DoubleVerify

Who We are DoubleVerify is a big data and analytics company. We track and analyze tens of billions of ads every day for the biggest brands in the world like Apple, Nike, AT&T, Disney, Vodafone, and most of the Fortune 500 companies. If you have ever seen an Ad online via a web, mobile, or CTV device, then there are great chances that it was analyzed and measured by us. We operate at a massive scale; our backend handles over 100B+ events per day, we analyze and process those events in real-time while making decisions on the environment where the ad is running and all the user interactions during the Ad display lifecycle. We verify that all Ads are Fraud Free, Brand Safe, in the right Geo and highly likely to be viewed and engaged, all that in less than a fraction of a second. We are global and have R&D centers in Tel Aviv, New York, Helsinki, Ghent, and Paris. We work in a fast-paced environment and face many challenges to solve. If you like to solve big data challenges and want to help us build a better industry, then your place is with us! What You’ll Do The Senior Product Analyst is a key player in the Product department and helps drive data-driven decisions across different product domains. The Senior Product Analyst role includes bridging our data science endeavors with operational excellence, guiding the development of ML/AI technologies that power our classification systems querying and analyzing data, evaluating feature alternatives, designing experiments, and planning and creating dashboards. The individual in this role will work directly with Product Managers to support product decision questions and analyses. This role owns the Classification & Brand Safety analytics domain for Open Web — the content ontology, site/page classification pipelines, and brand-safety suitability metrics that underpin our brand safety product suite. It also carries an explicit mandate to grow the team's analytics engineering maturity and to help design the next generation of AI-assisted / agentic analytics workflows that are replacing purely manual, reactive reporting and support. This role is part of a professional Product Analysis group supporting core products serving advertisers and publishers across the digital landscape. The role requires big data analysis, attention to detail, business understanding, and strong product intuition. Communication skills are incredibly important, as the position interfaces across functions and geographies. Job Responsibilities • Gathering and analyzing large amounts of information to discover & develop compelling, insightful, data-driven recommendations. • Communicating state of business, experiment results, etc. to product, data science and engineering teams. • Defining and monitoring key product metrics & system health, conducting root cause analyses. • Asking business and product-relevant questions and answering them with data. • Gaining a deep understanding of the products and their development processes, determining how to solve everyday issues best, and suggesting new features to solve ongoing issues. • Supporting and extending internal AI-driven recommendation systems for brand safety insights ; building the underlying data foundations, decision matrices, and parameterized SQL libraries that power agentic/conversational reporting tools, and helping identify and mitigate failure modes (e.g., hallucinations and AI Slop) in these agentic flows. • Building, testing, and maintaining analytics-engineering-grade data pipelines. • Leading or supporting high-visibility client escalations and QBRs with the Operations team (e.g., major advertiser recall/precision reviews), translating methodology into clear, defensible findings for external and internal stakeholders. Who You Are • BA/BSc degree. • 5+ years of experience with quantitative analysis. • Extensive hands-on experience with SQL • Hands-on experience with Python (for data manipulation), Excellent understanding of statistics (e.g., hypothesis testing, regression types). • Hands-on experience with, or strong motivation to develop, analytics engineering skills — building and maintaining DBT models (or equivalent), including staging/intermediate/mart layering, tests, and documentation. • Capable of working simultaneously on multiple tasks. • Comfort working with large-scale cloud data warehouses (Databricks, BigQuery, Snowflake) and BI/semantic layers (Looker/LookML). • Working familiarity with AI/LLM-assisted analytics workflows — e.g., using AI coding assistants (Claude Code, Cursor) for query and pipeline development, and a basic understanding of the difference between deterministic metric logic and probabilistic agentic systems, including their failure modes (hallucinations, prompt drift etc.) • Excellent verbal and written communication skills in English. Preferred Qualifications • BA/BSc in a quantitative field: Statistics / Mathematics/ Economics /Computer Science, Physics/ Biology/ Psychology/ Chemistry/ Engineering, or other technical fields. • MA in a quantitative field • Hands-on dbt project experience (models, tests, macros, CI/CD via GitLab) and familiarity with analytics engineering best practices (semantic layer design, gold-table modeling, data quality/QA frameworks). • Experience designing or contributing to agentic/AI-assisted reporting tools (e.g., data contracts for LLM-driven report or recommendation generation, prompt design, retrieval pipelines). • Experience with Git-based version control and CI/CD for analytics code (GitLab CI/CD or similar).

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 You will join a team of experienced engineers and help them in developing our innovative Brand Safty products. You will lead projects by architecting, designing and implementing solutions that will impact the core components of our system. You’ll develop new and awesome features while leveraging cloud native technology stack, do continuous improvements of our development process by adapting new technologies, and using them to solve product and engineering challenges while raising the bar of code quality and standards. Who you are • 5+ years of experience coding in an industry-standard language such as Scala, Java, Rust, Closure, Kotlin, Go etc. • Deep understanding of Computer Science fundamentals: object-oriented design, functional programming, data structures, multi-threading and distributed systems. • Experience with in-memory distributed cache such as Aerospike or Redis and messaging systems such as Apache Kafka, etc. • Experience working with Docker, Kubernetes and designing scalable microservices architecture. • Experience in working with SQL (MySQL, PostgreSQL) and Columnar/NoSQL Databases such as (BigQuery, Vertica, Snowflake, Couchbase, Cassandra, etc.). • Experience working in a BigData environment and building scalable distributed systems with stream processing technologies such as Akka Streams, Kafka Streams/Spark/Flink. • Experience working with cloud providers such as GCP or AWS • BSc in Computer Science or equivalent experience. • Experience with Agile development, CI/CD pipelines (Git ,GitLab or Jenkins) and coding for automated testing. • A versatile developer with a “getting-things-done” attitude. Nice to have • Previous experience with online advertising technologies is a big plus. • Familiarity with the cloud-native computing foundation. #Hybrid