This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Operations Manager based in United States. This role serves as the analytical and operational engine behind how product outcomes are defined, measured, and understood across the organization. You will help build and evolve a product metrics program from the ground up, connecting product inputs to outcomes across retention, revenue, customer health, and engagement. The position combines product analytics, statistical modeling, operational strategy, and data enablement to turn complex information into actionable business decisions. You will conduct deep-dive analyses, shape product priorities and OKRs, and communicate insights to product and executive leadership. You will also develop dashboards, self-service tools, and reporting standards that make product data accessible across teams. Working closely with Product, Engineering, and Data teams, you will help establish reliable tracking, governance, and scalable analytics practices in a SaaS environment. Accountabilities: - Partner with product leadership to design and evolve a comprehensive product metrics program, defining what should be measured, why it matters, and how metrics connect to business outcomes. - Build and maintain multi-variable outcome models that connect product inputs with retention, revenue, customer health, engagement, and other key business results. - Apply statistical techniques such as regression, correlation analysis, and predictive modeling to validate metric definitions and strengthen the reliability of the metrics framework. - Develop frameworks, taxonomies, and standards that make product metrics consistent, trustworthy, and actionable across product and leadership teams. - Conduct proactive, in-depth analyses to identify customer behavior trends, product usage patterns, friction points, and opportunities to improve revenue and customer outcomes. - Translate analytical findings into clear recommendations that influence product prioritization, roadmap decisions, and OKRs.
- Develop compelling data narratives for executive reviews, board presentations, product planning, and strategic decision-making. - Manage an independent analytical backlog, identifying priorities, coordinating with stakeholders, and communicating findings and implications. - Create dashboards, templates, and toolkits that enable product managers and cross-functional teams to self-serve product insights. - Train stakeholders on interpreting and applying product data to support better business and product decisions. - Standardize reporting practices across product teams to improve consistency, clarity, and accessibility. - Partner with Engineering and Data teams to establish event tracking, taxonomy standards, and data governance practices. - Ensure product data is accurate, complete, and consistent across analytics workflows and decision-making processes. - Build and maintain core product metrics, dashboards, and self-service data models using tools such as Looker, Pendo, Mixpanel, and Redshift. - Leverage AI tools to synthesize information, accelerate analysis, and scale analytical workflows. Requirements: - 5–8+ years of experience in Product Operations, Product Analytics, Business Intelligence, or a related analytical role. - Strong foundation in statistical methods, including regression, correlation analysis, and predictive modeling. - Experience contributing to or working within analytics or metrics programs, with the ability to help build and evolve a program rather than simply operate within an established framework. - Demonstrated ability to translate complex data into actionable recommendations that influence product and business decisions. - Experience working with SaaS or platform products is strongly preferred.
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