Product Manager - AI-Driven Data Platform

Relativity

Kraków

Hybrid

PLN 216,000 - 324,000

Full time

2 days ago
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Benefits offered by this job

DTO
Parental leave
Equity program

Job summary

Relativity is a leading legal data intelligence company delivering AI-powered solutions for litigation, investigations, regulatory inquiries, and data governance. We are seeking a Product Manager to lead Management Console, shaping long-term direction and AI-driven insights for customers.

You will partner with customers and cross-functional teams to translate needs into clear product decisions, create intuitive dashboards and reports, and drive data-driven strategies across engineering, design,

Qualifications

  • 4+ years in product management at a tech company with B2B SaaS exposure.
  • Experience turning discovery into delivered outcomes with customers.
  • Ability to analyze data and monitor product health and goals.
  • Hands-on with AI tools for research, prototyping, and decision making.
  • Experience with dashboards, reporting, and analytics.

Responsibilities

  • Own the product vision, strategy, roadmap, and success metrics for Management Console.
  • Work directly with customers to understand needs and translate them into decisions.
  • Partner with UX to create intuitive dashboards and visualizations.
  • Use data to guide product decisions and monitor health and success metrics.
  • Collaborate in a triad with engineering and design and align stakeholders.

Skills

Product Management
B2B SaaS
Data analysis
AI tools
UX collaboration
Agile methods
Stakeholder management
Communication

Job description

Relativity is a leading legal data intelligence company delivering AI-powered solutions for litigation, investigations, regulatory inquiries, and data governance. We are seeking a Product Manager to lead Management Console, shaping long-term direction and AI-driven insights for customers.

You will partner with customers and cross-functional teams to translate needs into clear product decisions, create intuitive dashboards and reports, and drive data-driven strategies across engineering, design,

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