Senior Product Manager - Activation

Madhive•New York, NY

39d•$145,000 - $170,000•Hybrid

About The Position

Madhive is the leading independent and fully customizable operating system built to help local media professionals build profitable, differentiated, and efficient businesses. Madhive empowers sales teams to extend their reach into streaming and connects local advertisers with the communities they serve. Madhive’s platform provides the unique ability to reach local audiences at national scale, with premium supply partnerships and end-to-end tools for planning, targeting, and measuring full-funnel campaign outcomes. Powering campaigns for over 30,000 small and medium businesses per day, Madhive is driving the evolution of local media. Madhive is currently seeking a Senior Product Manager to join the Activation team. This role will be a key leader for our programmatic optimization products within the Madhive DSP, working cross-functionally to deliver cutting-edge features. The Product Manager will analyze the digital ad ecosystem, collaborating with sales, client success, and product management teams to identify and refine product opportunities that expand the DSP's capabilities and deliver impactful value. Duties will include competitive analyses, gathering market requirements, and roadmap planning for expanding and enhancing the DSP's performance and reliant services. The Product Manager will collaborate with engineering and data science teams to execute against a strategic roadmap, while also assisting with product marketing, pre-sales support, and post-sales training for new feature launches. This is a hybrid role, working 2-3 days a week at Madhive HQ in the Financial District of New York City.

Requirements

5+ years in a product management role with direct experience with digital advertising ideally working directly with DSPs/SSPs
Technical and market expertise with digital media buying and selling, advertising/marketing technology solutions, and corresponding business models within digital advertising
Experience launching and scaling data products or platform features that rely heavily on large-scale data processing and analytics.
Familiarity with foundational concepts in Artificial Intelligence (AI) and Machine Learning (ML), and how they are applied in ad-tech optimization
Outstanding technical, analytical, and problem-solving abilities, along with an ability to collaborate cross-functionally
Experience within an Agile product development environment with an emphasis on continuous improvement.

Nice To Haves

Familiarity with TV/OTT/CTV technology strongly preferred
Hands-on experience working with data science or machine learning engineering teams to define, build, and deploy AI/ML-powered products.
A strong understanding of cloud-based data architectures and tooling
A fast learning curve with the ability to understand our customers’ needs on both a business and technical level.
Great written and spoken communication skills; ability to speak to both business and technical audiences
Highly organized self-starter mentality.

Responsibilities

Be the visible advocate for your products internally and externally.
Work as a part of a highly collaborative cross-functional team to oversee the planning, design, and development of products from initiation decision through release and future iterations.
Conduct in-depth analysis of market trends and competitive offerings in the areas of programmatic optimization, AI-driven solutions, and data-centric advertising technologies to identify new strategic product opportunities.
Establish clear, measurable product success metrics based on campaign performance and efficiency, and iteratively optimize features using a data-informed approach.
Develop product strategy by proactively engaging with internal stakeholders, clients, and key participants across the digital ecosystem.
Lead the integration of advanced AI and Machine Learning models into the DSP to drive next-generation bidding, pacing, and optimization capabilities for maximum client ROI.
Partner closely with the Data Science team to translate advanced models, research, and predictive analytics into actionable product features that enhance bidding and targeting capabilities.
Collaborate with marketing, sales and customer success teams to evangelize the product’s new and existing features and to maintain a tight feedback loop.
Act as a subject matter expert on our DSP in explaining priority and delivery timing to internal and external teams.

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