Director of Engineering, Social Native

• If you have a strong coding background, proven experience in AI implementation, and a product-focused mindset, we want you on our team!
• 8+ years of hands-on software development experience, with recent experience in coding and system design
• 3+ years of experience in a leadership role, preferably in a fast-paced, startup environment
• Proven experience implementing AI/ML solutions in a commercial setting
• Strong understanding of modern web technologies (React, Node.js, GraphQL, Typescript) and cloud infrastructure (AWS, Kubernetes)
• Experience building and managing high-performance engineering teams, balancing strategic leadership with hands-on technical involvement
• A product-minded approach, understanding the intersection of technology, customer needs, and business objectives
• Proficiency in metrics and analytics to drive team performance, productivity, and product quality
• Deep experience with Agile methodologies, fostering a collaborative and iterative development culture
• Bachelor’s degree in Computer Science, Engineering, or related discipline (advanced degree preferred)

Desirable

• We’re looking for a hands-on Director of Engineering who can seamlessly blend strategic vision with tactical execution
• As the Director of Engineering at Social Native, you’ll provide both leadership and hands-on technical expertise to deliver innovative solutions for our multi-platform UGC and AI-powered products
• Reporting directly to the GM, you’ll drive the technical strategy, implement AI solutions, and establish a robust framework to track and measure team productivity
• You’ll collaborate cross-functionally to deliver exceptional customer experiences and improve our operational efficiency
• Lead and manage engineering activities, combining hands-on development with strategic oversight
• Define and implement the technical strategy for Social Native’s UGC and AI initiatives, ensuring alignment with company goals
• Establish an agile and iterative release cadence, focusing on customer experience and product usage metrics
• Develop, track, and optimize engineering productivity and quality metrics, ensuring the team operates at peak performance
• Implement best practices for the Software Development Lifecycle (SDLC), focusing on automation, AI-driven optimizations, and observability
• Partner closely with Product Management, Design, and Customer Success teams to drive product roadmap execution
• Contribute to architecture, design reviews, and hands-on coding when needed to accelerate product delivery
• Evaluate and integrate AI technologies to enhance product capabilities and streamline engineering processes
• Optimize cloud infrastructure operations, ensuring scalability, reliability, and cost efficiency