Enterprise Sales Engineer

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.

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 Asia-Pacific region, with concentration of clients in ASEAN and Australia
• 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

• 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

• 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

• 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

• 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

• 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

• 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.
• Skills & Experience

• 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)
• Proven experience in pre‑sales, solutions engineering, or consulting roles within enterprise technology or data platforms
• Ability to articulate complex technical concepts clearly to both technical and executive stakeholders
• Experience of Asia-Pacific clients unique challenges including exposure to large asset owners, Sovereign Wealth Funds and Australian Superannuation industry.
• 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.

• Consultative, outcome‑oriented client engagement style
• Strong written and verbal communication, including executive‑level presentations
• Ability to work autonomously while thriving in a collaborative, high‑performance team environment
• Commercial awareness and comfort supporting solution scoping and deal strategy
• Ability to leverage AI-tools effectively to drive operational efficiency

• Are energized by complex client investment data and technology challenges
• 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
• Are equally credible speaking to:
• Investment professionals
• Data engineers
• Risk & compliance leaders
• Technology executives
• View pre‑sales not as support, but as strategic enterprise enabler

• 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