Product Marketing Manager, Ads Measurement

Job description

Develop and continuously track medium to large-scale product marketing campaigns, assets, and external communications designed to drive the global market adoption of the entire Meridian MMM portfolio. Create the authoritative Go-To-Market content kit, including definitive positioning documents, core narrative slide decks, and detailed product directories to clearly differentiate Meridian's distinct deployment tiers. Partner closely with cross-functional teams to evaluate feature improvements, specifically the Scenario Planner, and define the user lifecycle strategy to dramatically increase active product engagement. Manage the execution of highly scaled co-marketing programs with key third-party measurement partners, meticulously coordinating timelines and ensuring strict adherence to brand compliance and overarching messaging strategy. Develop innovative, data-driven insights and thorough market analyses to radically simplify complex causal measurement concepts, enabling advertisers to calibrate their strategic planning and make fundamentally better investment decisions. Minimum Qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in product marketing, partner marketing, or business development within the technology, advertising, or digital media industry. Experience in developing and executing go-to-market plans for B2B technology products or software-as-a-service (SaaS) platforms. Experience with advanced marketing measurement methodologies, including Marketing Mix Modeling (MMM), multi-touch attribution (MTA), and causal incrementality testing. Experience managing cross-functional or cross-team projects. Preferred Qualifications: Experience utilizing AI productivity tools to solve complex, multi-layered problems and streamline business or development workflows. Familiarity with cloud computing infrastructure, enterprise data management platforms, or the mechanics of open-source software developer communities. Ability to analyze/synthesize highly complex technical or econometric data to draw actionable business conclusions, evaluate outcomes, and craft compelling narratives. Organizational accuracy, with the ability to manage engaged priorities, deliver high-quality work autonomously, and proactively identify opportunities to improve operational processes. Excellent communication skills and ability to adapt them to various audiences, from highly technical data scientists to non-technical executive decision-makers.