Director of Engineering - PinAI

Who We Are

DoubleVerify is the leading independent provider of marketing measurement software, data & analytics that authenticates the quality & effectiveness of digital media for the world's largest brands & media platforms. DV provides media transparency & 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.

Role Overview

We are seeking an exceptional Director of Engineering to lead our PinAI team, DoubleVerify's strategic initiative in conversational AI & 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 & derive insights from their advertising data.

The PinAI platform leverages cutting-edge AI technologies including agentic AI architectures, Model Context Protocol (MCP), & 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, & possesses exceptional architectural, engineering, & people leadership skills.

Location: New York, NY (Hybrid)

What You'll Do

Strategic Leadership & Vision

• Define & execute the technical vision & roadmap for PinAI/Pin Chat, aligning AI initiatives with DoubleVerify's strategic objectives
• Lead the design & 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, & model performance optimization
• Partner with Product, Data Science, & Architecture teams to translate business requirements into scalable AI solutions

Team Leadership & Development

• Build, mentor, & scale a world-class team of AI/ML engineers, software engineers, & technical leads
• Attract top-tier talent with expertise in LLMs, agent architectures, conversational AI, & distributed systems
• Foster a culture of innovation, experimentation, & continuous learning in AI technologies
• Provide hands-on technical guidance through architecture reviews, design discussions, & code reviews
• Develop career paths & growth opportunities for team members across AI & engineering disciplines

Technical Excellence & Delivery

• Oversee the development of agentic AI systems using frameworks like LangChain, LangGraph, & custom agent architectures
• Implement robust evaluation (evals) frameworks to measure & improve AI agent performance, accuracy, & user satisfaction
• Design & build conversational AI interfaces that understand context, maintain conversation history, & provide intelligent responses
• Architect solutions leveraging MCP (Model Context Protocol) to create modular, reusable AI components & tools
• Integrate with Pinnacle's existing analytics infrastructure including Looker, data APIs, & authentication systems
• Ensure production-grade quality through comprehensive testing, monitoring, observability, & reliability engineering

Cross-Functional Collaboration

• Collaborate with Product Management to define AI-powered features & user experiences
• Partner with Data Science teams on model selection, fine-tuning, & prompt optimization strategies
• Work with Platform Engineering to ensure scalable infrastructure for LLM deployments & agent orchestration
• Engage with Security & Compliance teams to implement responsible AI practices & data governance
• Coordinate with UX/UI teams to create seamless conversational interfaces

Operational Excellence

• Define & track KPIs for AI system performance, including response accuracy, latency, user satisfaction, & engagement metrics
• Implement MLOps best practices for model deployment, versioning, monitoring, & continuous improvement
• Optimize costs associated with LLM API usage & infrastructure while maintaining quality
• Establish incident response protocols & SLAs for AI-powered features
• Drive continuous improvement through retrospectives, evals analysis, & user feedback loops

Who You Are

Required Qualifications

Experience:

• 10+ years of software engineering experience building production systems at scale
• 5+ years in engineering leadership roles, managing teams of 5-15+ engineers
• Hands-on experience with AI/ML systems, particularly LLMs & conversational AI
• Proven track record of delivering AI-powered products from concept to production

Technical Expertise:

• Agentic AI & LLM Frameworks: Deep expertise in building agentic systems using frameworks like LangChain, LangGraph, AutoGPT, or similar agent architectures
• Model Context Protocol (MCP): Experience with MCP or similar protocols for building modular AI agent components & tool integrations
• Conversational AI: Strong background in designing & implementing conversational AI systems, dialogue management, & natural language understanding
• Evaluation Frameworks: Expertise in building comprehensive evaluation (evals) systems for LLM applications, including accuracy metrics, hallucination detection, & human-in-the-loop feedback
• LLM Technologies: Hands-on experience with major LLM providers (OpenAI, Anthropic, Google, etc.) & open-source models
• Backend Engineering: Proficiency in Python, Java, Scala, or similar languages for building scalable backend systems
• Cloud & Infrastructure: Experience with cloud platforms (GCP, AWS, Azure) & containerization (Kubernetes, Docker)

Leadership & Soft Skills:

• Exceptional ability to architect complex systems while adhering to engineering best practices
• Strong technical communication skills; ability to explain AI concepts to non-technical stakeholders
• Experience building & scaling high-performing, diverse engineering teams
• Proven track record of delivering ambitious projects on time with cross-functional teams
• Strategic thinker with the ability to balance innovation with practical execution
• Strong stakeholder management & influencing skills

Education:

• BS/MS in Computer Science, Machine Learning, AI, or related technical field (PhD preferred)

Preferred Qualifications

• Experience with Prompt Engineering, RAG (Retrieval-Augmented Generation), & fine-tuning techniques
• Familiarity with agent evaluation tools like DeepEval, LangSmith, Weights & Biases, or custom eval frameworks
• Knowledge of responsible AI practices, bias mitigation, & AI safety
• Experience in AdTech, Analytics, or Business Intelligence domains
• Contributions to open-source AI projects or published research in AI/ML
• Experience with modern frontend frameworks (React, Angular) for AI interfaces
• Familiarity with Looker, Snowflake, or similar analytics platforms
• Track record of innovation & patents in AI/ML space

What We Offer

• Opportunity to lead a cutting-edge AI initiative at a publicly-traded, industry-leading company
• Work with Fortune 500 clients on transformative AI solutions
• Collaborative, innovative culture with a focus on continuous learning
• Competitive compensation including base salary, bonus, & equity
• Comprehensive benefits package
• Professional development & conference opportunities
• Hybrid work flexibility

Our Values

At DoubleVerify, we live by our core values of Innovation, Collaboration, Excellence, & Integrity. We're looking for a leader who embodies these values & will help our PinAI team deliver world-class AI solutions that transform how clients interact with advertising analytics.

The successful candidates starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, & balancing internal equity relative to peers at DV. The estimated salary range for this role based on the qualifications set forth in the job description is between $118,000.00 - $235,000.00. This role will also be eligible for bonus/commission (as applicable), equity, & benefits. The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, & recognize that the person we hire may be more or less experienced than this job description as posted.

Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women & other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but youre not sure that you check every box, apply anyway!