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Duvo

AI-native enterprise process automation platform

Sales Development Representative

Sales Development RepresentativeConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • Have 2+ years in an SDR or BDR role selling B2B software, with a track record showing a full cycle of quota attainment.
  • Have worked with AI technology, either as a user or seller, and be able to explain the tools used, why they are used, and their limitations.
  • Use AI-native tooling such as Clay, Lemlist or equivalents, and a trusted large language model.
  • Build your own prospect lists and pursue prospects without waiting for marketing.
  • Write concise, specific outbound messages tailored to the prospect.
  • Handle rejection professionally.
  • Be fluent in English; a second European language is advantageous.

Responsibilities

  • Build pipeline into enterprise retail and consumer goods across EMEA and into additional industries the company enters.
  • Identify suitable prospects, including Heads of Supply Chain, Finance Directors, and Commercial Operations leads.
  • Research companies' operational processes and identify processes that may be costing them money before writing outreach.
  • Run outbound campaigns across email, phone, LinkedIn, and other effective channels.
  • Use AI for research, list building, personalization, and qualification, and build tools to automate repeated tasks.
  • Hand qualified meetings to the account executive with an attached hypothesis about the prospect's likely problem.
  • Report what is and is not working based on market feedback.

Desired Qualifications

  • Experience selling into retail, fast-moving consumer goods, or supply chain operations.
  • Exposure to consumption-based pricing, hyperscaler ecosystems, or partner-led selling.
  • Have built something at work or outside work that other people use.

About the Company

Duvo

AI-native enterprise process automation platform

Duvo provides an AI-native process automation platform for large enterprises that acts as an enterprise execution OS to map, run, and improve business operations. It combines process discovery with self-learning AI agents that execute approved processes across existing systems (CRMs, ERPs, collaboration tools, and legacy platforms) without IT setup, and every write-back goes through human-in-the-loop approvals with audit logs. Unlike traditional RPA, its agents adapt to system changes, and governance is built in with approvals and logs, supported by security certifications and EU-only single-tenant options. Its goal is to give large organizations a scalable automation layer that continuously maps, executes, and improves complex processes to drive measurable ROI.

Company size
1-10
Company stage
Series A
Total funding
$47M
Headquarters
Prague, Czechia
Founded
2025

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