Product, Engineering & AI Careers: Building the Future of Cybersecurity
What We Do
Cybersecurity remains critical for organisations protecting increasingly valuable data and digital infrastructure. In a highly competitive market driven by constant innovation, cybersecurity vendors are continuously building, refining and scaling their product offerings.
As a Product, Engineering or AI professional, you sit at the core of every cybersecurity start-up’s success. Your ability to design, build and evolve security software — from early concept through to enterprise-scale adoption — directly influences growth, resilience and customer trust.
At Stanton House, we specialise in connecting talented Product, Engineering and AI professionals with leading cybersecurity organisations across the United States. We partner with high-growth start-ups, scale-ups and established vendors that rely on exceptional technical talent to deliver market-leading products.
Frequently Asked Questions
1. What types of Product, Engineering & AI roles do you recruit for?
We recruit across a wide range of technical roles within cybersecurity vendors, including:
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Product Managers & Product Leaders
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Software Engineers (Backend, Frontend, Full-Stack)
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Platform & Infrastructure Engineers
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Cloud & DevOps Engineers
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Security Engineers embedded within product teams
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AI & Machine Learning Engineers
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Data Scientists & Applied AI Specialists
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Engineering Managers & Technical Leaders
2. How do Product and Engineering roles differ in cybersecurity compared to other SaaS sectors?
Cybersecurity products often operate in complex, high-risk environments. As a result, Product and Engineering roles typically require:
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deeper consideration of security architecture and threat models
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strong emphasis on reliability, performance and resilience
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close collaboration with security research and threat teams
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the ability to balance usability with robust protection
This makes cybersecurity product development both challenging and highly rewarding.
3. Do I need prior cybersecurity experience to work in these roles?
Not always.
Many companies hire engineers and product professionals from adjacent SaaS or infrastructure backgrounds who demonstrate:
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strong engineering fundamentals
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experience building scalable, distributed systems
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curiosity about security concepts
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the ability to learn quickly and adapt
However, prior cybersecurity exposure can accelerate progression into more senior or specialised roles.
4. What skills are most in demand for Product, Engineering & AI professionals?
Demand varies by company stage, but consistently sought-after skills include:
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modern programming languages and frameworks
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cloud-native development (AWS, Azure, GCP)
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DevOps and CI/CD practices
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system design and scalability experience
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applied AI and machine learning for detection, automation or analytics
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strong collaboration between Product, Engineering and GTM teams
5. How do careers typically progress in Product, Engineering & AI within cybersecurity?
Common progression paths include:
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Software Engineer → Senior / Staff Engineer → Principal / Architect
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Product Manager → Senior PM → Director / VP Product
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AI Engineer → Applied ML Lead → Head of AI / Data Science
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Engineering Manager → Director of Engineering → VP Engineering / CTO
Start-up environments often provide accelerated growth due to early ownership and broad responsibility.
6. What is it like working in a cybersecurity start-up or scale-up?
These environments are typically:
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fast-paced and impact-driven
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highly collaborative across Product, Engineering and GTM
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focused on rapid iteration and customer feedback
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demanding but rewarding for individuals who enjoy ownership and autonomy
Many candidates value the opportunity to shape products early and see direct commercial impact.
7. How competitive is the US market for Product, Engineering & AI talent?
The market remains competitive, with employers prioritising candidates who combine strong technical capability with commercial awareness and adaptability.
Compensation varies significantly based on role, seniority, company stage and location, with many start-ups offering a mix of base salary, bonus and equity — particularly for senior technical hires.
8. How can Stanton House support my Product, Engineering & AI career?
We support candidates by providing:
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access to high-growth cybersecurity vendors across the US
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insight into how product and engineering teams are structured
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guidance on positioning your experience for start-up and scale-up roles
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interview preparation tailored to technical and product-led hiring processes
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long-term career partnership as your skills and ambitions evolve