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We are building an AI-first, API-driven loyalty and engagement platform used by some of the largest North American enterprise retailers and B2B clients to drive profitable growth.

The Associate Product Manager operates within a modern, telemetry-driven Product Development Lifecycle (PDLC). This role owns the validation, usability, and adoption of product increments, ensuring that ideas are proven before build and that shipped features deliver measurable value in production.

You will contribute to a modular platform that integrates loyalty, offer management, personalization, and analytics, helping ensure that every release is validated, adopted, and aligned to client value.

Key Responsibilities

1. AI-Augmented Product Discovery & Definition

- Partner with customers, client success, and internal stakeholders to frame problems and lead solution validation before development begins.
- Use AI copilots to synthesize discovery insights, draft structured PRDs, and generate clear user stories and acceptance criteria.
- Define measurable value hypotheses and smallest shippable slices.
- Design and execute validation approaches (e.g., prototypes, workflows, early feedback loops) to confirm usability and value.
- Ensure scope reflects real business impact, not just feature requests.
- Create lightweight workflows, journey maps, and system diagrams to clarify intent.

2. Data-Driven Prioritization & Experimentation

- Analyze usage data, release metrics, customer feedback, configuration data, and adoption trends to identify friction and growth opportunities.
- Define hypotheses and measurable success metrics before development begins. Partner with engineering and analytics to implement A/B tests or phased rollouts where appropriate.
- Own feature-level success metrics including adoption, usability, and outcome realization.
- Monitor post-release performance and drive iteration based on real usage and feedback.

3. AI-Powered Feature Collaboration

- Contribute to the design and refinement of AI-powered capabilities (e.g., recommendation logic, audience scoring, promotion optimization, or agent-driven workflows).
- Validate AI-generated outputs against telemetry and real-world user behavior.




- Ensure AI-enabled features are explainable, measurable, and operationally usable for enterprise clients.
- Define and communicate business-level performance expectations for AI features, and surface user feedback and adoption signals to data science and engineering teams to inform model iteration.
- Ensure AI capabilities are adopted and trusted by end users through measurable usage signals.

4. Execution & Cross-Functional Alignment

- Translate structured requirements into development-ready artifacts.
- Maintain a prioritized backlog with clear sequencing and known dependencies.
- Coordinate across Engineering, Data, QA, UX, Security, and Client Success.
- Ensure every feature includes defined instrumentation and operational monitoring before release.
- Track feature readiness for release based on validation confidence, not just completion of development.
- Support enablement through feature briefs, release notes, demos, and internal documentation.
- Drive early adoption through close collaboration with Client Success and enablement teams.

5. Platform & Architecture Awareness

- Develop sufficient familiarity with the platform’s modular, API-first architecture to write well-scoped requirements and participate productively in technical conversations.
- Understand integration dependencies, data contracts, and schema impacts across services.
- Consider scalability, configurability, and long-term system cohesion in product decisions, not technical judgments.
- Scope new features against established UX patterns and design systems prior to development handoff.

6. Client Engagement (Non-Sales)

- Join enterprise client sessions when deeper product expertise is required.
- Support configuration strategy and structured requirement clarification.




- Gather direct feedback on feature usability and real-world adoption barriers.
- Help ensure releases align with real-world operational workflows.

Qualifications – Education, Skills & Experience

- Post secondary education with a degree in Business Administration. Computer Science or UX Design an asset.
- 3–5 years in Product Management or adjacent roles within B2B SaaS.
- Experience in enterprise software development environments with structured release processes and multiple stakeholders.
- Exposure to marketing technology, loyalty, CRM, personalization, analytics platforms, or offer management is a strong asset.
- Experience working with APIs, data-intensive architectures, or analytics pipelines.
- Excellent cross-functional communication, strong interpersonal and alignment skills.
- Ability to translate ambiguity into crisp, structured product requirements and scope.
- Solid backlog prioritization and scoping discipline.
- Familiar with experimentation frameworks and measurable outcome thinking.
- Comfortable interpreting dashboards, SQL-like outputs, event telemetry, and usage data.
- Experience using AI tools (e.g., generative copilots, AI-assisted documentation, test case generation) in product workflows.
- Basic understanding of AI-powered product capabilities (e.g., predictive scoring, recommendation systems, agent workflows).
- Awareness of AI governance considerations including privacy, explainability, and bias risk.
- Systems thinker with ability to consider impact across the platform.

The hiring salary range for this position is $90,000 – $95,000 CAD per year (base salary).

This range reflects the scope and responsibilities of the role and is aligned with current market benchmarks and internal pay equity.

Placement within the range is determined based on factors such as:

- Relevant skills and experience
- Role-related competencies and qualifications
- This posting is for an existing vacancy.

In accordance with Ontario’s Pay Transparency Act, we disclose that artificial intelligence tools may be used to support parts of the screening and assessment process. All hiring decisions include human review.

Apply on Kit Job: kitjob.ca/job/2fsro6

📌 Associate Product Manager (Toronto)
🏢 Appcast
📍 Toronto