Senior Manager - Product Analytics (Individual Contributor)

We are looking for a Senior Manager – Product Analytics (Individual Contributor) to serve as the hands-on Product Analytics Lead for one of our Product Verticals, owning product analytics end-to-end and shaping product strategy through data. This is a senior IC role for an analytics leader who thrives in ambiguity, partners deeply with Product, Engineering, Marketing, and Design, and influences product roadmap decisions with strong analytical rigor. You will work with complex product telemetry, customer behavior, and business data to generate actionable insights that improve customer value and business outcomes, in close collaboration with Sales, Customer Success, and GTM teams. You will also mentor 2–4 product analysts, acting as a subject-matter expert and raising the bar for analytics quality, experimentation, and storytelling across the organization. The Impact You Will Create Shape Product Strategy: You will own end-to-end product analytics for a dedicated vertical, transforming complex product telemetry and customer behavior data into actionable insights that directly dictate the product roadmap. Define the North Star: You will establish, evolve, and own the core metrics and KPIs that align Product, Engineering, Marketing, and GTM teams around customer value and business outcomes. Champion an Experimentation Culture: You will lead rigorous A/B testing initiatives from hypothesis to executive interpretation, embedding a data-driven, experimentation-led culture across all product teams. Elevate the Analytics Standard: Acting as a subject-matter expert, you will mentor 2-4 product analysts and raise the organizational bar for data integrity, advanced statistical analysis, and compelling executive storytelling. Responsibilities  Own end-to-end product analytics for a Product Vertical with high autonomy and ownership  Partner closely with Product Managers, Engineering, and Design leaders to influence product strategy and roadmap decisions  Collaborate with Marketing, Sales, Customer Success, and GTM teams to support growth, adoption, retention, and expansion initiatives through data  Translate ambiguous business and product questions across teams into structured analytical problem statements  Define, evolve, and own north-star metrics and product KPIs aligned to customer and business outcomes  Act as the product analytics owner for instrumentation and telemetry, driving event design, coverage, and data quality  Work with Engineering, TPMs, and Data Engineering to ensure scalable, reliable, and trusted data foundations  Lead A/B testing and experimentation initiatives from hypothesis to analysis and interpretation  Apply statistical techniques (regression, cohort analysis, confidence intervals, causal analysis) to inform decisions  Perform deep-dive analyses on large, complex datasets to uncover root causes and high-impact opportunities  Build and maintain analytics products such as dashboards, frameworks, and self-serve insights for product and business stakeholders  Communicate insights through clear, compelling narratives and executive-ready presentations to senior leadership  Mentor 2–4 junior product analysts, providing guidance on analysis design, experimentation, and storytelling  Champion best practices in analytics, including data integrity, validation, documentation, and reproducibility  Foster a data-driven, experimentation-led culture across product teams Qualifications & Skills Core Experience 10+ years of total experience in analytics or data science, with 5–7+ years of hands-on product analytics experience. Deep domain expertise in B2B SaaS environments is highly preferred. Technical & Data Stack Data Querying & Scripting: Expert proficiency in SQL for managing large, complex datasets, paired with strong hands-on Python skills for exploratory, statistical, and predictive analysis. Data Visualization: P ... (truncated, view full listing at source)