Senior Product Manager (User & Lifecycle Analytics)

TL;DR

Senior Product Manager (User & Lifecycle Analytics): Leading the product strategy for user segmentation and lifecycle analytics to help customers understand user behavior and retention with an accent on cohort analysis and predictive intelligence. Focus on building advanced segmentation tools and integrating AI-driven predictions for conversion and churn.

Location: Hybrid (Barcelona Area)

Company

hirify.global is a leading platform for digital experience analytics, helping businesses understand and optimize user behavior.

What you will do

• Define the product strategy, roadmap, and success measures for user segmentation and lifecycle analytics.
• Prioritize customer problems by balancing user value, product quality, technical constraints, and business goals.
• Improve how customers define, manage, compare, and reuse user segments across analyses.
• Develop user-level and retention analysis to help customers identify behavioral changes.
• Collaborate with Data and Applied AI teams to build predictive insights for conversion, retention, and churn.
• Partner with GTM teams (Sales, CS, Marketing) to track adoption and adjust priorities after launch.

Requirements

• 5+ years of product management experience in B2B software or complex data products.
• Expertise in product analytics, customer data, audience platforms, or martech.
• Practical understanding of segmentation, funnels, cohorts, conversion, and retention analysis.
• Technical depth to discuss data quality, semantics, and architectural trade-offs with engineers.
• Strong customer discovery skills using qualitative feedback and product data.
• Must be based in or able to work in a hybrid setup in the Barcelona area.

Nice to have

• Experience with Customer Data Platforms (CDP), personalization, or marketing automation.
• Background in building retention, cohort, or user-level analytics.
• Familiarity with event-based data and high-volume analytical queries.
• Experience developing predictive or machine-learning-assisted product experiences.

Culture & Benefits

• Equal opportunity employer ensuring fair treatment regardless of background.
• Collaborative environment working closely with Engineering, Design, and AI teams.
• Focus on data-driven decision making and rigorous customer research.