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Pre-Sales Engineer
Open (YC W24). Join enterprise sales calls and lead technical discovery with prospects .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solutions engineering and technical architecture, with a strong focus on API integrations, AI systems, and customer engagement. Capable of leading technical discovery sessions and creating tailored solutions for enterprise clients.
Highest-signal resume keywords
Solutions EngineeringAPI IntegrationAI Systems UnderstandingTechnical DiscoveryCustomer Engagement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Solutions EngineeringPre-Sales EngineeringSolutions ArchitectureAPI UnderstandingRESTWebhooksSaaS ArchitectureIntegration DevelopmentTechnical DocumentationAI Concepts
Soft Skills
Strong CommunicationPresentation SkillsOwnership MentalityProblem-SolvingAdaptability
Tools & Technologies
PostmanSalesforceZendeskIntercomGenesysServiceNowCRMsERPsMCPWebhooks
Industry Keywords
Enterprise SalesTechnical DiscoveryCustomer-Facing RoleFast-Moving Sales CyclesTechnical Handoff
Tech Stack
Tools & technologiesServiceNow
About the role
Key responsibilities & impact- Join enterprise sales calls and lead technical discovery with prospects
- Understand customers' existing architecture, systems, workflows, integrations, and operational requirements
- Design proposed Open solutions around each customer's use case
- Build customized demos and proof of concepts for strategic opportunities
- Configure AI agents, workflows, integrations, APIs, and automations for demos and pilots
- Explain Open's architecture, AI stack, integrations, security model, infrastructure, and data flows to technical stakeholders
- Work with customer engineering, security, IT, operations, and procurement teams
- Answer technical questions during RFPs, security reviews, vendor assessments, and procurement processes
- Work with engineering and product teams when deals require new functionality or deeper technical validation
- Help define technical scope and success criteria for pilots and proof of concepts
- Identify technical risks early and help resolve them before they block a deal
- Support integrations with platforms such as Salesforce, Zendesk, Intercom, Genesys, ServiceNow, CRMs, ERPs, payment platforms, and internal APIs
- Help customers understand backend integrations through APIs, MCP, webhooks, workflows, and custom integrations
- Demonstrate AI voice, email, chat, WhatsApp, workflow automation, and agentic use cases
- Create reusable technical documentation, demo environments, architectures, and solution patterns
- Provide structured prospect feedback to Product and Engineering
- Ensure a clean technical handoff from Sales to implementation and customer success teams
- Independently own the technical side of enterprise opportunities, from discovery through architecture, demos, pilots, objection handling, and deployment
- Create reusable architectures, demos, documentation, and technical sales playbooks to scale the enterprise sales process
Requirements
What you’ll need- Strong technical background and 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 or similar tools
- Ability to build lightweight integrations, scripts, or prototypes when necessary
- Good understanding of AI and LLM-based systems
- Comfortable explaining technical AI concepts to both technical and non-technical stakeholders
- Strong communication and presentation skills
- Ability to run technical discovery sessions independently
- Ability to understand a customer's problem and translate it into a technical architecture
- Comfortable working directly with large enterprise customers
- Comfortable operating in fast-moving sales cycles where requirements can change quickly
- Strong ownership mentality and willingness to do whatever is necessary to move an opportunity forward