Senior Engineering Manager - Social

Location: Soho, Manhattan, NYC

Who We Are:

DoubleVerify is a leading software platform for digital media measurement, data & analytics. DVs mission is to be the definitive source of transparency & data-driven insights into the quality & effectiveness of digital advertising for the worlds largest brands, publishers & digital ad platforms. DVs technology platform provides advertisers with consistent & unbiased data & analytics that can be used to optimize the quality & 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 www.doubleverify.com.

Position Overview 

As a Senior Engineering Manager, you will lead the Social Engineering team responsible for  new initiatives, designs & builds deep integrations with the worlds 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 & 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 & develop critical, large-scale distributed services for DoubleVerify's Social products.

• Consistently delivers large complex projects, services, & 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 & has in-depth knowledge of business strategies & DoubleVerifys goals.

• Own major strategic initiatives that consistently & routinely push forward DV Engineering teams 

• Define processes & structures that enable the strong growth & execution of a diverse engineering organization.

• Contributes to architectural decisions with a focus on the product & business needs

• Continuously explore the technical landscape of the Big Data ecosystem through analysis of various frameworks & technologies.

• Provide technical guidance & coaching to engineers through brainstorming sessions, design reviews, & pair-programming

• Interacts internally & 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].

• Attract, interview, hire, & onboard talented engineers & team leaders to build a shared team of Data & Software Engineers in DoubleVerifys Social Integrations team. 

• Continuously optimize SDLC processes, including through the implementation of CI/CD

• Operate production environments, investigate issues, assess their impact, & develop feasible solutions.

• Work in multi-functional agile teams with end-to-end responsibility for product development & delivery

Who are you?

• Lead by example - design, lead, & deliver quality solutions.

• Love what you do & are passionate about building & operating mission-critical data-intensive & distributed systems

• Ability to architect & design complex software systems while adhering to fundamental principles & best practices

• In-depth understanding & hands-on experience of distributed system technologies, standards, & protocols

• Genuine desire to automate decision-making, processes, & workflows

• Experience with following & advocating state-of-the-art SDLC processes

• Fluent in SQL & data analysis, and 

• 9+ years of programming experience using languages such as Python.

• 3+ years of Hands-on experience working in big data systems using BigQuery, Airflow, & building data pipelines at scale.

• 3+ years of experience in leadership roles

• Experience working with DevOps domain - working with build servers, Docker, & container clusters (kubernetes)

• Experience in mentoring & growing a diverse team of talented data engineers

• B.S./M.S. in Computer Science or a related field

• Excellent communication skills & a team player

• 1+ Years of experience in Online Advertising technology (Preferred)

• Expertise in dbt & BigQuery (Preferred)