Director, Engineering (Nova)

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences. Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies , and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work . With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together! Position Overview: We are seeking a Director of Engineering to lead the Nova organization. Our vision is to establish Nova as the industry’s most trusted intelligence layer, delivering best-in-class agentic experiences that enable marketers to shift from manual execution to autonomous, results-driven innovation. Nova has a dual mandate. The team builds and operates core AI-driven systems, and also enables other engineering teams across the company to develop and ship AI-based features quickly and responsibly. This includes establishing shared foundations, defining architectural patterns, and setting technical standards for applied AI development. This leader will oversee a multidisciplinary organization spanning application development, machine learning engineering, and data science, partnering closely with Product and cross-functional engineering leaders to translate vision into durable, production-grade systems. Also, ensuring every AI-driven action is grounded in high-fidelity context and verifiable customer outcomes. Responsibilities: Lead the Nova engineering organization across AI application development ML systems Set technical direction for AI-powered product capabilities and shared AI infrastructure Drive end-to-end delivery from research and experimentation through productionization and scale Establish reusable platforms, patterns, and foundations that enable other product teams to build AI features efficiently Partner with engineering leaders across the company to support adoption of AI capabilities Ensure high standards for system design, reliability, cost discipline, and operational excellence Collaborate closely with Product to shape roadmap, evaluate feasibility, and sequence investments Balance innovation with platform stability and long-term maintainability Hire, manage, and develop Engineering Managers and senior ICs Foster a culture of ownership, accountability, and technical rigor Qualifications: 10+ years of engineering experience, including significant experience leading managers and scaling multidisciplinary teams. Proven track record of building and operating production AI/ML systems at scale with a focus on Enterprise-Grade reliability. Experience building and operating production AI / ML systems at scale Deep understanding of Context Engineering , including RAG, retrieval-ranking, and evaluation frameworks for grounding AI agents in high-fidelity data. Exper ... (truncated, view full listing at source)