Director, Product Engineering, AI

Synack, Inc.

full-time

Posted on: 9/18/2025

Origin: • 🇺🇸 United States

✨ AI Apply

💰 $240,000 - $280,000 per year

Lead

AWSAzureCloudGoogle Cloud PlatformSDLC

About the role

Develop and execute the vision, strategy, and roadmap for AI-driven initiatives, aligning with business objectives.
Analyze market and competitive landscapes to identify AI product opportunities and investment areas.
Translate complex AI capabilities and research into user-friendly and valuable solutions.
Drive Product Management to define requirements, prioritize features, and measure performance indicators.
Foster a culture of innovation, ownership, engineering excellence, and continuous improvement.
Guide architectural decisions for AI/ML solutions ensuring scalability, reliability, and security.
Drive technical design and development of AI/ML solutions leveraging technologies like LLMs, NLP, generative AI.
Ensure implementation of CI/CD and modern engineering practices; optimize development lifecycles and mitigate technical risks.
Embed ethical AI practices addressing data privacy, bias, and transparency throughout development.
Communicate technical concepts and project updates to technical and non-technical audiences, including senior leadership.
Act as a technical authority in customer engagements to ensure solutions deliver tangible business impact.

Strong technical background with extensive experience in software development and AI/ML technologies.
Proven experience in a leadership role, building and managing engineering teams.
Deep understanding of the software development lifecycle (SDLC) and experience with agile methodologies.
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.
Ability to think strategically and translate business goals into technical solutions.
Master’s degree or PhD in Computer Science, Engineering, or a related field. (Nice to have)
Experience with specific AI technologies such as LLMs, natural language processing, or computer vision. (Nice to have)
Track record of successfully delivering complex AI solutions to enterprise customers. (Nice to have)
Familiarity with industry trends and advancements in AI/ML. (Nice to have)