About the job
Director of Engineering - PinAI
About Us
DoubleVerify stands as the premier independent provider of marketing measurement software, data analytics, and insights that ensure the quality and effectiveness of digital media for some of the world's largest brands and media platforms. Our commitment to media transparency and accountability empowers companies to achieve the highest impression quality for optimal advertising performance. Since our inception in 2008, we have partnered with numerous Fortune 500 companies, helping them maximize their media expenditures through best-in-class solutions across the digital advertising landscape. Learn more by visiting www.doubleverify.com.
Position Overview
We are looking for a dynamic Director of Engineering to guide our PinAI team, which is a key initiative in conversational AI and agentic systems at DoubleVerify. In this pivotal role, you will lead the creation of an AI-powered conversational interface for Pinnacle, reshaping how our Fortune 500 clients engage with and extract insights from their advertising data.
The PinAI platform utilizes state-of-the-art AI technologies, such as agentic AI architectures, Model Context Protocol (MCP), and advanced large language model capabilities to offer intelligent, context-sensitive analytics through natural language communication. This opportunity is perfect for a forward-thinking technical leader who is passionate about AI innovation, possesses extensive experience in conversational AI systems, and showcases exceptional skills in architecture, engineering, and team leadership.
Location: New York, NY (Hybrid)
Key Responsibilities
Strategic Leadership & Vision
- Define and implement the technical vision and roadmap for PinAI/Pin Chat, ensuring alignment with DoubleVerify’s strategic goals.
- Oversee the design and architecture of agentic AI systems that utilize Model Context Protocol (MCP) for scalable and extensible AI agent frameworks.
- Promote innovation in conversational AI experiences, transforming complex analytics into intuitive, natural language interactions.
- Establish technical standards for AI/ML engineering, incorporating evaluation frameworks, prompt engineering, and model performance enhancements.
- Collaborate with Product, Data Science, and Architecture teams to translate business needs into scalable AI solutions.
Team Leadership & Development
- Build, mentor, and grow a world-class team of AI/ML engineers, software engineers, and technical leads.

