Who we are
Founded in 2008, DoubleVerify (DV) is a premier provider of marketing measurement software, data, and analytics. We authenticate the quality and effectiveness of digital media for the world's top brands and media platforms. Our mission is to enhance advertising performance by promoting transparency and accountability in the market. We do it by ensuring ad viewability, brand safety, fraud protection, and 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, and San Diego. Our backend processes over 100 billion events daily, which we analyze and process in real-time. We thrive in a fast-paced environment and are always ready to tackle new challenges. If you are passionate about solving big data challenges and 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 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
- 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 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
- 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)
