remoteonsite
Senior Manager, AI Engineering - HackerOne
Software Engineer
Lead AI engineering initiatives to build agentic security solutions, overseeing model development, cloud deployment, and integration with vulnerability management platforms while guiding a multidisciplinary team.
About the role
Key Responsibilities
- Define and execute the AI engineering roadmap for security‑focused products, including agentic pentesting, AI red‑team simulations, and code‑security analytics.
- Architect, develop, and scale machine‑learning pipelines and models that detect, prioritize, and remediate vulnerabilities across code, cloud, and AI environments.
- Collaborate with product, research, and security operations teams to translate threat intelligence into actionable AI capabilities.
- Lead, mentor, and grow a high‑performing engineering team, fostering best practices in model governance, testing, and continuous delivery.
- Ensure robust, secure, and compliant deployment of AI services on cloud platforms (AWS, GCP, Azure) and monitor performance at production scale.
Requirements
- 5+ years of hands‑on experience building and deploying machine‑learning systems in production, preferably in security or threat‑intelligence domains.
- Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit‑learn.
- Deep understanding of cloud infrastructure (AWS, GCP, Azure) and experience designing scalable, fault‑tolerant services.
- Proven track record leading technical teams, driving architectural decisions, and delivering complex AI products.
- Knowledge of application security, vulnerability assessment, and modern DevSecOps practices.
Skills
machine learningpython