Synack’s Penetration Testing as a Service platform manages customers’ attack surfaces by discovering new assets, pentesting for critical vulnerabilities and gaining visibility into the root causes of security risks. We are committed to making the world more secure by harnessing a talented, vetted community of security researchers to deliver continuous penetration testing and vulnerability management, with actionable results. Synacks PTaaS platform has uncovered more than 71,000 exploitable vulnerabilities to date, protecting a growing list of Global 2000 customers and U.S. agencies in a FedRAMP Moderate Authorized environment. For more information, please visit <a href="http://www.synack.com/" target="_blank">www.synack.com</a>. The Director of Product Engineering, with a specialization in AI, is a key leadership role responsible for the strategic direction, development, and execution of AI-powered products and features. This role bridges the gap between product vision and technical execution, and enablement - leading engineering teams to deliver innovative and impactful AI solutions.  Sounds interesting? Keep reading... Here’s what youll do <ul> <li>Define and Drive AI Product Strategy: <ul> <li>Help to develop and execute the vision, strategy, and roadmap for AI-driven initiatives, aligning with overall short and long term business objectives.</li> <li>Have a deep understanding of the market, competitors in order to identify market opportunities and analyze competitive landscapes to inform AI product development and key investment areas.</li> <li>Translate complex AI capabilities and research into user-friendly and valuable solutions.</li> <li>Drives Product Management to define product requirements, prioritize features, and ensure alignment with business goals by measuring performance indicators.</li> <li>Foster a culture of innovation, ownership, engineering excellence, and continuous improvement within the AI engineering organization. Inclusive of driving innovation through the broader organization. </li> </ul> </li> <li>Technical and Architectural Leadership: <ul> <li>Set product direction and guide architectural decisions for AI and machine learning solutions, ensuring scalability, reliability, and security.</li> <li>Drive the technical design and development of AI and machine learning solutions leveraging various technologies (e.g., LLMs, natural language processing, generative AI).</li> <li>Ensure the implementation of continuous integration, continuous delivery, and other modern engineering practices.</li> <li>Identify and implement opportunities for process improvement, optimizing development lifecycles and mitigating technical risks.</li> <li>Ensure ethical AI practices are embedded throughout the development process, addressing concerns like data privacy, bias, and transparency.</li> </ul> </li> <li>Cross-functional Collaboration and Stakeholder Management: <ul> <li>Communicate complex technical concepts and project updates clearly and effectively to both technical and non-technical audiences, including senior leadership.</li> <li>Act as a technical authority in customer engagements, understanding needs and ensuring solutions deliver tangible business impact.</li> </ul> </li> </ul> Here’s what you’ll need <ul> <li>Strong technical background with extensive experience in software development and AI/ML technologies.</li> <li>Proven experience in a leadership role, building and managing engineering teams.</li> <li>Deep understanding of the software development lifecycle (SDLC) and experience with agile methodologies.</li> <li>Expertise in AI/ML fundamentals, including model training, optimization, deployment, and monitoring.</li> <li>Experience with cloud computing platforms (AWS, Azure, or Google Cloud Platform) and modern data ecosystems.</li> <li>Exceptional communication, collaboration, and stakeholder management skills.</li> <li>Strong analytical and problem-solving skills, with a data-driven approach to decision-making.</li> <li>Ability to think strategically and translate business goals into technical solutions. </li> </ul> Nice to Haves <ul> <li>Masters degree or PhD in Computer Science, Engineering, or a related field.</li> <li>Experience with specific AI technologies such as LLMs, natural language processing, or computer vision.</li> <li>Track record of successfully delivering complex AI solutions to enterprise customers.</li> <li>Familiarity with industry trends and advancements in AI/ML. </li> </ul> Ready to join us? Synack is committed to embracing diversity. Our people are our strength.  Each addition to our team is an opportunity to grow and diversify our ideas, experiences, and viewpoints. Synack strives to be inclusive of all people.  As a candidate, Synack cares about your privacy. Please view our candidate privacy policy <a href="https://www.synack.com/candidate-privacy-notice/" target="_blank">here</a>. This position has responsibility to ensure Synack’s security and privacy posture is maintained. $240,000 - $280,000 Salary is determined by a combination of factors including location, level, relevant experience, and skills. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. The compensation package for this position may also include equity, and benefits. For more details about our benefits, please see <a href="https://synack.mybenefits.life" target="_blank">here</a>. Then for the Employer code, enter: synack