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Full-Time

Internal Communications Specialist

Posted on 7/21/2024

Wayve

Wayve

201-500 employees

Develops autonomous vehicle technology using AI

Robotics & Automation
Hardware
AI & Machine Learning

Mid

London, UK

Category
PR & Communications
Growth & Marketing
Required Skills
Marketing
Video Editing
Requirements
  • Proven experience in internal communications, corporate communications, or marketing (preferably in tech or science-driven organisations)
  • Highly motivated, creative, and thrives in fast-paced environments
  • Strong writing and verbal communication skills
  • Good foundational knowledge and experience managing communication channels
  • Demonstrated ability to introduce creative ideas for employee engagement and culture-building
  • Technically proficient in basic graphic design and video editing software/tools
  • Passionate about innovation, AI, and contributing to the field of artificial intelligence and autonomous vehicles
Responsibilities
  • Develop and execute internal communication plans for consistent and clear messaging
  • Write, design, edit, and distribute internal communications (newsletters, emails, updates, presentations)
  • Collaborate with Marketing Director, VP of People, and senior management on key messages
  • Manage multiple communication projects simultaneously
  • Oversee internal communication channels for prompt and consistent information sharing
  • Organise and coordinate events to foster engagement and knowledge-sharing
  • Measure the effectiveness of internal communications and make data-driven recommendations
  • Provide communications support and assist in message alignment for various departments
  • Stay informed of industry trends in AI and autonomous vehicles and internal communication best practices

Wayve.ai develops self-driving technology known as AV2.0, which focuses on creating smarter and safer autonomous vehicles. Their technology uses embodied AI software that allows vehicles to learn from their experiences and adapt to different environments without needing detailed programming. This method is different from traditional self-driving technologies that often rely on expensive hardware and pre-mapped data. Instead, Wayve.ai employs end-to-end deep learning, making their solution more cost-effective for automakers. The company targets automakers and fleet operators, offering them adaptable and affordable solutions for driving automation. Wayve.ai aims to enhance mobility by partnering with companies like Ocado Group and Asda to test their technology in real-world delivery scenarios.

Company Stage

Series C

Total Funding

$1.3B

Headquarters

London, United Kingdom

Founded

2017

Growth & Insights
Headcount

6 month growth

28%

1 year growth

39%

2 year growth

83%
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Simplify's Take

What believers are saying

  • Wayve.ai's recent $1.05 billion funding round underscores strong investor confidence and provides substantial capital for further innovation and expansion.
  • The launch of PRISM-1, a 4D reconstruction model, enhances the testing and training of their autonomous driving technology, potentially accelerating development timelines.
  • Partnerships with major retailers and fleet operators offer significant opportunities for real-world testing and rapid deployment of their technology.

What critics are saying

  • The autonomous vehicle sector is highly competitive, with major players like Tesla and Nvidia investing heavily in similar technologies, which could impact Wayve.ai's market share.
  • The reliance on end-to-end deep learning and embodied AI, while innovative, may face challenges in regulatory approval and public acceptance.

What makes Wayve unique

  • Wayve.ai's use of embodied AI software allows vehicles to learn and adapt from experience, eliminating the need for costly HD maps and human-engineered systems, unlike traditional autonomous vehicle technologies.
  • Their end-to-end deep learning approach reduces the reliance on expensive robotic stacks, making their solution more cost-effective for automakers.
  • Wayve.ai's partnerships with leading UK retailers like Ocado Group and Asda for trialing their technology in delivery fleets demonstrate their practical, real-world application and scalability.
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