Business Development Leader (SaaS)

TL;DR

Business Development Leader (AI-powered SaaS): Design and operate an AI-driven BD function handling inbound and outbound for SME, mid-market, and enterprise with an accent on signal-based outbound, AI agents, and data-measured performance. Focus on scaling high-output pipeline engines, experimenting with BD orthodoxy, and building orchestrated multi-channel plays in ABM alignment.

Location: Hybrid in Munich, Germany

Company

hirify.global develops AI-powered SaaS solutions for supply chain transparency, efficiency, and sustainability, serving 2,500+ companies in 50+ countries; unicorn backed by Goldman Sachs.

What you will do

• Lead and scale a high-performing BD team across regions and segments, setting a data-driven, technical culture.
• Own 100% AI-driven inbound funnel with ICP scoring, disqualification, routing, and BDR oversight.
• Run signal-based outbound with live intent signals, TAM tiering, and personalized multi-channel ABM plays.
• Manage pipeline metrics like qualified meetings, conversion rates, and reply rates through continuous experimentation.
• Implement and optimize BD tech stack including HubSpot, AI agents, and conversation intelligence.
• Partner with AEs on handoffs and co-design qualification processes.

Requirements

• Hybrid work in Munich, Germany
• 5–8 years in BD/SDR leadership at fast-growing B2B SaaS, building high-output pipeline engines.
• Fluency with modern BD stack: HubSpot, sequencing, Clay, Apollo, ZoomInfo, LinkedIn, Gong, ABM.
• Strong views on ICP, signals, tiering, ABM alignment, and handoff design.
• Experience running AI agents in BD (research, messaging, signals).
• Proven people leadership, data-first, experiment-driven mindset; English fluent, German or Spanish a plus.

Nice to have

• German or Spanish language skills.

Culture & Benefits

• High energy, low ego, deeply technical, data-driven team culture.
• Focus on innovation in AI for BD, sharing experiments publicly.
• Emphasis on continuous improvement and measurable results.

Hiring process

• Assess BD leadership experience, AI fluency, and stack knowledge.
• Evaluate people leadership and data-driven approach.