Head of Sales

BeyondWords
London
11 months ago
Applications closed

Related Jobs

View all jobs

Head Of Data Science

Head of Data Science

Senior Marketing Data Scientist

MLOps Engineer

Head of Data Science & Strategy

Head of Data Science

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.