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

Apply Now

Head of Sales

BeyondWords
London
9 months ago
Applications closed

Related Jobs

View all jobs

Head Of Data Science

Head of Data Science

Head of Data Science Technology (Product, Engineering, Design) · London ·

Hands-on Head of Data Science - FinTech Growth

Head of Data (Senior Data Scientist)

Head of Data Engineering

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.

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.