Interim Senior Product Manager — Offer Intelligence
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About the role
Independent Contractor Senior Product Manager — Offer Intelligence & Data Products Location: Remote Ontario, Canada (Requires meaningful working-hour overlap with Poland-based team; Europe or U.S. East Coast time zones preferred) Engagement Details - Compensation: [Daily/Monthly Professional Fee] - Agreement Type: Independent Contractor (T4A or B2B) - Term: 9-month initial term with potential for extension - Communication: Fluent in English Project Deliverables & Services The Contractor will provide the following professional services: 1. Strategic Briefs & Opportunity Identification - Analyze offer and merchant data to identify high-leverage growth and revenue opportunities. - Produce crisp, data-backed product briefs and prototypes for new B2C/B2B surfaces. - Validate assumptions and define "success metrics" in partnership with internal stakeholders. 2. Offer Intelligence Roadmap Management - Define the roadmap for core platform capabilities (ingestion, interpretation, ranking, and validation). - Identify and implement improvements for data normalization, classification, and freshness. - Balance technical debt with high-velocity platform investments to ensure reliability. 3. End-to-End Initiative Execution - Manage the lifecycle of specific initiatives from discovery through requirements and delivery. - Provide clear technical specifications, user stories, and acceptance criteria. - Facilitate planning and alignment sessions to remove ambiguity and unblock execution. 4. Quality Assurance & Reporting - Define the quality bar for offer intelligence and evaluate launches against pre-defined KPIs. - Provide lightweight but comprehensive documentation for expected behavior and edge cases. Required Professional Expertise - Experience: 5+ years in Product Management within technical domains (APIs, data products, or infrastructure). - Technical Proficiency: Advanced analytical skills (SQL) and a proven track record of shipping complex, cross-functional data products. - AI Integration: Demonstrated experience using AI tools for discovery, prototyping, and analysis with a strong validation discipline. - Execution: A bias toward action and the ability to break down ambiguous systems into actionable, documented plans.
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