Responsibilities

• Maintain product roadmaps for a wide array of Performance Marketing tools; drive progress towards goals
• Live and breathe our data – be the subject matter expert and owner for the majority of our performance marketing datasets
• Build and improve data pipelines alongside data engineering
• Conduct high-level product and project management: create and track initiatives, write and approve technical user stories, coordinate efforts between different groups to ensure alignment and delivery
• Collaborate with software and data engineers to execute improvements to existing processes and tools (and innovate by creating new ones)
• Innovate and constantly refine how we communicate data and insights to our team and stakeholders – simplify and expand existing dashboards and solutions to increase use and impact
• Facilitate any work with UX/UI teams on requirements for wireframes and design elements; translate functional requirements to software engineers
• Leverage AI and LLMs to get out of your comfort zone – you will build your own prototypes and tools in collaboration with the broader team

Requirements

• Bachelor’s and/or Master’s degree in a relevant subject area, such as Computer Science or Business Analytics
• 7+ years of related work experience in Data Engineering/Analytics, Ad Tech/Media Analytics, or technical Product Management
• Advanced expertise with SQL
• Experience working with data visualization tools such as Tableau, Looker, or Power BI
• Experience with workflow tracking or project management tools (e.g., Airtable)
• Familiarity with data and software engineering processes and principles; loose knowledge of Python or similar scripting languages
• Knowledge of ad platforms, including Google Ads, Meta, Innovid, and DSPs (Google Display Video, The Trade Desk, Yahoo)
• Ability to manage multiple projects effectively and meet deadlines
• Proven critical thinking and problem-solving skills

Preferred

• Knowledge of digital ad serving, tracking, and implementation
• Experience with Spark and big data processing technologies
• Experience building full-stack applications