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Rimes Technologies

Managed data and RegTech solutions

Global Head of Sales Engineering

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • Demonstrated success building a Sales Engineering function from the ground up, including defining its operating model, methodology, playbooks, structure, and global leadership bench.
  • At least 15 years of experience in enterprise technology, including meaningful Sales Engineering, technical pre-sales, or solutions consulting leadership experience.
  • Experience operating at VP level or above, with direct leadership accountability for teams across North America, EMEA, and APJ, multiple time zones, commercial environments, and client cultures.
  • Hands-on working knowledge of Snowflake, Databricks, and/or Microsoft Fabric, with the technical credibility to engage sophisticated clients at the architecture level.
  • Demonstrated application of AI in client solutions and in the design or evolution of internal Sales Engineering workflows, team structures, tooling, and productivity.
  • Experience redesigning a Sales Engineering organization and evaluating role mix, specialist or solution architect capabilities, coverage models, and segmentation by deal complexity.
  • Technical depth and go-to-market judgment to engage in CTO/CIO architecture discussions, strategic client engagements, pipeline reviews, and executive decision-making.
  • A track record of driving platform adoption and consumption growth alongside deal progression, technical validation, and revenue outcomes.
  • Ability to translate complex technical architecture into differentiated business value, with strong communication and executive presence.
  • Willingness to travel globally and remain hands-on in strategic deals while leading through a distributed leadership team.

Responsibilities

  • Build the global Sales Engineering function and leadership bench across North America, EMEA, and APJ, establishing the capability, structure, and standards required for the company’s next stage of growth.
  • Define and implement the global Sales Engineering operating model, technical sales methodology, playbooks, governance, coverage approach, and engagement frameworks.
  • Assess and redesign the current organization, including the use of solution architects, regional and global leadership roles, specialist capabilities, and tiered support by deal complexity or client segment.
  • Recruit, develop, and retain technical sales talent across geographies and time zones, fostering technical excellence, curiosity, accountability, and client-centricity.
  • Operate as a hands-on player-coach in strategic and complex deals while developing the capability and succession depth of the broader Sales Engineering team.
  • Partner with Sales leadership to deploy Sales Engineering resources across the pipeline, balancing global consistency with regional commercial environments and client cultures.
  • Lead discovery, solution architecture, technical presentations, demonstrations, and proof-of-concept engagements for strategic and complex opportunities.
  • Engage clients building on Snowflake, Databricks, Microsoft Fabric, and related cloud data ecosystems, translating platform capabilities into secure, scalable solutions.
  • Lead executive and technical client conversations on how AI can transform investment management workflows, data infrastructure, and operating models.
  • Develop expertise in the company’s platform, data capabilities, and integration ecosystem to address complex technical and functional questions from investment management clients.
  • Create solution narratives connecting the platform to client priorities across benchmark and index data, ESG, performance measurement, regulatory reporting, data governance, and modern data architecture.
  • Build trusted-advisor relationships with CIOs, CTOs, data officers, architects, operations leaders, and senior business stakeholders.
  • Serve as the primary feedback loop between the field and Product and Engineering teams, translating prospect and client needs into actionable product insights.
  • Partner with Marketing to develop technical content, case studies, competitive positioning materials, and thought leadership that supports pipeline development.
  • Collaborate with Account Management and Customer Success on transitions from pre-sales to post-sales and long-term client value realization.
  • Work with Sales Operations to instrument and report on team performance, pipeline contribution, and win/loss analysis.
  • Define the vision and strategy for a global, AI-native Sales Engineering function aligned with revenue, product, and go-to-market priorities.
  • Set a point of view on where AI should augment or replace traditional Sales Engineering workflows and translate it into changes in team structure, role design, tooling, productivity, and client engagement.
  • Design a tiered Sales Engineering model based on deal complexity, client segment, technical architecture, and strategic value, with clear engagement and escalation paths.
  • Establish and maintain scalable demo, sandbox, data, and reusable solution assets across core hyperscaler and cloud data platforms.
  • Define success measures connecting Sales Engineering activity to technical validation, platform adoption, consumption growth, pipeline progression, win rates, and long-term client value.
  • Contribute to forecasting, territory and capacity planning, and deal reviews as a member of the go-to-market leadership team.

Desired Qualifications

  • Leadership experience within a hyperscaler, cloud data platform, or AI-native enterprise technology company.
  • Experience in financial services, investment management, or another data-intensive regulated industry.
  • Knowledge of financial benchmark and index data, ESG data, performance measurement, regulatory reporting, or reference data management.
  • Experience with APIs, modern data integration, cloud security, governance, and enterprise data architecture.
  • An advanced degree in Computer Science, Engineering, Finance, Mathematics, or a related field, or equivalent practical experience.

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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