Addepar
Enterprise Sales Engineer
About this role
Addepar seeks an Enterprise Sales Engineer to lead technical sales cycles for their AI-powered financial data platform. You'll serve as the domain expert supporting account executives with C-suite presentations, proof-of-concepts, and account expansions while collaborating with product teams.
What you'll do
- Lead technical discovery sessions and design tailored demo environments with client data ingestion
- Conduct executive presentations and reviews for enterprise clients, showcasing AI-driven workflows and platform integration
- Support account executives throughout the full sales lifecycle and relationship expansion initiatives
- Manage RFP/RFI responses and coordinate between sales and internal product/engineering teams
- Guide existing clients through platform modernization and adoption of AI-powered insights
- Identify and deliver new platform value to drive incremental revenue for large accounts
What they're looking for
- Sales Engineering or Solutions Architecture (3+ years)
- AI and data ecosystem expertise
- Executive presence and leadership
- Technical discovery and requirements mapping
- Data architecture and database workflows
- Financial software domain knowledge
- Proof-of-concept design and execution
- RFP/RFI response management
Benefits
- Base salary: $122,000 - $153,000
- Bonus
- Equity
- Comprehensive benefits package
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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.
- Website
- addepar.com
Likely interview questions
- Can you walk us through a complex sales cycle you led as a Sales Engineer where you had to conduct deep technical discovery and then translate those requirements into a tailored demo or proof-of-concept?
- Describe your experience with AI-driven software platforms. How have you articulated AI value propositions to non-technical stakeholders, and can you give an example of how you've championed AI adoption internally?