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