Sales Engineer (AI)

Location: San Francisco, United States

On-target earnings: $150,000–$200,000 annually

Company

An AI procurement platform for global enterprises, covering intake, sourcing, contracting, supplier management, and payment.

What you will do

• Lead technical conversations with customer IT, enterprise architecture, and engineering teams across enterprise sales opportunities.
• Define integration approaches across ERP, procure-to-pay, contract lifecycle management, HRIS, and identity systems using connectors, APIs, webhooks, SSO, and SCIM.
• Support Proofs of Value by defining technical success criteria, answering architecture questions, and resolving integration blockers.
• Translate customer requirements into clearly scoped, technically feasible work tied to business outcomes.
• Partner with Product, Engineering, Implementation, and Custom Development to align roadmap fit, feasibility, and delivery handoffs.
• Create reusable reference architectures, integration FAQs, security responses, and Proof-of-Value templates.

Requirements

• 5+ years of experience in sales engineering, solutions architecture, or technical consulting at a B2B SaaS company, ideally supporting enterprise deals.
• Background in implementation or product management.
• Hands-on API skills, including reading documentation, making test calls, and reasoning through data flows and edge cases.
• Experience integrating enterprise systems such as NetSuite, SAP, Oracle, Workday, Coupa, or Ariba.
• Practical fluency with AI tools and the ability to explain AI workflow inputs, processing, and output validation to business and technical audiences.
• Working knowledge of security and identity, including SAML SSO, SCIM, encryption, and SOC 2, with clear communication across technical and business audiences.

Nice to have

• Procurement or source-to-pay domain experience.
• Experience designing or configuring enterprise AI agent workflows.
• Familiarity with GraphQL and light scripting for testing and validation.

Culture & Benefits

• Work with Product and Engineering to connect customer insights to the product roadmap.
• Collaborate across Solutions Consulting, Account Executive, Customer Success, Implementation, and Custom Development functions.
• Build reusable technical assets that help scale the Solutions Consulting organization.