SDR (AI)

Location: Hybrid in Berlin or Munich, Germany

Company

hirify.global builds an operating layer for AI-native enterprises, helping organisations automate complex workflows with self-learning AI agents.

What you will do

• Research target accounts, identify decision-makers, and personalise outbound outreach.
• Qualify inbound leads against ideal customer profile criteria and route them to Account Executives.
• Generate qualified meetings through multi-channel outreach across email, phone, LinkedIn, and video.
• Partner with Account Executives and GTM Leads on account planning, territory strategy, and sequencing.
• Maintain accurate CRM data, pipeline records, and handoff notes.
• Collaborate with Marketing and Solutions Engineering on messaging experiments and enterprise opportunities.

Requirements

• Demonstrated high performance in SDR/BDR roles, internships, entrepreneurial projects, competitive environments, student sales organisations, or other goal-oriented experiences.
• Strong written and verbal communication skills and the ability to discuss the AI agent space credibly with enterprise stakeholders.
• Hands-on experience with CRM tools such as Salesforce or HubSpot.
• Experience with outbound tools such as Outreach, SalesLoft, Apollo, or equivalent.
• Strong interest in AI, automation, or enterprise software, with a record of meeting or exceeding pipeline or meeting targets.

Nice to have

• Experience selling into operations, customer experience, finance, IT, or regulated industries.
• Exposure to AI, automation, RPA, or workflow software.
• Multi-language fluency; German is strongly preferred for EU-focused territory.
• Experience with verticalised GTM motions, named-account selling, or outbound playbook design.
• Background in a high-growth startup environment.

Culture & Benefits

• High-trust environment with high standards, curiosity, ownership, and long-term thinking.
• AI-native operating model with daily use of AI tools and a focus on agentic workflows and automation.
• Customer-focused, data-driven approach with rapid experimentation and tight feedback loops.
• Independent work aligned around outcomes, supported by candid feedback and collaboration.