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Parloa

Conversations AI platform for enterprise CX

Lead Solutions Engineer

Pre-Sales Solution EngineeringUpdated on Nov 7
Full-time$219k - $250k /yr

About the Job

Requirements

  • 7–10+ years of experience as a Solutions Engineer, ideally at a SaaS vendor, with a strong grasp of enterprise sales processes and frameworks such as MEDDPICC.
  • Deep experience in contact center (CCaaS or UCaaS), VoIP, and telephony, including call flow, voice, and chat design.
  • Deep knowledge of enterprise technology stacks (Azure, AWS, GCP) and hands-on experience integrating and maintaining APIs.
  • Working understanding of Generative AI and large language models, with competency in prompt engineering and design.
  • Experience presenting credibly to technical and executive audiences.

Responsibilities

  • Co-own accounts and sales campaigns with assigned sellers in the territory, leading every technical stage of the deal cycle so enterprise prospects move from evaluation to commitment.
  • Build tailored demos and conversational AI experiences across voice and chat, showing integrations with customer systems to prove technical feasibility and build trust with technical stakeholders.
  • Design scalable, robust architectures and address data security and compliance requirements for enterprise IT teams and security reviews.
  • Bring customer needs into product roadmap discussions, working with Product Management, Customer Success, and Sales Enablement.
  • Improve internal processes, documentation, and ways of working across the Solutions Engineering team.
  • Represent Parloa at client on-sites, external events, and company gatherings; the role involves 20–30% travel.

Desired Qualifications

  • Experience with Channel, ISV, or GSI partners, or experience in a fast-paced startup.

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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