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Parloa

Conversations AI platform for enterprise CX

Enterprise Account Executive

Account ExecutiveConfirmed live in the last 24 hours
Full-timeRemote in TurkeyNo salary listedRemote

About the Job

Requirements

  • At least 4 years of experience in SaaS or technology sales in a closing role, with a consistent record of meeting or exceeding revenue targets.
  • Ability to win new customers and navigate complex, multi-stakeholder enterprise sales cycles.
  • Experience building a pipeline in outbound-driven environments; exposure to new or developing markets is preferred.
  • Ability to engage and influence senior stakeholders, including vice presidents and C-level executives.
  • Communication, negotiation, and presentation skills.
  • Technical curiosity and interest in artificial intelligence-driven products and customer experience.
  • Native or bilingual Turkish and fluent English.

Responsibilities

  • Own the full sales cycle, from pipeline generation to closing, focusing on acquiring new enterprise customers and establishing the company in Eastern Europe.
  • Build and expand a new market by identifying opportunities, shaping territory strategy, and creating momentum in an untapped region.
  • Lead complex, multi-stakeholder sales processes, including tenders, negotiations, and commercial structuring with senior decision-makers.
  • Advise customers on how the company’s platform and agentic artificial intelligence can drive measurable business impact and transformation.
  • Partner with Solution Engineering, Business Development, and Value Consulting to deliver a high-quality buying experience.
  • Maintain accurate forecasts and visibility into risks, gaps, and opportunities.

Desired Qualifications

  • Exposure to new or developing markets.

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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