Sales Manager, Revenue Generation - EMEA

Overview

In this leadership role, you will guide a team of Account Executives selling complex, enterprise SaaS to CIO/CTO, VP Engineering, and CFO buyers across the UK & EMEA. You’ll drive growth in 100k–200k ARR deals, coach for peak performance, and shape sales strategy with data-driven insights. You’ll collaborate with Marketing, SDR, and Customer Success to generate pipeline and surface expansion within existing accounts.

The role combines strategic leadership with hands-on coaching in a fast-growing, AI-focused enterprise environment.

Pay / Benefits

• London HQ, 3 days in office, 2 remote
• 32 days holiday including bank holidays
• 12 weeks paid maternity and paternity leave
• 4 weeks per year flexible remote working from anywhere
• Annual leave purchase up to 10 extra days
• Work from home equipment allowance

• Lead and coach a team of Account Executives to close complex enterprise deals
• Drive pipeline generation partnerships with Marketing and SDR leadership
• Surface expansion opportunities within the install base in collaboration with Customer Success
• Use sales data and performance metrics to identify opportunities and implement improvements
• Navigate multi-stakeholder deals with executive-level buyers (CIO/CTO/VP Eng/CFO)
• Apply structured sales methodologies (MEDDPICC) and value-based selling in multi-signature environments
• Engage in joint calls and co-selling to develop team capability and win rates

• 3+ years of enterprise SaaS sales leadership with closing experience in 100k–200k+ ARR
• Direct experience selling to software engineering organizations and talking credibly with VP Eng and CTO buyers
• Executive-level selling capability with multi-stakeholder deal navigation
• Hands-on coaching style with direct involvement in sales activities
• Data-driven decision making using pipeline and performance metrics
• Exposure to value-based selling methodologies and MEDDPICC

• coaching and mentoring
• data-driven mindset
• strong executive presence
• experience with AI products or engineering productivity tools
• knowledge of developer tooling / engineering analytics / observability / SDLC platforms
• familiarity with land-and-expand motions in large enterprises