Director, Software Engineering, AI

Synack is a company focused on enhancing security through its Penetration Testing as a Service platform. The Director of Software Engineering, specializing in AI, will lead engineering teams in developing AI-powered products and features while driving the strategic direction and ensuring alignment with business goals.

Responsibilities:

• Set technical direction and guide engineering decisions for the delivery of AI-enabled product capabilities, ensuring scalability, reliability, and security
• Establish and refine SDLC processes that accommodate for the fast rate of change of the AI technological landscape without sacrificing the overall delivery quality
• Ensure the implementation of continuous integration, continuous delivery, and other modern engineering practices
• Identify and implement opportunities for process improvement, optimizing development lifecycles and mitigating technical risks
• Drive the prioritization of feature delivery, while ensuring the alignment with business goals through the performance indicators evaluation
• Ensure ethical AI practices are embedded throughout the development process, addressing concerns like data privacy, bias, and transparency
• Champion the culture of collaboration, ownership and engineering excellence throughout the AI engineering organization
• Communicate complex technical concepts and project updates clearly and effectively to both technical and non-technical audiences, including senior leadership
• Act as a technical authority in customer engagements, understanding needs and ensuring solutions deliver tangible business impact
• Collaborate with Product Management to develop the vision, strategy, and roadmap for AI-driven initiatives, aligning with overall short and long term business objectives

Requirements:

• Strong technical background with extensive experience in software development (10+ years) and delivery of production-grade capabilities
• Exceptional software architecture and system design skills
• Proven experience in a leadership role, experience managing multiple teams and managing managers (5+ years)
• Deep understanding of the SDLC and experience with agile methodologies
• Demonstrable ability to define and implement processes that result in positive product delivery outcomes
• Expertise in AI/ML fundamentals, including model training, optimization, deployment, and monitoring
• Experience with cloud computing platforms (AWS, Azure, or Google Cloud Platform) and modern data ecosystems
• Exceptional communication, collaboration, and stakeholder management skills
• Strong analytical and problem-solving skills, with a data-driven approach to decision-making
• Familiarity with industry trends and advancements in AI/ML
• Track record of successfully delivering complex AI solutions to enterprise customers
• Ability to think strategically and translate business goals into technical solutions
• Master's degree or PhD in Computer Science, Engineering, or a related field