As a Product Manager, Measurement Experience, you will own the end-to-end design and delivery of Vantage's measurement and reporting surface. You will define how campaign performance data flows from retailer data pipes through our platform and into the hands of brand and agency teams, surfaced through a unified dashboard and a library of reusable, configurable reports. This role is not about building attribution models from scratch. It is about integrating with the attribution and measurement frameworks retailers already have, consolidating data from multiple sources into a clean, consistent reporting layer, and building a platform architecture flexible enough to adapt to every retailer's model, today and in the future.
Responsibilities
Own the product definition for connecting Vantage to retailer data pipes, from API and data feed evaluation through ingestion schema design, transformation logic, and data quality monitoring; Translate each retailer's data model into a normalized format that serves the broader platform, with an abstraction layer that makes every new integration easier than the last; Establish data freshness standards and reconciliation processes, and own the tooling that surfaces health issues before clients notice them; Define how data from disparate retailer sources (transaction feeds, impression logs, audience signals) is consolidated into a unified, query-ready reporting layer; Own the reusable report and dashboard framework, including templates, filters, breakdowns, and export formats; Work toward a system where launching a new retailer integration automatically lights up the standard reporting suite; Drive the UI and dashboard experience that brand media teams rely on week-to-week; Define the right defaults, visualizations, and progressive disclosure for mixed-sophistication users; Partner with CS and solutions teams to convert recurring reporting requests into platform features rather than one-off exports; Serve as the product lead in retailer data conversations, aligning on integration approach, data availability, and timeline; Balance customization requests across multiple retailer relationships, applying a clear framework for what gets built into the platform versus what stays a one-off; Translate client reporting pain points gathered through CS into the product backlog and ship them before they become churn risks
Requirements
3–6 years in product management with clear ownership of data-intensive or reporting products; Preferably in retail media, but AdTech or MarTech is acceptable; Experience managing multiple data integrations simultaneously, balancing customization requests against a scalable, multi-tenant platform roadmap; Track record of aligning external data partners on integration approach and timeline without controlling their roadmap or engineering backlog; Familiarity with retail media measurement frameworks (closed-loop attribution, ROAS, incrementality) and the data infrastructure that underpins them; Enough fluency in data concepts (schemas, joins, latency, data normalization) to hold a real technical conversation with a data engineer about trade-offs; Experience building self-serve reporting or analytics experiences for mixed-sophistication audiences; Comfortable driving execution in a startup environment: writing your own tickets, chasing your own answers, and shipping without waiting for a perfect brief
Benefits
Remote-friendly setup; Home office support; Annual company retreats
Kanada · Toronto
