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Salary: USD 150,000 - 200,000 / annual
Levelpath is a modern AI procurement platform for global enterprises, founded in 2022, on a mission to make procurement delightful. The platform delivers clarity, control, and intelligence across procurement, finance, legal, and IT functions—from intake and sourcing to contracting and payment.
As Sales Engineer, you are a shared technical specialist working across accounts alongside Solutions Consultants, Account Executives, and Customer Success, Implementation, and Product teams. You lead deep technical conversations when customers' IT or engineering teams need to explore integrations, architecture, or custom requirements.
Key responsibilities:
- Lead technical conversations across the portfolio, partnering with Solutions Consultants on enterprise deals requiring deep engagement with customer IT, enterprise architecture, and engineering teams.
- Define integration approaches across ERP, P2P, CLM, HRIS, and identity systems using Levelpath connectors, APIs, webhooks, SSO, and SCIM; present with confidence to technical audiences.
- Advise on Proofs of Value by helping define technical success criteria, answering integration and architecture questions, and resolving technical blockers.
- Scope custom requirements by translating customer asks into feasible scope tied to clear business outcomes, validated with Product and Engineering (you do not build custom work; you ensure it is the right work, sized accurately).
- Bridge field and product by working closely with Product and Engineering on integration capabilities, roadmap fit, and feasibility; bring patterns from accounts to inform product development.
- Set up delivery for success by handing off clearly to Implementation and Custom Development so commitments made in sales carry through to go-live.
- Scale the team by building reusable assets such as reference architectures, integration FAQs, security responses, and POV templates for Solutions Consultants.
Requirements:
- 5+ years 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: ability to read documentation, make test calls, and reason through data flows and edge cases.
- Integration experience with enterprise systems such as NetSuite, SAP, Oracle, Workday, Coupa, or Ariba.
- Practical fluency with AI in technical and business work; ability to explain how AI workflows work, where inputs come from, and how outputs can be validated to both business and technical audiences.
- Strong judgment on scope; ability to weigh business value against technical effort and explain tradeoffs to customers and engineers.
- Working knowledge of security and identity, including SAML SSO, SCIM, encryption, and SOC 2.
- Clear communication with audiences ranging from procurement leaders to developers.
Nice to have:
- Procurement or source-to-pay domain experience.
- Experience designing or configuring AI agent workflows in an enterprise setting.
- Familiarity with GraphQL and light scripting for testing and validation.
