Senior Manager of Engineering - PinAI

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 responsible AI practices and data governance

Coordinate with UX/UI teams to create seamless conversational interfaces

Operational Excellence

Define and track KPIs for AI system performance, including response accuracy, latency, user satisfaction, and engagement metrics

Implement MLOps best practices for model deployment, versioning, monitoring, and continuous improvement

Optimize costs associated with LLM API usage and infrastructure while maintaining quality

Establish incident response protocols and SLAs for AI-powered features

Drive continuous improvement through retrospectives, evals analysis, and user feedback loops

Who You Are

Required Qualifications

Experience:

10+ years of software engineering experience building production systems at scale

3+ years in engineering leadership roles, managing teams of 5-10+ engineers

Hands-on experience with AI/ML systems, particularly LLMs and 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 and tool integrations

Conversational AI: Strong background in designing and implementing conversational AI systems, dialogue management, and natural language understanding

Evaluation Frameworks: Expertise in building comprehensive evaluation (evals) systems for LLM applications, including accuracy metrics, hallucination detection, and human-in-the-loop feedback

LLM Technologies: Hands-on experience with major LLM providers (OpenAI, Anthropic, Google, etc.) and 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) and 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 and 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 and 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), and fine-tuning techniques

Familiarity with agent evaluation tools like DeepEval, LangSmith, Weights & Biases, or custom eval frameworks

Knowledge of responsible AI practices, bias mitigation, and 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 and 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, and equity

Comprehensive benefits package

Professional development and conference opportunities

Hybrid work flexibility

Our Values

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

The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and 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 $153,000 - $260,000 This role will also be eligible for bonus/commission (as applicable), equity, and 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, and 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 and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!