Who we are

DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track and analyze tens of billions of ads every day for the biggest brands in the world.
We operate at a massive scale, handling over 100B events per day and over 1M RPS at peak, we process events in real-time at low latencies (ms) and analyze over 2.5M video years every day. We verify that all ads are fraud free, appear next to appropriate content, appear to people in the right geography and measure the viewability and user’s engagement throughout the ad’s lifecycle. 

We are global, with HQ in NYC and R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium and San Diego. We work in a fast-paced environment and have a lot of challenges to solve. If you like to work in a huge scale environment and want to help us build products that have a huge impact on the industry, and the web - then your place is with us. 

What will you do

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

Who you are

• Experience with owning features and product development from conception to launch
• Close collaboration with leading industry vendors.
• 4+ years of combined full time working experience
• 2+ years of  product management experience, in B2B platform or infrastructure products
• Strong analytical skills and critical thinking 
• Hands on SQL experience 
• Organized with rigorous attention to detail, drive for excellence
• A team player with excellent collaboration and communication skills
• 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)