Enterprise AI Solutions Architect — Sales Engineer

Hubtype

Barcelona

On-site

EUR 60,000 - 90,000

Full time

14 days+

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Job summary

Hubtype is seeking a technically adept Customer Success/Pre-Sales professional to bridge business needs and engineering. You will translate client requests like \'AI agent on WhatsApp\' into concrete designs, integration plans, and business cases before contracts are signed.

You will engage with mid-market and enterprise deals across sectors, ensuring scope accuracy, delivery feasibility, and a strong focus on AI-native workflows and scalable integrations.

Qualifications

  • 3+ years in a client-facing technical role in SaaS or integrator.
  • Experience scoping and estimating software projects for mid-market and enterprise.
  • Knowledge of CX, messaging platforms, CCaaS or CPaaS; familiarity with Twilio, Infobip, Zendesk, Genesys, Salesforce Service Cloud.
  • Native Spanish and fluent English; Catalan valued.

Responsibilities

  • Technical scoping on every deal: run discovery with business and IT stakeholders and turn it into a solution design and a statement of work that delivery can be held to.
  • Support Sales across the full cycle: demos, proofs of concept with success criteria agreed upfront, technical answers in RFPs and security questionnaires, and a structured handoff to Customer Success once the deal closes.
  • Scope upsells and change requests in existing accounts together with Customer Success, with the same rigor as new business.

Skills

Integration fluency
JavaScript/TypeScript
Python
AI tools
LLMs in production
Commercial judgment
Technical writing
Spanish & English fluency

Job description

Hubtype is seeking a technically adept Customer Success/Pre-Sales professional to bridge business needs and engineering. You will translate client requests like \'AI agent on WhatsApp\' into concrete designs, integration plans, and business cases before contracts are signed.

You will engage with mid-market and enterprise deals across sectors, ensuring scope accuracy, delivery feasibility, and a strong focus on AI-native workflows and scalable integrations.

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