Enterprise Sales Engineer
Senior pre-sales role designing enterprise investment data architectures for capital markets clients, demonstrating Rimes’ managed data solutions and analytics platform to CIOs and investment teams.
- Compensation
- Not disclosed
- Location
- New York, New York
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Solutions engineering
- Posted
Skills
Must have
- 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 North American clients unique challenges including exposure to asset managers and asset owners
- 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 an
Full description
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 US and Canada regions
- 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 ResponsibilitiesClient 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