Senior Product Manager - User and Lifecycle Analytics

Location: Germany; Workplace: Hybrid

Company

hirify.global provides product analytics and lifecycle intelligence solutions for understanding user behavior, conversion, engagement, and retention.

What you will do

• Define the product strategy, roadmap, KPIs, and success measures for user segmentation and lifecycle analytics.
• Prioritize customer problems and make product trade-offs across customer value, quality, technical constraints, and business goals.
• Improve audience definition, filtering, comparison, saving, and reuse across product workflows.
• Develop user-level, cohort, retention, and lifecycle analysis connecting behavioral changes with conversion, engagement, and retention outcomes.
• Explore predictive capabilities including lifecycle classification, engagement scoring, automatic segmentation, and conversion, retention, or churn predictions.
• Collaborate with Engineering, Product Design, Data, Applied AI, identity, platform, and go-to-market teams from discovery through launch and iteration.

Requirements

• 5+ years of product management experience in B2B software or another complex data product.
• Experience owning product strategy, roadmaps, and measurable outcomes.
• Experience in product analytics, customer data, audience platforms, marketing technology, lifecycle or retention products, experimentation, or a related field.
• Practical understanding of segmentation, funnels, cohorts, conversion, engagement, and retention analysis.
• Experience conducting customer discovery and combining qualitative feedback with product data.
• Technical depth to discuss data quality, semantics, performance, APIs, identity, analytics services, and architectural trade-offs with engineers.

Nice to have

• Experience spanning product analytics and marketing technology.
• Experience with audience builders, customer data platforms, personalization, lifecycle marketing, or marketing automation.
• Experience with event-based data, user identity, cross-device behavior, or high-volume analytical queries.
• Experience developing predictive, recommendation, or machine-learning-assisted product experiences.

Culture & Benefits

• Hybrid work arrangement in Germany.
• Collaboration across distributed teams and multiple product and technical domains.
• Equal opportunity employment.
• AI-assisted application screening may be used, while hiring decisions are made by human reviewers.