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Sales Executive - Enterprise (UK and EU)

Key Facts

Full time
Senior (5-10 years)
English

Other Skills

  • Communication
  • Teamwork
  • Proactivity
  • Self-Confidence
  • Relationship Building

Roles & Responsibilities

  • 5+ years in enterprise SaaS sales with a track record of meeting or exceeding quota (ACV $150K+)
  • Demonstrable experience selling into data governance, cybersecurity, or AI/ML platforms
  • Proven ability to run complex, multi-threaded enterprise sales cycles (6–18 months)
  • Strong command of value-based and consultative selling methodologies (MEDDIC, Challenger, or equivalent)

Requirements:

  • Own and exceed quarterly and annual ARR targets for a defined territory or vertical
  • Manage the full sales cycle from lead generation to deal closure
  • Build and maintain a healthy pipeline covering 4x your quota
  • Prospect, qualify, and develop new enterprise opportunities through outbound, partner, and inbound channels

Job description

We’re looking for someone ambitious, proactive, and commercially minded, not just waiting for leads, but going out and creating opportunities, managing the full sales cycle, and closing deals in a fast-paced environment. This is a role for someone who wants to make a real impact from day one.

This innovative technology company is on a mission to transform how organisations access, govern, and secure enterprise data in real time. Their platform enables intelligent applications and AI systems to make trusted decisions across complex environments by embedding context, trust, and identity at the point of data use.

Requirements

As an Enterprise Sales Executive, you will be at the forefront of a fast-growing,

category-defining company. You will own the full sales cycle — from pipeline development

through close, targeting enterprise organizations that are grappling with securing their AI

systems, governing sensitive data, and enabling agentic AI at scale.

This is a strategic, consultative sales role. You will engage senior buyers across IT Security,

Identity & Access Management, Data Engineering, and AI/ML teams, helping them understand

Why data trust is the foundational layer every enterprise AI deployment needs.

This role suits someone who acts fast, takes ownership, and is motivated to succeed.

Key Responsibilities

  • Own and exceed quarterly and annual ARR targets for a defined territory or vertical
  • Manage the full sales cycle from lead generation to deal closure
  • Build and maintain a healthy pipeline covering 4x your quota
  • Prospect, qualify, and develop new enterprise opportunities through outbound,partner, and inbound channels
  • Build and maintain strong, trusted relationships with clients
  • Deliver compelling, tailored sales presentations and proposals
  • Maintain accurate pipeline, activity, and forecast data in CRM tools
  • Collaborate with product, customer success, and marketing teams to ensure customer success

What We’re Looking For

  • 5+ years in enterprise SaaS sales, with a track record of meeting or exceeding quota (ACV $150K+)
  • Demonstrable experience selling into one or more of: Data governance/data products, cybersecurity, or AI/ML platforms
  • Proven ability to run complex, multi-threaded enterprise sales cycles (6–18months)
  • Strong command of value-based and consultative selling methodologies (MEDDIC, Challenger, or equivalent)
  • Hungry, results-driven, and proactive,  you don’t wait for leads; you create and chase them
  • Strong commercial instincts and confidence in managing complex sales cycles
  • Excellent communication and presentation skills in virtual and in-person meetings
  • Ability to manage your time effectively while working remotely
  • Familiarity with CRM systems (Salesforce) is a plus
  • Travelling distance into London

Why You’ll Love This Role

  • Opportunity to make a tangible impact in a fast-growing, innovative technology company
  • Exposure to cutting-edge cybersecurity and enterprise data solutions
  • A collaborative environment that rewards initiative, pace, and performance

Domain Knowledge

  • Understanding of agentic AI architectures — how AI agents are built,

deployed, and secured in enterprise environments

  • Awareness of data product principles: data governance, data lineage, trust

scoring, and compliant data delivery

Benefits

  • 21 Annual leave days in year 1, rising to 25 days (plus bank holidays)
  • Additional Day's Leave for your Birthday
  • Ongoing expert training and support
  • External training allowance (monthly)
  • Opportunity for advancement
  • Employee Assistance Programme (Mental Health wellbeing)
  • Daily team meetings
  • Company Sick Pay
  • Great fun, team environment
  • Remote working

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