Staff Product Manager (Attribution)
New
J
JobgetherAdvertising technology
Listing location: US; based in United States; open to candidates located in CanadaFull-TimeStaff
SalaryCanada base salary range of $188,000–$258,500 CAD
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Job Details
- Required Skills
- Product Management
Requirements
- Bring strong product management experience, with ownership of product vision and roadmaps from strategy through delivery.
- Understand advertising attribution and measurement methodologies, including multi-touch attribution (MTA), marketing mix modeling (MMM), incrementality and lift studies, and geo experiments.
- Understand CTV attribution, ABM attribution, retail media measurement, and web analytics attribution.
- Have experience solving product problems involving data pipelines, identity resolution, event-level attribution, and measurement at scale.
- Translate technical constraints into product decisions and explain attribution concepts to technical and non-technical stakeholders.
- Demonstrate a track record of leading cross-functional initiatives and delivering measurable outcomes in ambiguous environments.
- Use hypothesis formation, experimentation, KPI analysis, and iterative decision-making in product development.
- Apply product and design judgment to evaluate user experience, usability, and value.
- Use LLM and AI tools effectively in day-to-day product work and understand when deterministic approaches are preferable.
- Demonstrate ownership, judgment, prioritization, and a bias toward action.
Responsibilities
- Own the vision, strategy, and roadmap for the attribution product portfolio, including click and view-through attribution, channel- and vertical-specific models, and customer-facing reporting and measurement.
- Lead product initiatives from research and definition through prioritization, development, launch, and ongoing improvement.
- Work with customers to understand attribution requirements, measurement approaches, and expectations for assigning marketing credit.
- Build alignment across Data & Analytics, Data Science, Revenue, Product Marketing, Engineering, Design, Quality Assurance, and other teams.
- Define product specifications covering user needs, expected feature behavior, success criteria, and technical considerations.
- Translate data, identity, and attribution challenges into product decisions and scalable solutions.
- Establish hypotheses, design experiments, evaluate results, and iterate based on measurable customer and business outcomes.
- Support internal and external enablement by communicating attribution methodologies and capabilities.
- Drive initiatives to completion while maintaining product quality and increasing customer engagement.
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