Sales Manager, Revenue Generation - EMEA

Overview

As Head of Sales you will steer a team of Account Executives across UK & EMEA, targeting enterprise deals in the 100k–200k ARR range. You’ll coach, mentor, and optimize performance to hit ambitious growth targets while navigating complex cycles with senior buyer stakeholders. You will partner with Marketing, SDR, and Customer Success to expand opportunities and strengthen the install base. You’ll lead with data-driven insights to tune sales tactics and accelerate pipeline. This is a strategic sales leadership role at a company delivering AI-enabled engineering productivity insights to large enterprises.

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

Responsibilities

• Lead and coach a team of Account Executives across UK & EMEA to close 100k–200k ARR deals
• navigate complex enterprise sales cycles and drive ambitious growth targets
• use sales data and performance metrics to identify and implement improvement actions
• collaborate with Marketing and SDR to generate new pipeline and with Customer Success to surface expansion opportunities
• co-sell with team members through joint calls and aligned activities to develop talent and achieve outcomes

Key requirements

• Enterprise SaaS sales leadership with at least 3 years managing teams closing complex deals in the 100k+ ARR range
• Direct experience selling to software engineering organizations; credible technical conversations with VP Eng and CTO without a solutions engineer
• Executive-level selling experience with CIO, CTO, VP Eng, and CFO buyers
• Hands-on coaching style with active involvement in sales activities and joint-calling
• Data-driven decision making using pipeline and performance metrics
• Exposure to value-based selling and MEDDPICC in multi-stakeholder environments

• analytical mindset
• coaching and people-development orientation
• stakeholder management
• AI products or governance understanding
• engineering productivity measurement
• experience with developer tooling, observability, or SDLC platforms

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