Director of Engineering, Programmatic & Partner Products

Director of Engineering, Programmatic & Partner Products

Who We Are

DoubleVerify is a leading software platform for digital media measurement, data and analytics. DV's mission is to be the definitive source of transparency and data-driven insights into the quality and effectiveness of digital advertising for the world's largest brands, publishers, and digital ad platforms. DV's technology platform provides advertisers with consistent and unbiased data and analytics that can be used to optimize the quality and return on their digital ad investments. 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 ;br>
Responsibilities include:

• Develop and lead the technical and strategic vision for the Programmatic Engineering team and its solutions.
• Be a senior engineering voice in cross-functional planning with Product, Commercial, Data Analytics, and Executive teams - helping shape business strategy through a deep understanding of the technical landscape and market dynamics.
• Represent engineering externally, articulating the roadmap, technical approach, and platform strengths to technical and non-technical stakeholders.
• Build and mentor a high-performing, multi-disciplinary team, fostering a culture of ownership, accountability, and innovation.
• Drive operational excellence and scalability.
• Lead architectural/design choices for event stream processing, prediction engines, data delivery APIs, and reporting infrastructure.
• Promote engineering rigor: best practices in design, testing, observability, documentation, and operational maturity throughout the development lifecycle.
• Act as a thought partner to senior leadership, offering a strategic engineering perspective in roadmap discussions, investment planning, and technical due diligence.
• Scale the team's scope and impact, identifying new ownership areas and evolving platform capabilities to meet emerging business needs.

Qualifications include:

• 10+ years of engineering experience, leading the delivery of large-scale data platforms, distributed systems, or ML-enabled products.
• 5+ years in engineering leadership, with experience managing managers or overseeing multi-team organizations.
• Proven ability to own and scale complex technical domains, particularly in data ingestion, analytics, and predictive systems.
• Comfortable representing engineering in executive and customer-facing settings, communicating architecture, delivery, and strategic trade-offs with clarity and confidence.
• Strong architectural judgment and fluency in modern data/backend systems; able to guide design discussions and partner effectively with senior technical leaders.
• Demonstrated ability to lead cross-functional initiatives in collaboration with Product, Data Analytics, and Commercial teams.
• A strategic, execution-oriented mindset, capable of influencing senior stakeholders and aligning engineering outcomes with business goals.
• Familiarity with ad tech and the programmatic advertising ecosystem is a plus.

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 $147,000 - $292,000. This role will also be eligible for boncommission (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!