Senior Product Manager - User and Lifecycle Analytics

We're looking for a Senior Product Manager to help customers understand how different groups of users behave over time: who converts, who comes back, who becomes more engaged, and who may be starting to drop away. You will lead the product strategy for user segmentation and lifecycle analytics. The work sits between product analytics and marketing technology. You will help customers define meaningful audiences, compare their behavior, understand what drives conversion and retention, and use those insights within Contentsquare and third party tools and platforms.

Responsibilities

Set product direction and define product strategy, roadmap, and success measures for user segmentation and lifecycle analytics; Work directly with customers to understand how product, marketing, ecommerce, and customer experience teams analyze user behavior; Use customer research, product data, field feedback, and market evidence to guide priorities; Improve how customers define, manage, compare, and reuse user segments; Help customers move from aggregate trends to cohorts and individual users, compare behavior over time, and identify what contributes to conversion, engagement, and retention; Explore opportunities such as lifecycle stages, engagement scoring, automatic segment suggestions, and predictions related to conversion, retention, or churn; Partner with Data and Applied AI teams to evaluate data readiness, feasibility, accuracy, explainability, cost, and customer trust; Define product KPIs and track adoption, usefulness, quality, performance, and customer value; Build strong relationships with Customer Success, Sales, Product Marketing, and other go-to-market teams

Requirements

5+ years of product management experience in B2B software or another complex data product, with responsibility for strategy, roadmap, and measurable outcomes; Experience in product analytics, customer data, audience platforms, marketing technology, lifecycle and retention products, experimentation, or a closely related area; A practical understanding of segmentation, funnels, cohorts, conversion, engagement, and retention analysis; Strong customer discovery skills and experience using qualitative feedback and product data together to make decisions; Experience working with Engineering and Product Design on products that rely on shared data, APIs, identity, or analytics services; Enough technical depth to discuss data quality, semantics, performance, and architectural trade-offs with engineers; Strong communication and prioritization skills, including the ability to lead across distributed teams without direct authority

Nice to have

Experience spanning both product analytics and marketing technology; Work on audience builders, customer data platforms, personalization, lifecycle marketing, or marketing automation products; Experience building retention, cohort, or user-level analytics; Familiarity with event-based data, user identity, cross-device behavior, or high-volume analytical queries; Experience developing predictive, recommendation, or machine-learning-assisted product experiences

Benefits

Career development, mentorship, social events, philanthropic activities, and competitive benefits; Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year; Work flexibility: hybrid and remote work policies; Generous paid time-off policy (every location is different); Lifestyle allowance; A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work; Every full-time employee receives stock options, allowing them to share in the company’s success; Multiple Employee Resource Groups that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for issues close to their hearts; More benefits tailored to each country