Own core components of an end‑to‑end campaign lifecycle platform, spanning pre-sales, campaign setup, activation, optimization, measurement, and billing.
Help define a unified product strategy that serves as a shared foundation across CMX products rather than a standalone point solution.
Translate long‑term platform vision into a phased, executable roadmap that balances near‑term delivery with long‑term scalability.
Partner with Product, Engineering, Data Science, and Operations to identify, evaluate, and prioritize AI and agentic use cases across the campaign lifecycle.
Help activate AI‑driven capabilities that improve CMX internal operations, including workflow efficiency, decision support, automation, and campaign execution quality.
Ensure AI capabilities are thoughtfully integrated into the platform roadmap with clear business value, guardrails, and success metrics.
Lead the full product lifecycle from discovery through launch and iteration, including requirements definition, discovery & scoping, and delivery.
Work closely with Engineering and Architecture on platform design decisions, including APIs, data models, and extensibility.
Write clear, outcome‑oriented product requirements that align business goals with technical execution.
Define success metrics across adoption, operational efficiency, and platform performance.
Act as a connective layer across CMX teams, ensuring alignment between campaign platform capabilities and onsite and in store, offsite, self‑service, and future product needs.
Partner with Sales, Operations, and Client Success to ensure the platform improves both internal execution at scale and advertiser experience.
Communicate product strategy, tradeoffs, and progress clearly to senior stakeholders and leadership.
Requirements
5+ years of experience in product management with a strong understanding of end‑to‑end product lifecycle management
2 + years of proven experience delivering complex, cross‑functional products with multiple stakeholder groups ideally spanning platform AdTech, MarTech, or data‑driven systems
Experience building or scaling platforms, shared services, or foundational product layers
Familiarity with campaign workflows, ad tech systems, or retail media ecosystems
Experience evaluating or implementing AI‑driven features, automation, or decision‑support systems
Comfort operating in ambiguous problem spaces and early‑stage platform builds
Experience partnering closely with engineering on technical product decisions
Analytical, structured problem‑solver with a data‑driven approach
Strong written and verbal communication skills, including executive‑level storytelling
Experience in healthcare, retail, or highly regulated environments a plus
Bachelor’s degree in a relevant field or equivalent (HS Diploma and 4 years of experience) required