Role Description
The Global Head of Sales Engineering is a senior leadership role responsible for building Rimes’ global pre-sales technical function for its next stage of growth. This is a builder mandate—not a role focused on maintaining or incrementally optimizing an inherited model. The successful leader will define the operating model, methodology, playbooks, organizational design, and global leadership bench across North America, EMEA, and APJ, while serving as a critical bridge between our commercial teams, Product and Engineering organizations, and prospective clients.
Reporting directly to the Chief Revenue Officer, this role combines hands-on technical leadership with go-to-market strategy. The successful candidate will be equally credible in a CTO/CIO architecture discussion and a pipeline review, lead strategic deals directly, and bring a forward-looking point of view on how AI transforms both investment management workflows and the Sales Engineering operating model. They will help sophisticated clients design on modern cloud data platforms while driving platform adoption, consumption growth, and durable client value—not simply deal closure.
Key Responsibilities
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Leadership & Team Development
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Build the global Sales Engineering function and leadership bench across North America, EMEA, and APJ.
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Define and implement the global SE operating model, technical sales methodology, playbooks, governance, coverage approach, and engagement frameworks.
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Assess and redesign the current organization rather than inherit it unchanged.
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Recruit, develop, and retain high-performing technical sales talent across geographies and time zones.
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Operate as a hands-on player-coach in strategic and complex deals.
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Partner with Sales leadership to deploy SE resources effectively across the pipeline.
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Pre-Sales Execution & Client Engagement
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Lead discovery, solution architecture, technical presentations, demonstrations, and proof-of-concept engagements.
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Engage credibly at the architecture level with sophisticated clients.
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Lead executive and technical client conversations on how AI can transform investment management workflows.
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Develop deep expertise in Rimes’ platform, data capabilities, and integration ecosystem.
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Craft compelling solution narratives that connect Rimes’ capabilities to client priorities.
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Build trusted-advisor relationships with CIOs, CTOs, data officers, and senior business stakeholders.
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Cross-Functional Collaboration
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Serve as the primary feedback loop between the field and Rimes' Product and Engineering teams.
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Partner with Marketing to develop technical content, case studies, and competitive positioning materials.
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Collaborate with Account Management and Customer Success to support smooth transitions from pre-sales to post-sales.
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Work closely with Sales Operations to instrument and report on SE team performance.
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Strategy & Operational Excellence
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Define the vision and strategy for a global, AI-native Sales Engineering function.
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Establish a clear point of view on where AI should augment or replace traditional SE workflows.
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Design a tiered SE model based on deal complexity, client segment, and strategic value.
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Establish and maintain scalable demo, sandbox, data, and reusable solution assets.
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Define success measures that connect SE activity to technical validation and long-term client value.
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Contribute to forecasting, territory and capacity planning, and deal reviews.
Qualifications
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Demonstrated success building a Sales Engineering function from the ground up.
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15+ years of experience in enterprise technology, including meaningful Sales Engineering experience.
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Experience operating at VP level or above, with direct leadership accountability for teams across multiple regions.
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Deep and current hyperscaler platform fluency: hands-on working knowledge of Snowflake, Databricks, and/or Microsoft Fabric.
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Demonstrated application of AI in client solutions and internal SE workflows.
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Experience redesigning an SE organization and challenging legacy structures.
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Strong communication, executive presence, and ability to translate complex technical architecture into business value.
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Willingness to travel globally and remain hands-on in strategic deals.
Preferred / Ideal Qualifications
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Leadership experience within a hyperscaler, cloud data platform, or AI-native enterprise technology company.
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Experience in financial services, investment management, or another data-intensive regulated industry.
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Knowledge of financial benchmark and index data, ESG data, performance measurement, regulatory reporting, or reference data management.
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Experience with APIs, modern data integration, cloud security, governance, and enterprise data architecture.
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Advanced degree in Computer Science, Engineering, Finance, Mathematics, or a related field.
What We Offer
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Competitive base salary and performance-based incentive compensation.
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Comprehensive benefits package including health, dental, vision, and retirement.
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Flexible, remote-friendly work environment with a collaborative global culture.
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Opportunity to shape and build a world-class Sales Engineering function.
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Regular exposure to senior leadership and involvement in key strategic decisions.
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The anticipated base salary range for this position is $250,000 - $280,000 annually.