Director of Engineering, DoubleVerify
PinAI
$118-235k
+ Bonus, and equity
3 days a week in office
Software platform for digital media measurement and analytics
Open for applications
Software platform for digital media measurement and analytics
1001+ employees
Open for applications
$118-235k
+ Bonus, and equity
3 days a week in office
1001+ employees
Company mission
To build trust and transparency across the digital advertising ecosystem and help advertisers succeed.
Role
Who you are
- 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
- 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 and conversational AI
- Proven track record of delivering AI-powered products from concept to production
- 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)
- 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
- BS/MS in Computer Science, Machine Learning, AI, or related technical field (PhD preferred)
Desirable
- 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 the job involves
- We are seeking an exceptional Director of Engineering 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
- 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
- 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
- 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
- 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
- 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
Our take
The importance of digital advertising continues to grow, but it can be difficult for companies to protect their brand identity online. DoubleVerify solves this problem using software that monitors campaign performance in real-time.
Since it was first launched, DoubleVerify has successfully carved out an impressive market share, and now boasts customers such as digital advertising giant Facebook as long-time customers. Its success is largely owed to the quality of its technology, which far outperforms that of its rivals. DoubleVerify has consolidated its success by expanding the range of languages its tools support. It has also expanded into new markets such as Australia and New Zealand, a key indicator of the company’s continued growth.
The digital ad space is changing constantly, and DoubleVerify will need to remain as agile and adaptive as it is at present in order to compete with rivals such as Tremor and Quantcast. But with a 2021 IPO, several recent rounds of funding and new product releases, it looks set to tackle its competitors head on and stay ahead of the game.
Freddie
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2020
$350m
GROWTH EQUITY VC
Aug 2011
$33m
LATE VC
Total funding: $396.5m
Company benefits
- Comprehensive Coverage: Because we want you to stay healthy.
- Pension Matching: 401(k) or country-specific contributions.
- Tuition Reimbursement: never stop learning.
- Generous Parental & Compassionate Leaves: putting families first.
- Onsite & Virtual Events & Wellness Activities: Team activities, wellness offerings, games and more!
- Flexible Lifestyle Spending Account: Gym, fitness class, self-care, or even pet care? You're covered for this and more.
- Mental Wellness Days: Take a day off for yourself.
- Global Access to Mental Health Resource: Investing in you being your best self.
- Hybrid Work Schedule: Making the most of your time.
- Peer Nominated Awards: Recognizing DV values in action.
- Seasonal Employee Appreciation Gifts: Enjoy summer treats and holiday sweets.
- Self-Directed Paid Time Off: You work hard. Enjoy it.
Company HQ
SoHo, New York, NY
Leadership
Mark Zagorski
(CEO)Mark joined the DOubleVerify team as CEO in 2020,. Prior to this, he was the CEO for Telaria and an Executive VP/Head of Nielsen Marketing Cloud for Nielsen. He also spent 7 years at eXelate as CRO and CEO.
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