AI Product Manager

This is a remote position.

We are looking for a Senior or Principal Product Manager to lead the development of a unified measurement and analytics framework for a portfolio of enterprise-grade AI/ML applications. This high-impact role will play a critical part in enabling data-driven decision-making and driving product excellence across a rapidly expanding AI product ecosystem.

Reporting into a team leading our global AI/ML transformation, you’ll define how success is measured—across user engagement, model outcomes, adoption, and business value. You will work closely with product, engineering, design, data science, and go-to-market teams to instrument metrics that reflect real impact, shape product evolution, and increase transparency into AI performance and value delivery.

Key Responsibilities:

• Define Product Measurement Strategy: Develop and own the cross-product metrics framework to evaluate adoption, usage, performance, and business impact across AI/ML product lines.
  
• Lead Analytics-Driven Product Thinking: Establish KPIs and measurement systems that provide continuous insight into AI product performance, user behavior, and feedback loops.
  
• Drive Alignment Across Teams: Collaborate with product, engineering, UX, and GTM teams to implement metrics instrumentation, ensuring that all AI product initiatives are grounded in measurable outcomes.
  
• Enhance AI Product Transparency: Translate AI outcomes into meaningful product-level insights that help build user trust, support explainability, and elevate decision intelligence.
  
• Support Strategic Scaling: Ensure measurement frameworks are scalable, standardized, and support experimentation (A/B testing, benchmarking) across multiple AI use cases and domains.
  
• Champion Product Quality & Optimization: Partner with leadership to evolve the roadmap based on product metrics, helping refine user experience, technical performance, and business value delivery.
  

Qualifications:

• 10+ years of product management experience, ideally within AI/ML, enterprise SaaS, or data-intensive platforms.
  
• Proven experience defining and operationalizing metrics frameworks, analytics strategies, or evaluation pipelines for digital or AI-driven products.
  
• Strong understanding of design thinking and user-centered design principles as they relate to AI applications and product feedback loops.
  
• Technical familiarity with ML model lifecycle, evaluation methods, and observability tools.
  
• Demonstrated success in leading cross-functional initiatives and driving clarity in matrixed environments.
  
• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. MBA or advanced technical degree is a plus.
  

Preferred Skills:

• Experience working with AI product analytics, experimentation (A/B testing), or telemetry frameworks.
  
• Familiarity with model-level and application-level metrics, including fairness, explainability, latency, and usage.
  
• Ability to distill complex technical data into business-relevant insights and communicate effectively across technical and executive audiences.
  
• Strong product intuition, structured thinking, and a strategic mindset grounded in measurable outcomes.