Manager, Software Engineering

Posted Yesterday
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10 Locations
In-Office or Remote
288K-432K Annually
Senior level
Legal Tech • Software
Organize data. Discover the truth. Act on it.
The Role
Lead and mentor a software engineering team, drive architecture and adoption of AI- and data-driven practices, design API-first microservices, and contribute hands-on to coding, system integration, and engineering processes. Promote best practices for data platforms (NoSQL/MongoDB), LLM/AI integrations, observability, and Agile delivery while supporting stakeholder strategy and occasional level II support.
Summary Generated by Built In

Posting Type

Remote

Job Overview

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.
At Relativity, engineers do more than write code - they build systems that enable users to uncover insights from complex data at scale using cloud-native architecture, AI, and modern tools.

Job Description and Requirements

ABOUT THE ROLE

We’re looking for a dynamic, technically fluent, and hands-on Engineering Manager to lead a high-performing team of software engineers. This role is pivotal in shaping the future of our product development by mentoring talent, driving architecture decisions, and accelerating adoption of modern technologies, including AI-driven and data-driven development practices.
As a technical leader, you will play a key role in designing and evolving scalable, API-first architectures, leveraging modern data platforms (e.g., MongoDB) and integrating AI capabilities directly into the software development lifecycle and product experience. You will foster a culture of engineering excellence, ownership, and continuous improvement while ensuring our solutions remain competitive, scalable, and impactful.
WHAT YOU’LL DO
  • Lead and mentor a team of software engineers and/or architects across multiple product areas
  • Drive development of existing applications and new platforms, with a strong emphasis on AI-driven and data-driven capabilities
  • Architect and promote API-first, service-oriented systems, ensuring scalability, maintainability, and extensibility
  • Provide hands-on technical contribution in software design, coding, and system integration when needed
  • Guide adoption of modern data technologies, including NoSQL databases (e.g., MongoDB), and ensure effective data modeling, ingestion, and transformation strategies
  • Enable teams to build intelligent, AI-powered features leveraging LLMs and machine learning integrations via APIs
  • Allocate and validate engineering resources based on Scrum team needs and business priorities
  • Ensure best practices in secure, scalable API design and integration patterns (REST, event-driven, and microservices)
  • Conduct regular 1:1s, performance reviews, and career development conversations
  • Promote domain knowledge sharing and technical excellence across the team
  • Provide technical leadership and act as a strategic advisor to business stakeholders
  • Represent direct reports in discussions around career growth, assignments, and opportunities
  • Stay current with industry trends across AI, distributed systems, and data platforms, ensuring continuous innovation
  • Support organizational initiatives, including process improvements, AI adoption, and engineering maturity
  • Occasionally participate in Level II technical support after hours, as needed
WHAT WE’RE LOOKING FOR
Required
  • 5+ years of experience in software engineering, with at least 2 years in a leadership or management role
  • Proven ability to hire, lead, and grow high-performing engineering teams
  • Strong hands-on experience with software development and programming (e.g., Java, Python, or similar)
  • Experience designing and building API-based / microservices architectures
  • Practical experience with NoSQL databases (e.g., MongoDB) and modern data platforms
  • Solid understanding of data-driven development, including data modeling, ingestion, and processing pipelines
  • Experience integrating AI tools (e.g., Copilot, Claude, Cursor) and AI-powered APIs into development workflows and products
  • Experience with SaaS or enterprise-scale distributed systems
  • Strong understanding of system design, scalability, and reliability principles (SLOs, observability, etc.)
  • Excellent communication, collaboration, and organizational skills
  • Experience working in Agile/Scrum environments
Preferred
  • Experience building AI-powered applications or AI-native features (prompt engineering, RAG, LLM integrations)
  • Experience with event-driven architectures and streaming platforms
  • Experience with government-facing applications within FedRAMP compliance
  • Background in legal tech or eDiscovery
  • Exposure to strategic planning and execution at scale
  • Passion for building intuitive, data-informed user experiences

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 between following values:

288 000 and 432 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:

Budget Management, Engineering Management, Innovation, Leadership, Performance Management (PM), Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Stakeholder Management

Skills Required

  • 5+ years of experience in software engineering, with at least 2 years in a leadership or management role
  • Proven ability to hire, lead, and grow high-performing engineering teams
  • Hands-on software development and programming experience (e.g., Java, Python, or similar)
  • Experience designing and building API-based / microservices architectures
  • Practical experience with NoSQL databases (e.g., MongoDB) and modern data platforms
  • Understanding of data-driven development including data modeling, ingestion, and processing pipelines
  • Experience integrating AI tools (e.g., Copilot, Claude, Cursor) and AI-powered APIs into workflows and products
  • Experience with SaaS or enterprise-scale distributed systems
  • Strong understanding of system design, scalability, and reliability principles (SLOs, observability)
  • Excellent communication, collaboration, and organizational skills
  • Experience working in Agile/Scrum environments
  • Budget Management
  • Engineering Management
  • Innovation
  • Leadership
  • Performance Management (PM)
  • Process Improvements
  • Project Management
  • Quality Assurance (QA)
  • Risk Management
  • Stakeholder Management
  • Experience building AI-powered applications or AI-native features (prompt engineering, RAG, LLM integrations)
  • Experience with event-driven architectures and streaming platforms
  • Experience with government-facing applications within FedRAMP compliance
  • Background in legal tech or eDiscovery
  • Exposure to strategic planning and execution at scale
  • Passion for building intuitive, data-informed user experiences

Relativity Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Relativity and has not been reviewed or approved by Relativity.

  • Leave & Time Off Breadth Time off options include discretionary time off and two company‑wide breaks each year, providing additional recharge time.
  • Healthcare Strength Health coverage includes comprehensive medical, dental, and vision plans, telehealth access, and wellness resources such as a Headspace subscription.
  • Parental & Family Support North America offers up to 12 weeks of fully paid parental leave, with comparable regional programs in EMEA and APAC.

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The Company
HQ: Chicago, IL
1,550 Employees
Year Founded: 2001

What We Do

At Relativity, we build innovative and comprehensive tools for making sense of unstructured data. When more people can find the facts in mountains of documents, emails, and texts, more legal and data-centric matters can be resolved equitably. Join us in our mission to help our customers organize data, discover the truth, and act on it. Relativity makes software to help users organize data, discover the truth and act on it. Its SaaS product, RelativityOne, manages large volumes of data and quickly identifies key issues during litigation and internal investigations. Relativity has more than 300,000 users in approximately 40 countries serving thousands of organizations globally primarily in legal, financial services and government sectors, including the U.S. Department of Justice and 198 of the Am Law 200. Relativity does not tolerate racism or discrimination of any kind. We do not accept unfair treatment of any person or group of people. We’re committed to advocating for change to make our world a more inclusive, just place.

Why Work With Us

We believe in our team members and we want to help you own your career as part of a community of values-driven people who help customers around the world solve complex data challenges. At Relativity, you’ll take on challenging work, but you’ll also partner with talented colleagues and pursue plenty of learning and development opportunities.

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