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.

Responsibilities

Lead product strategy for user segmentation and lifecycle analytics; Set product direction: define product strategy, roadmap, and success measures; Decide which customer problems to prioritize, balancing customer value, product quality, technical constraints, and business goals; Make clear trade-offs about what the team will and will not build; Communicate product choices to executives, partner teams, and customer-facing teams; 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; Follow developments in product analytics, customer data, and marketing technology; Partner with Design and Engineering to test ideas; Improve how customers define, manage, compare, and reuse user segments; Help customers move from aggregate trends to cohorts and individual users; Investigate opportunities such as lifecycle classification, engagement scoring, automatic segmentation, and predictions; Work with Engineering and Product Design from problem definition through launch and iteration; 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

Virtual onboarding; Hackathon; Opportunities to interact with team and global colleagues both on and offsite; Work flexibility: hybrid and remote work policies; Generous paid time-off policy; Lifestyle allowance; Culture Crew activities; Stock options for full-time employees; Employee Resource Groups; Career development; Mentorship; Social events; Philanthropic activities; Competitive benefits