Staff Product Manager (Attribution)

This is a foundational product leadership role focused on building the systems that determine how marketing outcomes are attributed to advertising efforts.
You’ll own the vision and roadmap for an attribution portfolio spanning multiple channels, methodologies, and customer-facing measurement capabilities.
The role combines strategic product ownership with deep collaboration across engineering, data, analytics, revenue, and product marketing teams.
You’ll work directly with sophisticated customers to understand their measurement needs and translate complex attribution challenges into scalable products.
Success will require navigating ambiguity, making data-informed decisions, and delivering high-quality features from concept through completion.
The position offers significant influence over the evolution of attribution and measurement capabilities within a large-scale advertising technology environment.
It is a remote-first opportunity open to candidates located in Canada, with a strong emphasis on autonomy, technical fluency, and cross-functional leadership.

• Strong experience in product management, with demonstrated ownership of product vision and roadmaps from strategy through delivery.
• Deep understanding of advertising attribution and measurement methodologies, including multi-touch attribution (MTA), marketing mix modeling (MMM), incrementality and lift studies, geo experiments, CTV attribution, ABM attribution, retail media measurement, and web analytics attribution.
• Experience solving complex product problems involving data pipelines, identity resolution, event-level attribution, and measurement at scale.
• Ability to translate sophisticated technical constraints into clear product decisions and explain complex attribution concepts to both technical and non-technical stakeholders.
• Strong track record of leading cross-functional initiatives, aligning multiple teams, and delivering measurable outcomes in ambiguous environments.
• Data-driven approach to product development, including hypothesis formation, experimentation, KPI analysis, and iterative decision-making.
• Strong product and design sense, with the ability to evaluate features from the user’s perspective and identify opportunities to improve usability and value.
• Excellent communication and collaboration skills, with the ability to build alignment across technical, commercial, analytical, and creative stakeholders.
• Demonstrated ability to use LLM and AI tools effectively in day-to-day product work, while understanding when AI is appropriate and when deterministic approaches are preferable.
• Strong ownership, judgment, prioritization, and bias toward action.