Product Manager, Measurement Experience

Accountabilities: Lead retailer data integrations: Define the product approach for connecting retailer APIs and data feeds, including ingestion schemas, transformation logic, data quality monitoring, and integration requirements. Build scalable data architecture: Translate retailer-specific data models into normalized formats and establish abstraction layers that simplify future integrations across a multi-tenant platform. Establish data reliability standards: Define data freshness expectations, reconciliation processes, and monitoring tools that identify integration issues before they affect customers. Own reporting infrastructure: Consolidate transaction feeds, impression logs, audience signals, and other data sources into a unified, query-ready reporting layer. Develop reusable dashboards and reports: Define templates, filters, breakdowns, and export formats that address diverse brand and agency needs while minimizing custom engineering work. Improve self-service analytics: Guide dashboard design, visualizations, default settings, and progressive disclosure to support both experienced analysts and less technical users. Translate customer needs into product features: Work with customer success and solutions teams to turn recurring reporting requests and customer pain points into scalable platform capabilities. Manage retailer and client relationships: Lead discussions with external data partners to align on integration approaches, data availability, and delivery timelines. Balance customization with scalability: Establish clear prioritization principles for deciding which requests become standard platform features and which remain customer-specific solutions. Drive execution and delivery: Maintain the product backlog, write actionable tickets, coordinate stakeholders, and deliver improvements that strengthen reporting quality and reduce customer friction. Requirements: Product management experience: 3–6 years of product management experience, with clear ownership of data-intensive products, reporting platforms, or analytics experiences. Relevant industry background: Experience in retail media is preferred; AdTech or MarTech experience is also relevant. Data integration expertise: Demonstrated experience managing multiple data integrations simultaneously while balancing partner-specific needs with a scalable platform roadmap. External partner coordination: Proven ability to align external data partners on integration strategies, requirements, and timelines without directly controlling their engineering resources or roadmaps. Retail media measurement knowledge: Familiarity with measurement frameworks such as closed-loop attribution, return on ad spend (ROAS), and incrementality, as well as the data infrastructure supporting them. Technical data fluency: Working knowledge of schemas, joins, data latency, normalization, and related concepts, with the ability to discuss technical trade-offs confidently with data engineers. Reporting and analytics experience: Experience designing self-service reporting or analytics products for users with varying levels of analytical expertise. Product judgment and prioritization: Ability to distinguish scalable platform investments from one-off requests and make sound decisions across competing customer and partner needs. Execution and ownership: Comfortable working in a startup environment, independently clarifying requirements, writing tickets, following up with stakeholders, and shipping solutions without relying on fully defined briefs. Communication and collaboration: Strong cross-functional communication skills, with the ability to translate customer problems and technical constraints into clear product priorities. Benefits: Competitive compensation: Annual salary range of CA$140,000–CA$170,000. Final compensation may vary depending on experience, skills, budget, and location. Remote-first work environment: Work remotely as part of a distributed team, with Toronto serving as the company's headquarters. Flexible work philosophy: Flexibility to work from an environment that supports your productivity, including a home office or another suitable location. Home office support: Support for setting up and maintaining a productive remote workspace. Annual company retreats: Opportunities to connect and collaborate with colleagues in person. Inclusive workplace: Commitment to equal opportunity, diversity, equity, and inclusion, with reasonable accommodations available during the application process and employment. Hiring process requirement: Candidates reaching the final stages of recruitment must successfully complete a criminal background check.