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Salary
$79k – $133k per year (Estimated)
Location
In office (Kraków, Katowice, Bydgoszcz, Poland, Warsaw, Łódź)
Seniority
Staff · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Relativity is a legal data intelligence company based in Chicago, Illinois, and founded in 2001. The company develops an AI-powered platform, RelativityOne, which helps legal professionals manage and analyze large volumes of complex data for e-discovery, litigation, and internal investigations. It serves a global client base including law firms, government agencies, and corporations, operating through a vast ecosystem of service providers and technology partners.

Posting Type

Remote Poland

Job Overview

WHO WE ARE

Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.

The world’s largest law firms, corporations, and government agencies rely on Relativity’s legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we are committed to expanding access to technology and supporting pro bono legal work.

WHAT WE DO

At Relativity, engineers do more than write code. They harness AI tools to architect, optimize, and deliver scalable software faster while shaping the future of legal technology. Engineers help industries uncover critical insights, ensure compliance, advance access to justice, and continuously evolve our platform using cloud-native architectures, AI capabilities, and modern developer tooling. Our AI helps power privacy programs, identify confidential information, and detect language indicating misconduct.

If you're passionate about solving hard problems, designing for scale, and building tools that matter while working in a culture that values transparency, innovation, and shared success, Relativity offers the opportunity to make a measurable difference in the marketplace

Job Description and Requirements

WHAT YOU’LL DO

  • Drive the design of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly, owning architecture and implementation while influencing execution across engineering.

  • Resolve complex, cross-organizational technical problems through deep technical expertise, collaboration, and hands-on implementation.

  • Provide technical direction across frontend, backend, and data layers, collaborating with teams, peers, and principal engineers on system design and architecture.

  • Collaborate closely with teams to solve complex technical and business problems and build AI-powered legal data solutions that operate at massive scale.

  • Drive engineering standards across multiple teams, including performance, scalability, reliability, and security, through design and code reviews, patterns, best practices, documented standards, and coaching.

  • Align technical execution with product strategy and delivery commitments, identifying and removing technical and operational friction.

  • Mentor senior and lead engineers, shaping technical decision-making and technical culture.

  • Insert 2-3 team- or role-specific responsibilities if applicable.

WHAT WE’RE LOOKING FOR

Required

  • 10+ years of experience designing, building, and operating complex cloud-native distributed systems.

  • Demonstrated technical leadership across multiple teams or domains.

  • Strong background in architecture, security, and reliability at scale.

  • Ability to define technical direction and drive cross-team alignment.

  • Experience translating business goals into technical strategy.

  • Proven ability to influence without formal authority.

  • Strong mentorship and technical communication skills.

  • Insert 1-2 team- or role-specific requirements if applicable.

Preferred

  • Experience shaping data platforms or UI standards.

  • Experience working in global or highly distributed organizations.

  • Track record of driving organization-wide technical improvements.

  • Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code.

  • Experience in regulated or large-scale environments.

  • Insert up to 3 team- or role-specific preferred qualifications if applicable.

WHY WE COULD BE A GREAT FIT

Impactful Mission

  • Build systems that help customers organize data, discover the truth, and act on it in high-stakes legal matters.

Engineering at Scale

  • Work on distributed, cloud-native systems that process large volumes of data.

Cutting-Edge Technology

  • Build with AI, cloud platforms, and scalable architectures shaping legal tech.

Growth and Ownership

  • Gain experience owning systems end-to-end across cloud and distributed environments.

Collaborative Culture

  • Work in a team focused on knowledge sharing and continuous improvement.

Inclusive Environment

  • Diverse perspectives create stronger teams and better outcomes.

Compensation and Benefits

  • Competitive salary, benefits, DTO, parental leave, and equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is betweenfollowing values:

340 000 and 510 000PLN

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Algorithms, Automation, Debugging, Distributed Systems, Performance Tuning, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership
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