Recruiting from ScratchRemote
Founding Engineer
United States
Full-time
6 days ago
$150,000 - $200,000 USD
No H1B
Key skills
Software engineering experienceBackendfull-stack languageSystem designCybersecurity experienceAI/ML experienceModern tech stacksPublic portfolioHands-on with LLMscommunication skillsTypeScriptGoSQLAIMLNext.jsAWSPostgresGitHubCloudflareSaaSCommunication
About this role
Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. They are representing an early-stage cybersecurity startup that is rethinking how organizations train for real-world security threats by using AI to build adaptive security programs. The Founding Engineer will have end-to-end ownership across product and infrastructure, helping to define what gets built and how.
Responsibilities:
- Architect and own adaptive phishing simulation systems that evolve based on user behavior, risk, and role
- Build backend infrastructure to ingest, process, and analyze real-time behavioral signals and telemetry
- Design and implement interfaces that help security teams understand and act on human risk data
- Work directly with early customers to gather feedback and rapidly iterate on product features
- Make foundational technical decisions, including tooling, architecture, and engineering patterns
- Ship clean, scalable, well-documented code across the full stack
- Use AI tools to increase development velocity and focus on high-impact problems
Requirements:
- 5+ years of professional software engineering experience or equivalent hands-on experience
- Strong computer science fundamentals, including system design and data structures
- Proficiency in at least one core backend or full-stack language such as Go or TypeScript
- Proven track record of shipping products, features, or personal projects end-to-end
- Comfortable owning systems and making architectural decisions
- Strong written and verbal communication skills with a bias toward transparency
- Genuine enthusiasm for building and iterating quickly in an early-stage environment
- Experience in cybersecurity, enterprise SaaS, or AI/ML-adjacent products
- Familiarity with modern stacks such as Go, TypeScript, Next.js, Postgres/SQL, AWS, or Cloudflare
- Public portfolio demonstrating how you think and build (GitHub, blog, or personal projects)
- Hands-on experience with LLMs or AI-assisted development tools