About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Product Manager (Attribution) based in Canada.
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 capabilities.
- Lead product initiatives from ambiguous problem spaces through research, definition, prioritization, development, launch, and ongoing improvement.
- Work closely with complex and sophisticated customers to understand their attribution requirements, measurement approaches, and expectations around assigning marketing credit.
- Build alignment across Data & Analytics, Data Science, Revenue, Product Marketing, Engineering, Design, Quality Assurance, and other teams contributing to attribution and measurement.
- Define clear product specifications that capture user needs, expected feature behavior, success criteria, and technical considerations for delivery teams.
- Translate complex data, identity, and attribution challenges into actionable product decisions and scalable solutions.
- Establish hypotheses, design experiments, evaluate results, and iterate on products based on measurable customer and business outcomes.
- Support internal and external enablement by helping communicate existing and new attribution methodologies and capabilities.
- Drive initiatives through completion while maintaining a high standard of product quality and increasing customer engagement with the platform.
Requirements
- 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.
Conditions
- Canada base salary range of $188,000–$258,500 CAD.
- Potential eligibility for additional compensation, including annual bonuses, commissions, equity awards, and a comprehensive benefits package, depending on the role.
- Remote-first working environment.
- Retirement, 401(k), or pension savings programs, depending on location.
- Competitive paid time off, including birthday leave.
- Comprehensive mental health care support.
- Health benefits available from the first day of employment.
- Work-from-home reimbursement.
- Optional global coworking membership.
- Robust training and onboarding programs.
- Support for professional development, including conferences, courses, and books.
- Access to industry-focused courses and certifications for continuous learning.
- Parental leave programs.
- Social and team events.
- Benefits and perks may vary depending on location and employment arrangement.