Job 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 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.

Requirements

Must-haves

Client Discovery
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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azuregoai

Platform: greenhouse
Effort: quick