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Parloa

Conversations AI platform for enterprise CX

Director Solutions Engineering

Pre-Sales Solution EngineeringPosted on Nov 6
Full-timeNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of experience in Solution Engineering or a similar customer-facing technical role within SaaS or enterprise technology, including at least 2 years of leadership experience.
  • A strong technical foundation across application programming interfaces, cloud environments, integrations, and enterprise architecture.
  • Hands-on understanding of AI infrastructure, including large language models, model deployment, and how AI agents run in production.
  • Experience running complex, multi-stakeholder enterprise sales cycles with MEDDPICC or a similar framework.
  • Ability to translate technical concepts into clear business value and outcomes.
  • Fluency in English is required.

Responsibilities

  • Lead and grow the EMEA Solution Engineering team through its managers, including hiring, developing, and leading the team, and owning performance, career paths, and the hiring bar.
  • Set the Solution Engineering strategy with sales leaders, decide coverage across markets and segments, and ensure strategic deals have the appropriate engineer.
  • Apply MEDDPICC discipline to technical qualification, discovery, proof of value, and scoping.
  • Serve as the senior technical voice with customer executives on the region’s most important opportunities.
  • Work closely with Partnerships, Value Engineering, and Professional Services to provide customers with a seamless experience from initial conversation through go-live.
  • Translate customer needs into clear input for Product and Engineering.

Desired Qualifications

  • German language skills are a strong plus.
  • Use AI in all aspects of work.

About the Company

Parloa

Conversations AI platform for enterprise CX

Parloa builds an AI Agent Management Platform for enterprise customer experience across voice, chat, and messaging. The platform lets organizations design, deploy, and manage AI-powered conversational agents and route interactions, integrating with CRM/CCaaS systems. It coordinates multi-channel conversations through a centralized management layer, enabling training, testing, and deployment with data flows to human agents when needed. Its goal is to help large enterprises deliver consistent, scalable customer experiences by connecting AI agents with existing enterprise data and workflows.

Company size
501-1,000
Company stage
Series D
Total funding
$564.3M
Headquarters
Berlin, Germany
Founded
2017

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