Engineering Manager

About Paladin Tech At Paladin Tech we build AI-powered products that transform complex data into actionable insights Our portfolio includes market-leading solutions for deepfake detection video and image analytics big data intelligence and real-time decision support systems We are on a mission to help organizations enhance security verify authenticity and drive measurable results through the strategic application of cutting-edge AI ML and Big Data Analytics Job Summary As the Engineering Manager for our Full-Stack AI ML teams you will be the technical cornerstone for our innovative product suite We are looking for a leader who not only manages people and projects but also actively drives our technological evolution You will be responsible for guiding a cross-functional team to build scale and maintain our AI-powered platforms DeepGaze Phonetic AI Intellex etc This role requires a strategic thinker who can translate business goals into a technical roadmap foster a culture of excellence and ensure our products consistently maintain a competitive edge by leveraging the latest advancements in technology Requirements Key Responsibilities Team Leadership Development Lead mentor and scale a high-performing team of Full Stack and AI ML engineers Foster a culture of ownership innovation and continuous improvement through coaching and performance management Technical Strategy Architecture Drive the end-to-end technical strategy architecture and execution for multiple AI-driven products Ensure solutions are built for security scalability and cost-efficiency on cloud and hybrid infrastructures Execution Delivery Oversee the entire product development lifecycle using agile methodologies Manage project timelines resource allocation and technical risks to ensure timely and high-quality delivery Technological Innovation Champion innovation by continuously evaluating emerging AI ML full-stack and infrastructure trends Proactively identify opportunities and translate research into actionable strategies to ensure our products remain ahead of the competitive curve Cross-Functional Collaboration Partner closely with product management data science and senior leadership to align on the technical roadmap define product requirements and communicate progress to stakeholders Engineering Excellence Establish and enforce best-in-class engineering practices including rigorous code reviews automated testing and robust CI CD pipelines Talent Acquisition Own the hiring process for your team from sourcing and interviewing to onboarding to attract and retain top-tier engineering talent Core Qualifications 8 years of professional software engineering experience with at least 3 years in a direct people management role responsible for performance reviews mentorship and hiring Proven expertise in architecting and delivering complex systems with a deep understanding of either Full-Stack development or AI ML coupled with strong proficiency in the other Full-Stack Experience with modern frameworks and languages e g RUST Python Node js React Next js and designing microservices architecture AI ML Hands-on experience with the ML lifecycle including data pipelines model training and deploying models especially in computer vision or NLP into production environments Proficiency in designing and managing scalable infrastructure on at least one major cloud platform AWS GCP or Azure including expertise in containerization Docker Kubernetes Demonstrated success in leading agile development teams and managing the full product lifecycle from concept to deployment A strategic mindset with the technical depth to guide architectural decisions perform effective code reviews and unblock your team without being a primary individual contributor Excellent communication problem-solving and stakeholder management skills Preferred Qualifications Direct experience in domains like deepfake detection video image analytics or big data intelligence platforms Exposure to building AI assistants or enterprise-grade decision support tools Background in cybersecurity threat intelligence or other regulated industries Proven success in scaling engineering teams in a fast-paced startup environment