Who we are

Founded in 2008, DoubleVerify (DV) is a premier provider of marketing measurement software, data, & analytics. We authenticate the quality & effectiveness of digital media for the world's top brands & media platforms. Our mission is to enhance advertising performance by promoting transparency & accountability in the market. We do it by ensuring ad viewability, brand safety, fraud protection, & accurate impression delivery. Our solutions have assisted numerous Fortune 500 companies across various sectors in maximizing their media spend value.

We are a global entity with R&D centers in Tel Aviv, New York, Finland, Belgium, & San Diego. Our backend processes over 100 billion events daily, which we analyze & process in real-time. We thrive in a fast-paced environment & are always ready to tackle new challenges. If you are passionate about solving big data challenges & wish to contribute to building a better industry, join us. For more information, visit  https://www.doubleverify.com/.

What will you do

• Lead the discovery, definition, planning  & execution of our vision for DVs data infrastructure. 
• Interface with multiple teams to understand their domain & needs, work closely with the platform team who execute on the vision & infrastructure.
• Lead data Lakehouse & data processing products adoption in DV, plan the integration with their built-in features & define advanced capabilities on top of it. 
• Collaborate with leading industry vendors negotiating scope & timeline.
• Work closely with Legal, Architecture & other teams to form data-related policies, to integrate them into the platform & to drive cross-organization adoption. 
• Partner with the development, data analysis, product & data science teams to identify user personas  & business use cases, translating those to product requirements.
• Setup KPIs to track progress, analyze team effectiveness & ensure that developed solutions are widely adopted by DV engineers, analysts & support teams. 
• Help us rethink how we treat our data, its locality & ownership. 

Who you are 

• 6+ years of combined full time working experience
• 4+ years as a Technical Project Manager in Tech company
• Experience with leading projects from planning to completion
• Experience in data platforms or infrastructure products
• Strong analytical skills & critical thinking 
• Hands on SQL experience 
• Organized with rigorous attention to detail, drive for excellence
• A team player with excellent collaboration & communication skills
• Close collaboration with leading industry vendors.
• Experience in an Agile environment
• Fluent English.
• B.Sc. in CS or any other quantitative field (or equivalent practical experience)

Nice to have

• Experience working with Big data technologies (Databricks, Snowflake, BigQuery, Kafka, Spark) at scale
• Experience working with cloud providers (GCP/AWS/Azure)