Head of Business Development

Humanoid
1 year ago
Applications closed

Related Jobs

View all jobs

Head of Data Science

Claims Data Scientist

Head of DevOps and DataOps

Head of Analytics & Data Science

Head of Machine Learning (Recommendations, AI Stylist & Search)

Western Europe Practice Head - Data Science (Machine Learning/Artificial Intelligence (ML/AI)

AtHumanoidwe strive to create the world's leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity.


In a world where artificial intelligence opens up new horizons, our faith in its potential unveils a new outlook where, together, humans and machines build a new future filled with knowledge, inspiration, and incredible discoveries.

The development of a functional humanoid robot underpins an era of abundance and well-being where poverty will disappear, and people will be able to choose what they want to do. We believe that providing a universal basic income will eventually be a true evolution of our civilization.


As the demands on our built environment rise, labour shortages loom. With the world’s workforce increasingly moving away from undesirable tasks, the manufacturing, construction, and logistics industries critical to our daily lives are left exposed.

By deploying our general-purpose humanoid robots in environments deemed hazardous or monotonous, we envision a future where human well-being is safeguarded while closing the gaps in critical global labour needs.


Responsibilities:


- Strategic Planning for Robotics Market: Develop and implement strategic sales, and business development plans.

- Lead Generation and Customer Acquisition in Robotics Sector: Develop and execute lead generation strategies and campaigns tailored to the robotics industry, leveraging channels such as industry conferences, trade shows, digital marketing, and partnerships with robotics integrators, to attract and acquire customers for humanoid robotics solutions.

- Sales Pipeline Management for Robotics Products: Manage the sales pipeline for humanoid robotics products, from lead generation to conversion, including lead qualification, opportunity management, and sales forecasting, to drive revenue growth and meet sales targets in the robotics market.

- Customer Relationship Management for Robotics Clients: Build and maintain strong relationships with robotics customers and key stakeholders, including robotics engineers, researchers, and decision-makers in industries such as **automotive manufacturing, logistics, warehouses and others to** understand their robotics needs and preferences, and drive customer satisfaction and loyalty.

- Business Development Initiatives in Robotics Industry: Identify and pursue new business opportunities in the robotics market, including partnerships, alliances, and expansion into new robotics application areas or geographic markets, to drive revenue growth and diversify the company's robotics solutions portfolio.

- Marketing and Communication for Robotics Solutions: Participate in marketing and communication campaigns tailored to the robotics industry, including content marketing, thought leadership initiatives, and case studies highlighting the benefits and applications of humanoid robotics solutions, to promote brand awareness, generate leads, and drive customer engagement in the robotics market


Expertise:


- Strategic Planning: Experience in developing and implementing strategic marketing, sales, and business development plans tailored to the unique dynamics and opportunities of the humanoid robotics market.

- Market Research and Analysis in Robotics: Strong analytical skills, with the ability to conduct market research and analysis specific to the humanoid robotics industry, and leverage insights to inform strategic decision-making and market entry strategies.

- Lead Generation and Customer Acquisition in Robotics: Proven track record in developing and executing lead generation strategies and campaigns tailored to the robotics industry, and attracting and acquiring customers for humanoid robotics solutions.

- Sales Pipeline Management for Robotics Products: Experience in managing the sales pipeline for robotics products, including lead qualification, opportunity management, and sales forecasting, to drive revenue growth and meet sales targets in the robotics market.

- Customer Relationship Management in Robotics: Strong interpersonal and communication skills, with the ability to build and maintain relationships with robotics customers and stakeholders, and drive customer satisfaction and loyalty in the robotics industry.

- Business Development in Robotics Sector: Experience in identifying and pursuing new business opportunities in the robotics market, including partnerships, alliances, and expansion into new robotics application areas or geographic markets, to drive revenue growth and diversify the company's robotics solutions portfolio.


Benefits:


- High competitive salary.

- 23 calendar days of vacation per year.

- Flexible working hours.

- Opportunity to work on the latest technologies in AI/ML, Robotics and others.

- Startup model, offering a dynamic and innovative work 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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.