Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Account Executive EU

CommBox
Liverpool
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist - Healthcare

Machine Learning Engineer II, Marketing Testing

Data Analyst

Product Data Scientist

E-Commerce Data Analyst Hybrid

Data Scientist - Operations Strategy team

CommBox is an Omnichanel and AI-driven CX platform that empowers businesses to deliver seamless, personalized interactions across multiple touchpoints. Leveraging advanced natural language processing and machine learning, CommBox enables intelligent automation, contextual engagement, and real-time analytics to enhance customer satisfaction and drive business outcomes. With its unified platform approach, CommBox helps organizations optimize their customer journeys, boost agent productivity, and stay ahead of evolving customer expectations in the digital-first landscape.

If you’re looking to take part in the revolution of business automation, advance your career and have a great time while doing it – CommBox is the perfect place for you!


Job Overview:

We are seeking a proactive and results-driven Account Executive with 4-5 years of experience in sales to focus on acquiring new customers. In this role, you will be responsible for identifying and pursuing new business opportunities, building a strong pipeline, and closing deals. Your ability to connect with potential clients and partners and effectively communicate the value of our solutions will be key to your success.


Key Responsibilities:

  • Identify and engage with potential customers through various channels indirect through partners and direct, including networking, and referrals.
  • Build a Partner/channel strategy, identify and engage with potential business

partners to enhance market reach and close indirect deals.

  • Build and maintain strong relationships with key decision-makers and

stakeholders within partner and customer organizations.

  • Conduct in-depth market research and analysis to identify emerging trends,

competitor activities, and new growth opportunities.

  • Present and conduct online product demonstrations to our customers and partners, addressing their specific needs and positioning our solutions as the ideal choice.
  • Collaborate closely with cross-functional teams, including presales, marketing,

product and customer support, to ensure customer satisfaction and seamless

project execution.

  • Provide accurate sales forecasts, reports, and market feedback to the

management team.

  • Stay up to date with industry trends, and best practices to continually improve

sales performance and contribute to the company's growth.

  • Reporting to the VP Sales EMEA


Requirements:

  • 4-5 years of experience in sales, preferably with a focus on new business development
  • Proven track record of success as a Senior Sales Executive or similar role in

a cloud/on-prem based contact center, SaaS, Omnichannel communication,

  • Proven ability to consistently meet or exceed sales targets and drive revenue

growth.

  • Exceptional communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels.
  • Strong business acumen and strategic thinking, with the ability to identify and

seize market opportunities.

  • Exceptional problem-solving and decision-making skills, with the ability to

navigate complex sales cycles.

  • Proactive, self-motivated, and results-driven with a strong work ethic.
  • Ability to work independently and collaboratively in a fast-paced, team-

oriented environment.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.