**Job Specification - Head of AI Program Analysis
Location: UK
Type: Full time, permanent
Reports To: CEO **
At RevEng.AI, we're redefining the future of binary program analysis with
cutting-edge AI. As a fast-growing cybersecurity startup, our mission is to
build AI that deeply understands computer software at the binary level,
transforming the way security professionals and engineers tackle complex
challenges.
By combining static and dynamic program analysis with state-of-the-art machine
learning, we develop powerful AI-driven solutions that help our customers:
* Reverse engineer binaries with greater speed and accuracy.
* Identify vulnerabilities before they can be exploited.
* Automate exploit generation for red teaming and security research.
* Enhance software supply chain security through advanced analysis.
* Detect and analyse malware at an unprecedented scale.
At RevEng.AI, you'll be part of a team pushing the boundaries of AI,
cybersecurity, and reverse engineering—building game-changing technology that
secures the digital world.
* _What We Offer *_
At RevEng.AI, we believe in rewarding our team with competitive benefits,
meaningful work, and a great culture. Here’s what you can expect when you join
us:
* Comprehensive benefits including top-tier private healthcare.
* Equity in a high-growth AI cybersecurity startup, backed by leading tech investors.
* The opportunity to work on groundbreaking AI-driven cybersecurity projects tackling real-world security threats.
* A collaborative and inclusive culture that fosters creativity and innovation.
* Professional growth through training, conferences, and career development.
* Flexible and hybrid working as standard—work in a way that suits you.
* Weekly team lunches to catch up, share ideas, and unwind.
* A vibrant office space in the heart of London, with regular social events.
* An extra day off on your birthday!
* _The Role *_
We are looking for a Head of AI Program Analysis to lead and scale our machine
learning and binary analysis teams, driving research and innovation at the
intersection of AI and cybersecurity.
This is a high-impact, strategic, and hands-on leadership role, where you will
be responsible for defining and executing the technical roadmap, mentoring a
team of world-class engineers and researchers, and delivering cutting-edge
solutions that enhance our cybersecurity capabilities.
You will work closely with engineering to integrate machine learning and
binary analysis into real-world applications, tackling some of the most
complex challenges in threat detection, malware analysis, and AI-driven
security.
This role is ideal for someone with deep expertise in cybersecurity, machine
learning, and binary analysis, along with experience leading teams in a
startup or scale-up environment.
**Key Responsibilities**
* _Leadership & Team Growth *_
* Lead, mentor, and scale the machine learning and binary analysis teams, ensuring technical excellence and alignment with business objectives.
* Define hiring needs and team structure, ensuring we attract and retain top-tier talent.
* Foster a high-performance engineering and research culture, with a focus on innovation, security, and scalability.
* _Technical Strategy & Research *_
* Define and execute the technical strategy for applying machine learning and binary analysis to cybersecurity challenges.
* Drive research and development efforts to enhance capabilities in malware detection, reverse engineering, and AI-driven security.
* Develop new AI techniques for exploit detection, adversarial resilience, and automated binary analysis.
* Ensure best practices in model development, evaluation, deployment, and security.
* _Industry Engagement & Thought Leadership *_
* Represent the company at cybersecurity and AI conferences (e.g., Black Hat, DEF CON)
* Contribute to academic research, patents, and open-source security projects.
* Engage with government, regulatory, and enterprise security teams to shape industry best practices.
**Security, Compliance & Operational Readiness**
* Implement secure software development practices for machine learning and binary analysis workflows.
* Ensure AI models comply with cybersecurity regulations, risk frameworks, and industry standards.
* Address concerns around bias, fairness, and explainability in AI-driven security solutions.
**Key Metrics for Success (First 6–12 Months)**
In the first six to twelve months, success in this role will be measured by:
* Building and structuring the team, ensuring the right skills and expertise are in place.
* Developing and deploying new machine learning models or binary analysis techniques that significantly improve product capabilities.
* Defining a clear technical strategy roadmap, aligning research and engineering efforts with business objectives.
* Contributing to at least one industry publication, patent, or open-source initiative in AI-driven cybersecurity.
* Establishing best practices for scalable, secure AI deployment in cybersecurity applications.
* _Required Experience & Skills *_
* Strong background in machine learning, binary analysis, and cybersecurity.
* Experience leading and managing technical teams, ideally within a startup or scale-up environment.
* Deep understanding of malware analysis, reverse engineering, and AI applications in cybersecurity.
* Proficiency in relevant programming languages such as Python, C, or Rust.
* Experience with ML frameworks (TensorFlow, PyTorch) and cybersecurity tools (e.g. IDA Pro, Ghidra)
* Knowledge of secure software development practices and adversarial machine learning risks.
* Strong communication and leadership skills, with the ability to influence technical and non-technical stakeholders.
* Experience working in a fast-paced, high-growth environment.
* _Desirable Experience *_
* PhD or advanced research experience in machine learning, cybersecurity, or a related field.
* Prior experience in threat intelligence or penetration testing.
* Familiarity with cloud-based AI infrastructure and secure model deployment.
* _Technical Challenges You Will Tackle *_
This role will involve solving some of the hardest challenges in AI-driven
cybersecurity, including:
Developing AI models that detect zero-day exploits and advanced malware.
Optimising binary analysis techniques for large-scale, real-time security
applications.
Building adversarially robust AI models that defend against attacks on machine
learning systems.
Enhancing AI-powered reverse engineering techniques to automate malware
analysis.
* _Career Progression & Future Growth *_
* As the company scales, this role has the potential to evolve into:
* VP of AI & Security Research, leading multiple research and engineering teams.
* Chief AI Officer, overseeing AI strategy across all product lines.
* Senior advisory roles in government or enterprise cybersecurity, as an industry leader in AI-driven security.