Enterprise Sales Engineer

Rimes; New York (NY); On-site; USD 165,000 - 175,000; Full time

Job summary

Rimes in New York seeks an Enterprise Sales Engineer to lead pre-sales and solution design for enterprise engagements across the US and Canada, translating complex investment data needs into compelling demonstrations.

You will partner with Enterprise Sales and Account Management, own the technical narrative from discovery to delivery, and shape outcomes with data platform architectures, governance, and operational resilience.

Qualifications

• Strong experience in financial services, investment management, or capital markets.
• Deep understanding of investment data domains and operational workflows (pricing, benchmarks, 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 and cloud architectures.

Responsibilities

• Own the end‑to‑end technical sales process for complex enterprise engagements.
• Lead discovery with clients to expose data governance and operating‑model weaknesses.
• Design end‑to‑end investment data architectures leveraging Rimes' capabilities across multi‑asset data management, benchmarks, reference data, pricing, and analytics.
• Deliver scenario‑driven product demonstrations that mirror client operating models.
• Lead high‑stakes proof‑of‑concepts, balancing depth, speed, and commercial impact.
• Articulate measurable business outcomes, not just technical success.

Skills

Strong experience in financialServices

Investment data domains

Pre-sales solutions engineering

Articulate complex concepts

North America clients experience

Databricks Snowflake familiarity

Tools

Databricks

Snowflake

Job description

About RimesRimes 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.

About RimesRimes 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 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

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.

Skills & Experience

Required

• 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 and cloud architectures.

Core Capabilities

• 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

You Will Thrive in This Role If You:

• 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

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

Salary Benchmark: $165,000 - $175,000

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it's through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

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