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Who we are
DoubleVerify is an Israeli-founded big data analytics company (Stock: NYSE: DV). We track & 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 & over 1M RPS at peak, we process events in real-time at low latencies (ms) & 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 & measure the viewability & users engagement throughout the ads lifecycle.
We are global, with HQ in NYC & R&D centers in Tel Aviv, New York, Finland, Berlin, Belgium & San Diego. We work in a fast-paced environment & have a lot of challenges to solve. If you like to work in a huge scale environment & want to help us build products that have a huge impact on the industry, & the web - then your place is with us.
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
- Experience with owning features & 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 & critical thinking
- Hands on SQL experience
- Organized with rigorous attention to detail, drive for excellence
- A team player with excellent collaboration & 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)
#Hybrid
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