Job: Pre-Sales Engineer
Location: Amman, Jordan (On-site)
Industry: Tech Startup (AI)
Engagement Details:
- Engagement: Direct independent contractor
- Work setup: On-site in Amman, Jordan, six working days per week with one day off
- Compensation: JOD 1,800 to 2,800 gross base per month
- Benefits: Highest-tier GIG health insurance after probation and standard paid leave in Jordan
About the Role:
Our client, a YC-backed AI startup, is hiring a Pre-Sales Engineer to work closely with the commercial team and prospective customers. The role sits between Sales, Product, Engineering, and the customer, turning complex requirements into clear, technically credible solutions. The successful candidate will be heavily involved in enterprise sales cycles, from the first technical discovery call through solution design, demos, pilots, security reviews, and handoff to implementation.
Key Responsibilities:
- Technical Discovery: Join enterprise sales calls and lead technical discovery with prospects, understanding their architecture, systems, workflows, integrations, and operational requirements
- Solution Design: Design proposed solutions around each customer's use case, and help define technical scope and success criteria for pilots and proofs of concept
- Demos & Proofs of Concept: Build highly customized demos and proofs of concept for strategic opportunities, configuring AI agents, workflows, integrations, APIs, and automations
- Technical Advisory: Explain the architecture, AI stack, integrations, security model, infrastructure, and data flows to technical stakeholders
- Stakeholder Engagement: Work with customer engineering, security, IT, operations, and procurement teams, and answer technical questions during RFPs, security reviews, vendor assessments, and procurement processes
- Integrations: Support integrations with platforms such as Salesforce, Zendesk, Intercom, Genesys, ServiceNow, CRMs, ERPs, payment platforms, and internal APIs, and help customers understand how the product interacts with their backend systems through APIs, MCP, webhooks, workflows, and custom integrations
- Use Case Demonstration: Demonstrate AI voice, email, chat, WhatsApp, workflow automation, and agentic use cases
- Risk Management: Identify technical risks early in the sales process and help resolve them before they block a deal
- Internal Collaboration: Work with engineering and product teams when a customer requires new functionality or deeper technical validation, and provide structured prospect feedback
- Documentation & Handoff: Create reusable technical documentation, demo environments, architectures, and solution patterns for the sales team, and ensure a clean technical handoff to implementation and customer success teams
Requirements:
- Strong technical background and the ability to understand complex software systems quickly
- Experience in solutions engineering, pre-sales engineering, solutions architecture, implementation engineering, or a similar customer-facing technical role
- Strong understanding of APIs, REST, webhooks, authentication, integrations, and modern SaaS architecture
- Comfortable reading API documentation and testing APIs using tools such as Postman
- Ability to build lightweight integrations, scripts, prototypes, and proofs of concept using JavaScript, TypeScript, Python, or a similar language
- Good understanding of AI and LLM-based systems, and the ability to explain technical AI concepts to both technical and non-technical stakeholders
- English fluency and strong written, spoken, and presentation skills are non-negotiable
- Ability to run technical discovery sessions independently and translate a customer's problem into a technical architecture
- Comfortable working directly with large enterprise customers in fast-moving sales cycles where requirements can change quickly
- Strong ownership mentality with a proactive approach to moving opportunities forward
Bonus skills:
- Experience with customer experience or support platforms such as Salesforce Service Cloud, Zendesk, Intercom, Genesys, Talkdesk, or ServiceNow
- Experience with contact centers, telephony, SIP, VoIP, or voice AI
- Experience with enterprise security, SSO, SAML, OAuth, RBAC, and data residency requirements
- Experience with regulated industries such as financial services, payments, telecommunications, or healthcare
- Experience with cloud infrastructure such as AWS, Azure, Google Cloud, or Oracle Cloud
- Experience building or deploying AI agents or LLM applications
**Final engagement is conditional on an acceptable criminal-record check, including a certificate of non-conviction or equivalent, completed with the candidate's consent and in accordance with applicable law
