2 дня назад
Staff AI Product Analyst (Product Management)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI Product Analyst (Product Management): Defining and optimizing success metrics for AI-powered observability products with an accent on data-driven decision-making and experimentation. Focus on building analytical frameworks, improving instrumentation, and translating complex data into actionable product strategy.
Location: Must be based in Canada
Company
is an AI-powered platform facilitating objective and fair candidate matching for global roles.
What you will do
- Define and evolve KPIs for AI-driven products including engagement, retention, and user outcomes.
- Partner with Product, Engineering, and Design to establish robust measurement frameworks.
- Design, implement, and interpret A/B tests to evaluate AI feature performance.
- Improve product instrumentation and data quality for reliable analytics.
- Develop and maintain dbt models to transform and validate product data.
- Build dashboards to support roadmap planning and executive decision-making.
Requirements
- Must be based in Canada
- 5+ years of experience in product analytics, data science, or product-focused analytics.
- Strong SQL skills for querying large-scale datasets.
- Experience defining success metrics for complex or AI-intensive products.
- Hands-on experience with data visualization tools like Looker or Tableau.
- Experience building dbt models and working within modern data stacks.
- Strong understanding of experimentation frameworks and statistical evaluation.
Nice to have
- Experience using AI-assisted tools to accelerate analysis or modeling.
- Familiarity with observability concepts or ETL orchestration tools like Airflow.
Culture & Benefits
- Competitive compensation aligned with Canadian market benchmarks.
- Equity participation and performance-based bonuses.
- Fully remote work environment.
- Comprehensive health, dental, and wellness benefits.
- Generous paid time off with company-wide shutdown periods.
- Inclusive, transparent, and open-source-driven engineering culture.
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