Responsibilities

• 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.

Requirements

• 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

• 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.