Senior Product Manager Data Platform and Intelligence
Skills
AmplitudeAnalyticsApiData ArchitectureData EngineeringData GovernanceData PlatformData ProductData WarehouseEvent PipelineExperimentationFeature StoreMetrics StoreMixpanelPersonalizationProduct AnalyticsProduct DecisioningProduct ManagementProduct StrategyRecommendationSemantic LayerSoftware Engineering
About the Role
You will define the vision, strategy, and roadmap for the data platform and Product Intelligence Platform. You will turn raw product and content data into trusted, reusable capabilities, partner with Engineering, Analytics, Data Science, and Content teams, establish shared metrics and governance, and balance long-term platform investments with business priorities.
Requirements
- 7+ years of Product Management experience, including ownership of platform, infrastructure, developer, AI, or data products.
- Understanding of modern data architectures, including event pipelines, data products, warehouses, semantic layers, metrics stores, feature stores, and APIs.
- Experience working with Data Engineering, Analytics, and Software Engineering teams.
- Experience defining product strategy across stakeholders with competing priorities.
- Systems thinking and the ability to identify reusable platform capabilities rather than one-off solutions.
- Communication skills to influence technical and executive audiences.
- Ability to make decisions in ambiguous environments while balancing long-term platform investments with near-term business value.
- Experience with product analytics and experimentation platforms such as Amplitude or Mixpanel.
Responsibilities
- Define the vision and roadmap for the data platform.
- Own the long-term strategy for systems that transform raw product events into trusted, reusable capabilities.
- Develop and prioritize roadmaps for reusable data products, the insights layer, decisioning platform, and data governance and discoverability.
- Define the strategy and roadmap for the Product Intelligence Platform.
- Build platform capabilities that transform raw data into trusted, reusable intelligence.
- Partner with Content teams to develop reusable content intelligence capabilities from metadata, taxonomy, and behavioural signals.
- Partner with Engineering, Analytics, and Data Science to create scalable foundations for personalization, recommendations, and product decisioning.
- Establish trusted metrics, shared data definitions, and governance practices.
- Turn recurring product needs into reusable platform capabilities.
- Balance long-term platform investments with near-term business priorities.
- Influence product and technical strategy across the organization.
Benefits
- Health benefits, including vision and dental coverage.
- Annual health and wellness account.
- RRSP contributions in Canada.
- 401K contributions in the United States.
- Vacation.
- Maternity and parental leave top-up program.
- Corporate gym membership discounts for employees and their families.
- Ability to work from almost anywhere in the world for part of the year.
- Winter break shutdown.
