating‑model challenges across their investment lifecycle
Design end‑to‑end Rimes solutions that support enterprise data management, portfolio oversight, rebalancing, data quality, operational resilience, and regulatory obligations

Solution Architecture

Design and articulate enterprise‑grade investment data architectures leveraging Rimes’ capabilities across:
Multi‑asset investment data management
Benchmarks, indices, reference data, pricing, ESG and research
Performance, risk, attribution, and regulatory reporting workflows
Data platform delivery and integration, including data lakehouse architectures (Databricks, Delta Lake), cloud data warehouses (Snowflake, Azure Synapse) etc.
Translate highly nuanced client challenges (e.g. private markets data, custodian transitions, operating model evolution, regulatory compliance, internal vs outsourced models) into a coherent solution architecture

Pre‑Sales Execution

Own the technical pre‑sales engagement for Rimes solutions
Investment Data Managed Services, including benchmarks, indices, ref data, pricing, research, ESG, corporate actions
Investment Intelligence platform supporting Total Portfolio View (TPV), rebalancing under Strategic Asset Allocation (SAA) and the transition to Total Portfolio Approach (TPA)
Deliver scenario‑driven and compelling product demonstrations that mirror real client operating models rather than generic functionality walkthroughs
Lead high‑stakes proof‑of‑concepts, balancing depth, speed, and commercial impact
Articulate measurable business outcomes, not just technical success

Commercial & Proposal Support

Partner with Sales and Account Management to position Rimes strategically against incumbent vendors and internal build options
Own the technical narrative across RFPs, RFIs and executive presentations - not just answering questions, but shaping evaluation criteria
Capture detailed client requirements into Statements of Work and support accurate scoping of implementation and managed services

Internal Collaboration

Ensure a seamless handover of pre‑sales engagements to Professional Services and implementation teams by providing context on solution intent, client priorities, and success criteria to support efficient implementation
Collaborate closely with Sales, Marketing, Product, Engineering, and Delivery teams
Contribute to internal enablement through knowledge sharing, solution artefacts, and best‑practice frameworks