Sr. Engineering Lead

Location: New York City (Hybrid, 3 days in office, TU-TH) Who We Are: DV is the leader in digital performance solutions, helping our advertiser and agency partners Verify the quality of their digital campaigns, Optimise to improve performance and Prove that they’re achieving their business outcomes, through unbiased 3rd party 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, agencies, publishers, and digital ad platforms. Since 2008, DV has helped hundreds of Fortune 500 companies maximize their media spend by delivering best-in-class solutions across the digital advertising ecosystem, helping build a better industry. Learn more at www.doubleverify.com. Position Overview: As a Sr. Engineering Lead, you will lead the Social Engineering team responsible for new initiatives, designs and builds deep integrations with the world’s biggest social platforms to measure ad performance. You will make technical choices that ensure industry-leading scalability reliability factors on mission-critical systems that process billions of real-time transactions a day. You will lead the team to accomplish ambitious visions and work directly with engineers from the largest internet companies to collaborate on API development. What will you do? Lead a great team of motivated engineers and develop critical, large-scale distributed services for DoubleVerify's Social products. Consistently delivers large complex projects, services, and APIs that scale in an iterative way that frontloads business value Oversee end-to-end integrations with the rapidly increasing list of Social Integration Platforms and has in-depth knowledge of business strategies and DoubleVerify’s goals. Own major strategic initiatives that consistently and routinely push forward DV Engineering teams Define processes and structures that enable the strong growth and execution of a diverse engineering organization. Contributes to architectural decisions with a focus on the product and business needs Continuously explore the technical landscape of the Big Data ecosystem through ana lysis of various frameworks and technologies. Provide technical guidance and coaching to engineers through brainstorming sessions, design reviews, and pair-programming internally and externally with executive-level management, requiring negotiation of highly critical matters. Communicates technical concepts to business stakeholders as well as communicates business objectives to the technical team[s].