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

Apply Now

Head of Sales

BeyondWords
London
6 months ago
Applications closed

Related Jobs

View all jobs

Commercial Sales & Pricing Data Analyst - Global Leader

Commercial Sales & Pricing Data Analyst - Global Leader - 19728

Senior Data Analyst (Finance)

COS Senior Data Analyst (Finance)

Fraud Data Analyst

Senior/Data Engineer

Head of Sales

About BeyondWords

Information shapes us, and at BeyondWords we aim to give people power to explore what matters most to them. 

We’re an AI audio platform building voice cloning, audio generation and distribution tools for modern news publishers.

We’re obsessed with helping publishers of news, research, and insights connect with their audiences, broadening the reach and engagement of their articles. 

Since launching, we’ve made millions of articles listenable, working with some of the world’s leading news publishing brands.

We’re a hybrid team of 9, bridging software, machine learning and language - with a small office next to Piccadilly Circus, London. 

The role

We're looking for a Head of Sales to join our team and drive our next phase of growth. This is a unique opportunity to own the entire sales process, leveraging modern sales tools to maximize your impact.

You'll work directly with the CEO and growth team to identify and capture new opportunities, while collaborating with our Head of Customer Operations to ensure long-term customer success. 

This isn't your traditional sales role - we're looking for someone who can combine strategic thinking with tactical execution, using the latest tech stack to amplify their efforts.

We're looking for someone with the audacity of a honeybadger, who's creative, results-driven and wants to help shape the future of AI audio publishing.

Your mission:

  • Strategic prospecting: Research and qualify potential leads within our target market, building and maintaining a targeted contact list using modern sales intelligence tools
  • Sales execution: Drive the full sales cycle from qualification to close, helping self-serve customers find their ideal pricing while negotiating enterprise contracts with the CEO.
  • Growth engineering: Leverage and optimise modern sales tools to create scalable processes for customer acquisition, implementing automation where it makes sense
  • Strategic partnership: Work closely with our Head of Customer Operations to ensure smooth customer handoffs and identify expansion opportunities
  • Market intelligence: Gather and synthesise prospect feedback, objections, and market trends to help shape our product and go-to-market strategy

Requirements

What we're looking for:

  • You've proven yourself in B2B SaaS sales and are excited about pushing the boundaries of what one person can achieve with modern sales tools
  • You thrive on building relationships - from senior decision makers to internal product teams - translating complex technical benefits into clear customer value
  • You're systematic in your approach, building and optimising processes that scale
  • You have hands-on experience with modern sales tools (Attio, LinkedIn Sales Navigator etc) and are always exploring new ways to enhance your workflow
  • You're equally comfortable diving into data to uncover insights, leading high-stakes presentations, or providing feedback to shape product development
  • You bring an owner's mindset - taking initiative, solving problems, and driving results without needing constant direction
  • You're energised by the intersection of sales and product, using customer insights to influence our roadmap

Benefits

  • £60,000 base (OTE £120,000 uncapped)
  • Equity through stock options
  • 25 days PTO plus public holidays
  • Flexible hybrid working
  • Regular team meetups and social events
  • Joining a fast-moving startup at a pivotal growth stage

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.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.