Enterprise Sales Engineer (EMEA)

Rimes Technologies; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Hybrid working model

Training and support opportunities

Job summary

Rimes Technologies is seeking an Enterprise Sales Engineer to drive technical pre-sales and solution design for enterprise investments data platforms. You will own the end-to-end sales process, lead deep technical discovery, and design architectures across multi-asset data management, benchmarks, reference data, pricing, and regulatory reporting workflows.

You'll deliver scenario-driven demonstrations, lead proofs-of-value, and coordinate with Sales, Marketing, Product, and Delivery to ensure

Qualifications

• Familiarity with modern data platform technologies such as Databricks, Snowflake, or cloud-native data warehouses.
• Deep understanding of investment data domains and operational workflows.
• Articulate complex technical concepts clearly to technical and executive stakeholders.
• Proven experience in pre-sales, solutions engineering, or consulting roles within enterprise tech or data platforms.
• Ability to work autonomously within a collaborative, high-performance team.
• Commercial awareness and comfort supporting solution scoping and deal strategy.
• Strong written and verbal communication, including executive-level presentations.

Responsibilities

• Own the end-to-end technical sales process for complex enterprise engagements.
• Lead discovery sessions to uncover data governance and operating-model weaknesses.
• Design enterprise-grade data architectures leveraging Rimes capabilities.
• Deliver compelling product demonstrations and run high-stakes proofs-of-concept.
• Ensure seamless handover to Professional Services and delivery teams.

Skills

Pre-sales leadership

Solution architecture

Executive communication

Client engagement

Autonomous work style

Consultative selling

Tools

Databricks

Snowflake

Azure Synapse

Job description

• 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
• 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
• Product & Market Feedback:
• Act as a conduit between clients, Sales, Product, and Engineering by qualifying product enhancement requirements and sharing market intelligence to help evolve Rimes’ go‑to‑market strategies
• Why Rimes:
• Work with some of the world’s largest and most sophisticated asset owners and managers
• Be part of a firm shaping the future of investment data management and operational resilience
• Influence product direction, solution design, and client success at enterprise scale
• Operate in a collaborative, intellectually demanding, and growth‑focused environment

Benefits

• Hybrid working model
• Training and support opportunities

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 architecturesStrong experience in financial services, investment management, or capital marketsDeep 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 stakeholdersProven experience in pre‑sales, solutions engineering, or consulting roles within enterprise technology or data platformsExperience of North American clients unique challenges including exposure to asset managers and asset ownersAbility to leverage AI-tools effectively to drive operational efficiencyCommercial awareness and comfort supporting solution scoping and deal strategyAbility to work autonomously while thriving in a collaborative, high‑performance team environmentConsultative, outcome‑oriented client engagement styleStrong written and verbal communication, including executive‑level presentationsInvestment professionalsData engineersCan articulate with authority enterprise investment data flows from source data to regulatory disclosureAre intellectually curious to understand the development of investment data & technology eco‑system and evolving business modelsView pre‑sales not as support, but as strategic enterprise enablerRisk & compliance leadersAre equally credible speaking to:Technology executivesAre energized by complex client investment data and technology challenges