
51 - 200 employees
Founded 2025
đ¤ Artificial Intelligence
âď¸ SaaS
đ˘ Enterprise
Artificial Intelligence ⢠SaaS ⢠Enterprise
Open is a YC-backed company that provides an AI-driven customer support platform which automates and unifies support across channels (voice, chat, email, WhatsApp, Slack, social) for enterprise customers. Its single AI engine powers agents that handle conversations, execute workflows by calling APIs, ingest and keep knowledge fresh from documents and resolved tickets, and integrates with existing helpdesks like Zendesk, Salesforce, Intercom, HubSpot and Freshdesk. Open emphasizes security and compliance (SOC 2 Type II, GDPR-aligned, HIPAA- and PCI-ready), offers a $2M satisfaction guarantee for the first 120 days, and positions itself as a B2B SaaS solution for mission-critical customer support.
đĽ 15 hours ago
đłđą Netherlands â Remote
â° Full Time
đĄ Mid-level
đ Senior
đ Pre-sales Engineer
đť Ghost score 25%
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51 - 200 employees
Founded 2025
đ¤ Artificial Intelligence
âď¸ SaaS
đ˘ Enterprise
Artificial Intelligence ⢠SaaS ⢠Enterprise
Open is a YC-backed company that provides an AI-driven customer support platform which automates and unifies support across channels (voice, chat, email, WhatsApp, Slack, social) for enterprise customers. Its single AI engine powers agents that handle conversations, execute workflows by calling APIs, ingest and keep knowledge fresh from documents and resolved tickets, and integrates with existing helpdesks like Zendesk, Salesforce, Intercom, HubSpot and Freshdesk. Open emphasizes security and compliance (SOC 2 Type II, GDPR-aligned, HIPAA- and PCI-ready), offers a $2M satisfaction guarantee for the first 120 days, and positions itself as a B2B SaaS solution for mission-critical customer support.
⢠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
⢠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
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