Senior Manager of Engineering - PinAI
DoubleVerify
| Company | DoubleVerify |
| Category | Engineering |
| Location | NYC Global HQ |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 9 Sept 2024 |
| Last verified | 10 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Who We Are
DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms. DV provides media transparency and accountability to deliver the highest level of impression quality for maximum advertising performance. Since 2008, DV has helped hundreds of Fortune 500 companies gain the most from their media spend by delivering best in class solutions across the digital advertising ecosystem, helping to build a better industry. Learn more at www.doubleverify.com . Location: New York, NY (Hybrid)
Role Overview
We are seeking an exceptional Sr. Manager to lead our PinAI team, DoubleVerify's strategic initiative in conversational AI and agentic systems. In this role, you will spearhead the development of an AI-powered conversational interface for Pinnacle, transforming how our Fortune 500 clients interact with and derive insights from their advertising data.
The PinAI platform leverages cutting-edge AI technologies including agentic AI architectures, Model Context Protocol (MCP), and advanced LLM capabilities to deliver intelligent, context-aware analytics through natural language interactions. This role is ideal for a visionary technical leader who is passionate about AI innovation, has deep experience in conversational AI systems, and possesses exceptional architectural, engineering, and people leadership skills.
What You'll Do
Strategic Leadership & Vision
Define and execute the technical vision and roadmap for PinAI/Pin Chat, aligning AI initiatives with DoubleVerify's strategic objectives
Lead the design and architecture of agentic AI systems that leverage Model Context Protocol (MCP) for scalable, extensible AI agent frameworks
Drive innovation in conversational AI experiences that transform complex analytics into intuitive, natural language interactions
Establish technical standards for AI/ML engineering, including evaluation frameworks, prompt engineering, and model performance optimization
Partner with Product, Data Science, and Architecture teams to translate business requirements into scalable AI solutions
Team Leadership & Development
Build, mentor, and scale a world-class team of AI/ML engineers, software engineers, and technical leads
Attract top-tier talent with expertise in LLMs, agent architectures, conversational AI, and distributed systems
Foster a culture of innovation, experimentation, and continuous learning in AI technologies
Provide hands-on technical guidance through architecture reviews, design discussions, and code reviews
Develop career paths and growth opportunities for team members across AI and engineering disciplines
Technical Excellence & Delivery
Oversee the development of agentic AI systems using frameworks like LangChain, LangGraph, and custom agent architectures
Implement robust evaluation (evals) frameworks to measure and improve AI agent performance, accuracy, and user satisfaction
Design and build conversational AI interfaces that understand context, maintain conversation history, and provide intelligent responses
Architect solutions leveraging MCP (Model Context Protocol) to create modular, reusable AI components and tools
Integrate with Pinnacle's existing analytics infrastructure including Looker, data APIs, and authentication systems
Ensure production-grade quality through comprehensive testing, monitoring, observability, and reliability engineering
Cross-Functional Collaboration
Collaborate with Product Management to define AI-powered features and user experiences
Partner with Data Science teams on model selection, fine-tuning, and prompt optimization strategies
Work with Platform Engineering to ensure scalable infrastructure for LLM deployments and agent orchestration
Engage with Security and Compliance teams to implement responsi