About the roleThe Sales Engineer is a shared technical specialist who works across accounts alongside our Solutions Consultants, Account Executives, and Customer Success, Implementation, and Product teams. When a customer's IT or engineering team wants to go deep on integrations, architecture, or custom requirements, you lead that conversation.
You bring clarity to complex technical deals. You help scope custom work so it serves the customer's business outcome and is feasible to deliver. You also connect what you learn in the field to Product and Engineering.
What you will do- Lead technical conversations across the portfolio. Partner with Solutions Consultants on deals that need 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 them with confidence to technical audiences.
- Advise on Proofs of Value. Partner with Solutions Consultants as they run POVs. Help define technical success criteria, answer integration and architecture questions, and resolve technical blockers so the POV stays on track.
- Scope custom requirements. Translate customer asks into a scope that ties to a clear business outcome and is validated for technical feasibility with Product and Engineering. You do not build custom work. You make sure it is the right work, sized accurately, before it reaches delivery.
- Bridge the field and the product. Work closely with Product and Engineering on integration capabilities, roadmap fit, and feasibility. Bring back patterns you see across accounts so they inform what we build.
- Set up delivery for success. Hand off clearly to Implementation and Custom Development so commitments made in the sale carry through to go-live.
- Scale the team. Build reusable assets such as reference architectures, integration FAQs, security responses, and POV templates that Solutions Consultants can use on their own.
What you bring- 5+ years in sales engineering, solutions architecture, or technical consulting at a B2B SaaS company, ideally supporting enterprise deals.
- A background in implementation or product management.
- Hands-on API skills. You can 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. You use AI tools to move faster and drive results. You can also explain how an AI workflow works, where its inputs come from, and how its outputs can be validated, to both business and technical audiences.
- Strong judgment on scope. You can weigh business value against technical effort and explain the tradeoff to a customer and to an engineer.
- 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.
The estimated annual OTE for this role is $150,000- $200,000.
