Rimes Technologies

Managed data and RegTech solutions

Enterprise Sales Engineer

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours

Full-timeNew York, NY, USA$165k - $175k

About the Job

Requirements

Strong experience in financial services, investment management, or capital markets.
Deep understanding of investment data domains and operational workflows, including pricing, benchmarks, corporate actions, reference data, and 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 technical and executive stakeholders.
Experience with North American clients and their 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, and ability to explain data delivery within clients’ existing data lakehouse and cloud architectures.
Ability to leverage artificial intelligence tools effectively to drive operational efficiency.

Responsibilities

Own the end-to-end technical sales process for complex enterprise engagements involving managed data solutions and the investment intelligence and analytics platform.
Act as a trusted technical advisor to CIOs, COOs, and leaders in investment data and technology, risk, performance, and operations.
Lead client discovery that uncovers structural data, governance, and operating-model weaknesses.
Lead engagements across the United States and Canada.
Partner with sales and account management teams to lead technical and functional discovery sessions and understand client challenges across their investment lifecycle.
Design end-to-end solutions supporting enterprise data management, portfolio oversight, rebalancing, data quality, operational resilience, and regulatory obligations.
Design and explain enterprise investment data architectures, including multi-asset data management; benchmarks, indices, reference data, pricing, ESG, and research; performance, risk, attribution, and regulatory reporting workflows; and data platform delivery and integration using data lakehouse architectures such as Databricks and Delta Lake and cloud data warehouses such as Snowflake and Azure Synapse.
Translate client challenges, including private markets data, custodian transitions, operating-model evolution, regulatory compliance, and internal versus outsourced models, into coherent solution architectures.
Own technical pre-sales engagements for investment data managed services and the investment intelligence platform, including Total Portfolio View, rebalancing under Strategic Asset Allocation, and transition to Total Portfolio Approach.
Deliver scenario-driven product demonstrations that reflect actual client operating models.
Lead proof-of-concepts while balancing depth, speed, and commercial impact.
Articulate measurable business outcomes.
Partner with Sales and Account Management to position Rimes against incumbent vendors and internal build options.
Own the technical narrative for requests for proposals, requests for information, and executive presentations, shaping evaluation criteria.
Capture detailed client requirements in Statements of Work and support accurate scoping of implementation and managed services.
Hand over pre-sales engagements to Professional Services and implementation teams with context on solution intent, client priorities, and success criteria.
Collaborate with Sales, Marketing, Product, Engineering, and Delivery teams.
Contribute to internal enablement through knowledge sharing, solution artefacts, and best-practice frameworks.
Qualify product enhancement requirements and share market intelligence with Sales, Product, and Engineering to inform go-to-market strategies.

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 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.

Visit our Careers page to see our complete listings.

About the Company

Rimes Technologies

Managed data and RegTech solutions

RIMES Technologies provides managed data services and RegTech solutions for the investment management industry. It offers data management, market and trade surveillance, ETF data management, and regulatory compliance capabilities (e.g., with the Benchmarks Regulation) for asset managers, hedge funds, and pension funds. Its products are delivered through subscription-based models and bespoke data solutions, designed to provide high-quality, fit-for-purpose data at the point of use with minimal client input. The company differentiates itself by combining ongoing data services with regulatory technology tailored to investment managers, focusing on long-term client relationships and continuous data innovation to improve data quality, flexibility, and coverage while reducing internal workloads. RIMES’ goal is to help clients stay compliant, manage data effectively, and operate with lower resource needs across a broad range of regulatory and market data requirements.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: New York City, New York
Founded: 1996

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