Job Opportunities API

SonicWall  is a cybersecurity forerunner with more than 30 years of expertise and is recognized as a leading partner-first company, ensuring our partners and their customers are never alone in the fight against cybercrime. With the ability to build, scale and manage security across the cloud, hybrid and traditional environments in real-time, SonicWall provides relentless security against the most evasive cyberattacks across endless exposure points for increasingly remote, mobile and cloud-enabled users. With its own threat research center, SonicWall can quickly and economically provide purpose-built security solutions to enable any organization—enterprise, government agencies and SMBs—around the world. For more information, visit  www.sonicwall.com  or follow us on  Twitter ,  LinkedIn ,  Facebook  and  Instagram . Senior Director - Data & AI Engineering Role Overview We are looking for a hands-on, product-minded Senior Director of Data & AI Engineering to lead our newly formed, elite Data & AI team. In this role, you will lead a highly specialized team comprising data and AI/ML architects. You are the bridge between deep technical innovation and product delivery. You will not only manage and guide these world-class engineers, but you will also remain actively hands-on—writing code, architecting solutions, and directly collaborating with Product Management, UX, and Core Security Platform teams to transform complex telemetry (logs, configs, alerts) into shipped, high-value AI features.   Key Responsibilities 1. Technical Leadership & People Management Lead an Elite Team: Manage, mentor, and align with a highly senior team of architects. You must possess the deep technical credibility to lead peers of this caliber. Keep a "Player-Coach" Mindset: Remain actively hands-on. You will contribute to architecture design, write code where needed, perform high-level reviews, and unblock complex technical bottlenecks alongside your team. Cultivate a High-Performance Culture: Foster an environment of rapid experimentation, continuous learning, and rigorous engineering standards, balancing cutting-edge AI research with disciplined production deployment. 2. Cross-Functional Product Development & Strategy Translate Tech into Product: Partner closely with Product Management to define the AI roadmap, translating complex engineering breakthroughs into clear, highly valuable customer features. Bridge the Gap with Core Security Teams: Collaborate with our core security researchers and platform engineers to seamlessly integrate our data and AI runtime pipelines into the broader product ecosystem. Design User-Centric AI Experiences: Work with UX designers to ensure AI-driven recommendations, summaries, and analyses are intuitive, actionable, and seamlessly woven into user workflows. 3. Execution & Delivery Own the Release Cycle: Drive the agile execution and delivery of Data and AI-powered product features from ideation to production. Balance Speed vs. Guardrails: Establish the processes required to ship fast while ensuring the data security, compliance, and strict model guardrails necessary in a cybersecurity product. Manage Stakeholders: Communicate technical concepts, timelines, and business impacts clearly to executive leadership, customers, and cross-functional teams. Required Experience & Skills Experience: 8+ years of engineering leadership experience, with at least 3+ years managing high-performing data, machine learning, or platform engineering teams. Hands-on Technical Background: A strong technical foundation in software architecture, distributed data systems, or machine learning (ideally with modern generative AI and LLM orchestration). You should still feel comfortable looking at code and diving deep into technical design docs. Product D