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AddeparAddeparNew York, NY

Enterprise Sales Engineer

Leads technical aspects of enterprise sales cycles for investment management platform, building demos, running POCs, and guiding AI/platform adoption to drive revenue growth. Requires 3+ years sales engineering experience, AI proficiency, and financial domain expertise.

Salary not listed
Hybrid3+ YOESales Engineering

About the role

What You’ll Do

  • Serve as the primary domain expert, supporting account executives throughout the entire sales and relationship expansion lifecycle
  • Guide existing clients through the modernization of their workflows, demonstrating platform and AI-powered insights
  • Conduct deep-dive discovery sessions to understand prospect requirements and map them to technical solutions
  • Design and build tailored demo environments, run end-to-end proof-of-concepts including client data ingestion
  • Lead technical executive reviews and expansion executions for largest relationships, driving incremental ARR
  • Manage technical portions of the sales cycle, including RFPs/RFIs and coordinating with product/engineering teams

Who You Are

Experience: 3+ years in Sales Engineering or Solutions Architecture, with proven track record in sales and account expansions

AI Specialist: Strong proficiency in AI-driven software and data ecosystems; articulate data strategy and operational efficiency

Executive Presence: Confidence to guide high-stakes technical engagements and lead executive reviews for senior stakeholders

Hands-on Technical Execution: Practitioner skilled in data architecture, managed database workflows, and strategic pitches

Investment Management Domain Expert: Robust understanding of global financial markets and asset classes (equities, fixed income, alternatives)

Revenue-Minded Engineer: Connect technical milestones to business value and ARR growth

Data Lakehouse: Understanding of workflows and integrating complex data sets (plus)

Education: Bachelor’s Degree required; CFA, CFP, Masters Degree (plus)

Travel: Flexibility to travel on short notice (10-20%)

Skills

AIData ArchitectureProof-Of-ConceptsInvestment ManagementFinancial MarketsAsset ClassesData LakehouseSales EngineeringDemo EnvironmentsRfps/Rfis
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