USD 170000-230000/yr

Sr. Solutions Engineer - Supply Chain

United States - San Francisco · San_franciscoRemotesenior

EngineeringSalesOperationsSolutions Engineer

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Quick Summary

Key Responsibilities

Engineer & Deliver POCs: Design and implement compelling technical demonstrations and proofs of concept tailored to prospective finance and accounting customers.

Requirements Summary

Engineer & Deliver POCs: Design and implement compelling technical demonstrations and proofs of concept tailored to prospective finance and accounting customers.

Technical Tools

EngineeringSalesOperationsSolutions Engineer

Requirements

~1 min read

Responsibilities

~1 min read

→Engineer & Deliver POCs: Design and implement compelling technical demonstrations and proofs of concept tailored to prospective finance and accounting customers.
→Pre-Sales Engagement: Partner with sales teams to identify customer pain points and craft technical solutions that highlight Legion Intelligence’s value.
→Customer Relationship Building: Establish trust with technical and business stakeholders, providing clear assessments of AI readiness, compliance implications, and expected ROI.
→Product Evangelism: Represent customer needs internally by sharing insights on financial workflows, ERP integration requirements, and emerging trends in AI adoption.
→Partner Collaboration: Work with ERP, accounting tech, and financial services partners to build joint demos, integrations, and go-to-market assets.
→Technical Leadership: Lead pre-sales presentations, workshops, and demos, translating technical AI concepts into business impact for non-technical audiences.
→Continuous Improvement: Relay feedback to engineering and product teams to refine features, improve model performance, and enhance user experience for finance-specific use cases.

Requirements

~1 min read

4+ years of experience in pre-sales engineering or solutions architecture, ideally serving enterprise clients.
Ability to understand and translate AI capabilities for finance and accounting applications, such as data classification, reconciliation, and regulatory compliance automation.
Proficiency with Python or similar scripting languages.
Strong understanding of financial and accounting workflows, including opportunities for automation and AI-driven optimization.
Familiarity with major ERP systems (e.g., NetSuite, Oracle, SAP, Workday).

Requirements

~1 min read

Experience working in a startup or fast-scaling technology environment.
Demonstrated success partnering with finance departments, accounting tech vendors, or ERP platform providers.
Experience designing AI or data automation solutions for financial operations, auditing, or compliance.

Opportunity to be at the forefront of enterprise AI adoption in one of the world’s most data-sensitive industries.
Work alongside experts in AI, data infrastructure, and enterprise sales.
Competitive compensation, remote flexibility, and a culture of curiosity, impact, and integrity.

Compensation Information

$170,000—$230,000 USD