Application Guide

How to Apply for Leader of Generative AI – Certified Software

at Beta Technologies

🏢 About Beta Technologies

Beta Technologies is pioneering a sustainable electric transport ecosystem with advanced vertical aircraft and extensive charging infrastructure. Unlike typical tech companies, they operate in the highly regulated aerospace sector where safety and certification are paramount. Working here means contributing to cutting-edge aviation technology while addressing climate change through electrification.

About This Role

This role leads the enterprise generative AI strategy specifically focused on DO-178C software development and certification artifacts for aerospace applications. You'll be responsible for identifying high-value AI use cases across engineering, manufacturing, and flight operations while ensuring solutions meet aerospace-grade reliability standards. This position directly impacts BETA's ability to accelerate aircraft certification while maintaining the strict safety requirements of the aviation industry.

💡 A Day in the Life

A typical day involves collaborating with engineering teams on AI-generated certification artifacts, reviewing AI model outputs against DO-178C requirements, and meeting with compliance officers to ensure solutions meet aviation standards. You might also be designing new generative AI workflows for manufacturing optimization or leading your team in developing safety-critical AI tooling for flight operations.

🎯 Who Beta Technologies Is Looking For

  • 10+ years in software/data/AI product development with 3+ years leading AI initiatives in regulated industries (aerospace, automotive, medical devices preferred)
  • Proven experience deploying generative AI solutions in production environments, particularly with LLMs, RAG, agents, and MLOps for complex workflows
  • Deep understanding of DO-178C certification processes and experience translating AI capabilities into certified software artifacts
  • Strong track record of leading cross-functional teams through AI transformation in safety-critical environments

📝 Tips for Applying to Beta Technologies

1

Highlight specific experience with DO-178C or similar aviation/automotive certification standards in your resume - this is the primary use case mentioned

2

Quantify your experience with generative AI deployment in regulated environments (e.g., 'reduced certification documentation time by X% using AI-generated artifacts')

3

Demonstrate understanding of BETA's specific challenges by mentioning their ALIA aircraft or charging infrastructure in your application materials

4

Show how you've balanced innovation with compliance in previous roles, as this role requires both cutting-edge AI and strict regulatory adherence

5

Include examples of building AI platforms that scale while maintaining safety controls, as this is explicitly mentioned in the job description

✉️ What to Emphasize in Your Cover Letter

['Your experience with generative AI in regulated industries, specifically mentioning DO-178C or similar certification frameworks', 'Examples of leading AI initiatives that delivered measurable ROI and productivity gains in complex organizations', "How you've partnered with compliance, legal, and security teams to deploy AI solutions that meet strict industry standards", 'Your vision for applying generative AI to aerospace software development and certification challenges']

Generate Cover Letter →

🔍 Research Before Applying

To stand out, make sure you've researched:

  • BETA's ALIA electric vertical aircraft and their specific certification timeline/challenges
  • DO-178C certification standards and how they apply to aviation software development
  • BETA's charging infrastructure network and how AI could optimize its operations
  • Recent news about BETA's partnerships, funding rounds, or regulatory milestones

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you approach generating DO-178C certification artifacts using generative AI while ensuring compliance and traceability?
2 Describe your experience building MLOps pipelines for regulated environments - what controls and safeguards did you implement?
3 How would you identify and prioritize generative AI use cases across BETA's engineering, manufacturing, and flight operations?
4 What strategies have you used to drive AI literacy and adoption in organizations resistant to change?
5 How do you balance innovation speed with the rigorous safety requirements of the aerospace industry?
Practice Interview Questions →

⚠️ Common Mistakes to Avoid

  • Focusing only on consumer AI applications without demonstrating understanding of regulated industry requirements
  • Presenting generic AI experience without specific examples of production deployment in complex environments
  • Neglecting to address safety and compliance aspects in your application materials or interviews

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Beta Technologies!