layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Enterprise Sales Engineer at Rimes Technologies | LAYIQ

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

Enterprise Sales Engineer

Employer job description

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Key Responsibilities

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