DoubleVerify is seeking to deliver scalable, data-driven solutions and represent engineering in strategic conversations to provide transparency and data-driven insights into the quality and effectiveness of digital advertising for the world's largest brands, publishers, and digital ad platforms.
Requirements
- 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.
Responsibilities
- 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.
Other
- 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.
- The estimated salary range for this role based on the qualifications set forth in the job description is between $147,000 - $242,000.
