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We are seeking a Senior AI Product Security Engineer to join our innovative team at our company . As our Senior AI Security Engineer, you will lead the development and implementation of security frameworks for our AI systems, combining strategic thinking with hands-on technical expertise. This role presents an outstanding opportunity for a professional who is passionate about AI security and driven to advance the field. Working alongside professionals who share your commitment to excellence, you will be at the forefront of securing our AI products. We value professionals who embrace challenges and demonstrate the ability to quickly adapt to and master new technologies.

Key Responsibilities:

Lead security evaluation and enhancement initiatives across our AI products
Drive innovation through research and implementation of advanced AI security technologies
Conduct comprehensive code reviews, threat modeling, and vulnerability assessments
Design and implement robust security architectures for AI systems
Collaborate with cross functional teams to track security defects and align with them on remediation steps.
Provide technical leadership and mentorship in AI security best practices

We are seeking a hands-on Manager, Software Engineering to lead a full-stack engineering team (Backend, Frontend, and QA) developing a cloud-native cybersecurity SaaS product on AWS.
The role combines technical leadership (around 40% hands-on) with team management, delivery ownership, and agile execution.
The ideal candidate is a seasoned engineer and people leader with deep AWS experience, strong software craftsmanship, and an interest in applying Generative AI (GenAI) to enhance productivity and product intelligence.

Key Responsibilities

Lead, mentor, and grow an Engineering team delivering end-to-end SaaS features from design and development to testing and deployment.
Define and execute the technical roadmap, ensuring scalability, security, and high performance.
Stay hands-on (~40%) with architecture, coding, and code reviews in key components.
Design and maintain backend systems using AWS services
Ensure secure coding practices, IAM least-privilege design, and compliance with AWS security principles.
Drive CI/CD automation, infrastructure as code and modern DevSecOps practices.
Collaborate with Product, UX, and Security teams to define and integrate GenAI-powered capabilities that improve usability, automation, and threat analysis.
Implement and enforce Scrum best practices sprint planning, retrospectives, and delivery tracking.
Foster a high-performance engineering culture emphasizing quality, ownership, and innovation.