Technical Product Manager responsible for managing product execution and delivery in AdTech. Leading technical specifications and coordination across engineering and media partners for Environics Analytics.
Responsibilities
Own the product backlog: write, refine and prioritize epics, features, and user stories with technically rigorous acceptance criteria that engineering can build against.
Use AI tools – including large language models and agentic assistants – to accelerate specification writing, research synthesis, documentation and analytical tasks, treating them as core productivity infrastructure, not novelty.
Drive features through the full development cycle – from detailed specification through sprint execution, QA and release – ensuring on-time, on-spec delivery.
Run day-to-day Agile ceremonies (Sprint Planning, Stand-ups, Backlog Grooming, Retrospectives) and remove blockers that slow the team down.
Manage bug triage and technical debt priorities, making clear trade-off recommendations to the VP based on data and delivery impact.
Define and monitor product and platform metrics (match rates, latency, throughput, error rates) to catch issues early and validate that shipped features perform as expected.
Write detailed technical specifications, data flow diagrams and API contracts for platform components including segment resolvers, delivery gateways, identity stream processors and clean room integrations.
Participate in technical design reviews and contribute to architecture decision records.
Requirements
Degree in Computer Science, Engineering, Information Systems, Marketing Technology or a related discipline.
3–5 years in a product management role that required hands-on technical execution within AdTech, media technology, data platforms, or a related data-intensive domain.
Direct experience writing technical specifications, defining API contracts, and working day-to-day with engineering teams through the build cycle.
Demonstrated working knowledge of the media and advertising landscape—including at least two of: programmatic buying, broadcast/CTV, audience segmentation, campaign measurement/attribution, or retail media.
Hands-on familiarity with at least two of: cloud data platforms (Azure, AWS, Snowflake), identity resolution systems (LiveRamp, UID2.0), clean room technologies, or consent management platforms.
Working knowledge of Canadian privacy frameworks (PIPEDA, Law 25) as applied to data products and advertising systems.
Experience with Agile/Scrum delivery in a software product environment.
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