Staff AI Product Analyst, Product Management [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Product Analyst, Product Management based in United States .

This role sits at the intersection of product analytics, AI innovation, and large-scale observability platforms, supporting the development of next-generation AI-powered product experiences. You will play a key role in defining how success is measured across AI-driven workflows, ensuring that product decisions are grounded in reliable data, clear metrics, and rigorous experimentation. Working closely with Product, Engineering, Design, and Data teams, you will shape KPIs, improve instrumentation, and guide experiment design for complex AI features. The environment is highly collaborative, fast-moving, and deeply technical, with a strong emphasis on open-source values, transparency, and autonomy. You will directly influence how AI capabilities are understood, evaluated, and improved across core product areas. This is a high-impact role where your insights will shape product strategy and user experience at scale. You will help define the analytical foundation for the future of AI-powered observability products.

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!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.