Staff AI Product Analyst, Product Management

Accountabilities: In this role, you will lead the definition, measurement, and optimization of product success metrics for AI-powered experiences while enabling data-driven decision-making across product teams.

Define and evolve KPIs for AI-driven products, including adoption, engagement, retention, quality, and user outcomes

Partner cross-functionally with Product, Engineering, and Design to establish measurement frameworks and product success criteria

Design, implement, and interpret experiments (including A/B testing) to evaluate AI feature performance and product impact

Improve product instrumentation and data quality to ensure reliable analytics for AI workflows and user behavior tracking

Develop and maintain dbt models in collaboration with analytics engineering to transform and validate product data

Build dashboards and reporting frameworks to support product roadmap planning and executive decision-making

Influence product analytics standards and best practices across teams in a scaling, global organization

Translate complex data insights into clear recommendations that shape product strategy and roadmap direction

Contribute to long-term product analytics vision, balancing immediate needs with scalable data foundations

Requirements:

This role requires strong analytical expertise, deep technical skills in product analytics, and the ability to partner effectively across product and engineering teams in a highly technical environment.

5+ years of experience in product analytics, data science, or product-focused analytics roles

Strong SQL skills with the ability to write complex, efficient queries for large-scale datasets

Experience defining and tracking success metrics for complex products, ideally including AI or data-intensive features

Hands-on experience with data visualization tools such as Looker, Tableau, Hex, or similar platforms

Experience building dbt models and working within modern data stacks

Familiarity with product analytics tools (e.g., Amplitude, Pendo, Heap, FullStory)

Experience partnering closely with product and engineering teams in a fast-paced environment

Strong understanding of experimentation frameworks, including A/B testing and statistical evaluation

Excellent communication skills, with the ability to translate technical analysis into actionable business insights

Experience using AI-assisted tools to accelerate analysis, modeling, or development workflows is a strong plus

Familiarity with observability concepts or ETL orchestration tools (e.g., Airflow, Prefect) is a plus

Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, or equivalent experience)

Benefits:

Competitive compensation aligned with experience and Canadian market benchmarks

Equity participation and potential performance-based bonuses

Fully remote work environment with global collaboration flexibility

Generous paid time off, including company-wide shutdown periods

Comprehensive health, dental, and wellness benefits

Professional development support and learning opportunities

High-impact role working on cutting-edge AI and observability products

Inclusive, transparent, and open-source-driven engineering and product culture.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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