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Addepar

Enterprise Sales Engineer

Remote, USA (Remote)$122k–$153kmidAdded 1 month ago

About this role

Addepar seeks an Enterprise Sales Engineer to lead technical sales engagements for their AI-powered financial platform, working with C-suite executives and account teams to demonstrate platform solutions for portfolio management and data integration. You'll conduct discovery sessions, build custom demos, and drive expansion opportunities for large enterprise clients managing billions in assets.

What you'll do

  • Lead technical presentations and executive reviews with C-suite and key stakeholders
  • Conduct discovery sessions and tailor demos to showcase platform fit for complex financial challenges
  • Design proof-of-concepts including client data ingestion to demonstrate platform value
  • Support account executives throughout full sales lifecycle and account expansion
  • Respond to RFPs/RFIs and coordinate with internal product and engineering teams
  • Guide existing clients through workflow modernization and AI adoption initiatives

What they're looking for

  • Sales Engineering or Solutions Architecture (3+ years)
  • AI-driven software and data ecosystems expertise
  • Financial software domain knowledge
  • Executive presence and stakeholder management
  • Technical discovery and requirements mapping
  • Data architecture and database workflows
  • Demo and proof-of-concept design
  • RFP/RFI response management

Benefits

  • Base salary $122,000 - $153,000 (Colorado, California, New York)
  • Bonus structure
  • Equity compensation
  • Remote work opportunity
  • Access to global organization with offices across major financial hubs
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Addepar

Addepar builds a financial data platform that serves wealth managers, financial advisors, and investment firms, with capabilities for managing alternatives data, private market investments, and enterprise financial workflows. The company is hiring full-stack engineers, field engineers, forward-deployed engineers, and sales engineers to develop scalable solutions, deliver client customizations, and drive platform adoption across the wealth management and alternatives investment sectors.

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Likely interview questions

  • Walk us through a complex sales cycle where you led technical discovery and built a custom POC or demo that directly influenced a deal outcome. How did you handle conflicting technical requirements from different stakeholders?
  • Describe your experience with AI-driven software platforms. How have you positioned AI capabilities to non-technical executives, and what challenges did you encounter in articulating ROI?