Relativity

• Design and develop partner enablement courses, learning journeys, and go-to-market content • Create and maintain partner-facing content across key platforms • Develop, maintain, and enhance go-to-market enablement resources • Manage the Partner Portal asset library • Plan and execute enablement content development for partner onboarding programs • Ensure consistency, accuracy, and governance across all partner-facing content • Use partner feedback and engagement data to continuously improve learning content

Role Description We are hiring a Senior AI-DevOps Engineer to join our Cloud Platform team. This role focuses on building and operating a self-service Resource Provider platform, which serves as the single entry point for engineering teams to onboard, govern, and evolve their cloud infrastructure. - Design, build, and evolve reusable cloud provider patterns using Infrastructure-as-Code (e.g., Pulumi) adopted across supplier teams. - Contribute to the platform’s REST API contract layer (Python / FastAPI) to ensure onboarding is reproducible, auditable, and observable. - Build and maintain CI/CD automation using GitHub Actions, including reusable workflows, OIDC-based authentication, composite actions, and shared release patterns. - Partner with consumer and supplier teams to run discovery sessions, document integration patterns, and unblock cross-team delivery. - Track, measure, and communicate platform adoption metrics across teams. - Use AI tooling in daily development workflows and contribute to internal AI-enabled engineering practices (e.g., code reviews, retrospectives, automation). - Participate in a weekly on-call rotation, owning production incident response and contributing to root-cause analysis and systemic improvements. - Produce comprehensive documentation including onboarding guides, runbooks, and architectural decision records (ADRs). Qualifications - 5+ years of experience in software, DevOps, or platform engineering, including at least 2+ years working on cloud platforms, infrastructure, or developer tooling. - Hands-on experience with Infrastructure-as-Code frameworks (Pulumi, Terraform, Bicep, or CDK). - Strong DevOps fundamentals, including CI/CD pipeline design, GitHub Actions (or equivalent), container/Kubernetes basics, and observability practices. - Experience building REST APIs in Python (FastAPI or Flask), including OpenAPI documentation, authentication, and production-grade error handling. - Knowledge of Azure fundamentals, including Landing Zone patterns, identity, and secret management. - Security-focused engineering mindset, including least-privilege IAM, secret rotation, auditability, and dependency hygiene. - Strong written English and experience working in async-first, distributed teams. - Demonstrated senior-level ownership through at least two of the following: - Ownership of a production system end-to-end (design, delivery, and operation). - Leading cross-team initiatives, migrations, or root cause analysis programs. - Mentoring engineers through code reviews, design artifacts, or onboarding materials. - Building reusable platform patterns adopted beyond a single team. Requirements - Experience with Pulumi, including Automation API, provider development, or multi-stack patterns. - Kubernetes access governance experience (RBAC, namespace governance, AKS). - Experience working in regulated or compliance-driven environments (e.g., FedRAMP, SOC 2, ISO 27001). - Experience building or contributing to internal AI developer tooling (e.g., AI workflows, prompt libraries, coding assistants). 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 between 208,000 and 312,000 PLN. - 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.

Role Description As a Hands-On Data Engineering Manager, you will lead and grow a high-performing team while actively contributing to the design and evolution of core data platforms and pipelines. You will help shape technical direction, reinforce engineering best practices, and ensure systems are reliable, scalable, and efficient. This role balances leadership responsibilities with hands-on technical contributions, supporting both delivery and long-term platform development. Qualifications - 2+ years leading data engineering or software engineering teams - Hands-on experience building and operating large-scale data processing systems - Proficiency in Python and SQL - Knowledge of lakehouse technologies such as Delta Lake or Apache Iceberg - Familiarity with modern data platforms such as Databricks or Snowflake - Solid understanding of software engineering best practices and CI/CD automation - Strong communication, collaboration, and decision-making skills Requirements - Experience with distributed data processing frameworks such as Spark or Flink - Experience building self-service analytics or internal data platforms - Understanding of AI/ML workflows and data requirements for model development 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 between 288,000 and 432,000 PLN - 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

• Own instructional design programs or portfolios from intake through measurement and iteration • Translate business priorities into outcome-based learning strategies with clear roadmaps • Use AI-assisted data synthesis and performance analytics for trade-off recommendations • Build learning programs with generative AI as a core component • Advance modern instructional design practice and ensure all solutions are outcome-oriented • Lead the shift from manual production to AI-assisted, modular learning ecosystems • Partner with subject matter experts for knowledge capture

• 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

• Develop a strong understanding of projects impacting your service area • Help guide the resolution of critical customer incidents • Lead technical success plans to ensure customers have a positive experience using Relativity • Drive internal service review meetings covering performance, service improvements, quality, and process • Partner with senior team members in Product and Engineering to troubleshoot customer incidents • Provide best practices on the use of Relativity • Maintain flexibility to work other time frames as needed.

• Serve as the primary steward for Salesforce data across Sales and Success, ensuring data is accurate, consistent, and remains evergreen. • Partner with Business Intelligence to define and maintain data dictionaries, naming conventions, and metadata documentation for Salesforce objects and fields. • Create, maintain, and clearly communicate a formal process for updating Salesforce objects, fields, and related data rules. • Review and validate change requests, ensuring that requests align with business needs, data governance standards, and system scalability. • Partner with enablement teams to provide training to stakeholders on data quality best practices and the approved process for requesting Salesforce data changes. • Analyze Salesforce data to identify trends, gaps, inconsistencies, and opportunities for process improvement. • Assist in defining measurable data quality KPIs and provide reporting on data governance performance. • Develop and maintain documentation including data flow diagrams, governance frameworks, change-control processes, and user guides.

Role Description This role will be the lead technical expert and own all integrations for Workday Financials and related matters. The Senior Financial Systems Engineer will partner closely with various stakeholders to research, design, build, maintain, and scale integrations between Workday and other systems. The ideal candidate will have high fluency in both functional and technical discussions with the gumption to drive solutions and curiosity to seek continuous improvement. This role will report into Financial Systems leadership and can be remote-based with travel flexibility. Responsibilities - Lead all aspects of Workday integration development and maintenance - Monitor, triage, and resolve issues performing detailed root cause analyses while effectively communicating with impacted parties - Identify process improvements and opportunities and quickly act on them - Collaborate closely with third-party resources and stay up to date on releases and new feature enhancements - Champion innovation and automation through AI and other intelligent solutions - Create clear and concise documentation (e.g., technical design, data lifecycle, unit testing) - Ensure compliance controls satisfy audit and SOX requirements Qualifications - Bachelor's degree in Computer Science, Information Systems, or related field or equivalent experience - 5+ years of hands-on experience with Workday Studio, RaaS integrations, BIRT, EIB, complex calculated fields, XSLT, etc. - Strong working knowledge of APIs, enterprise application development platforms, and web services (SOAP, REST) - Proficient with middleware tools such as Workato, Boomi, Fivetran - Strong written and verbal communication skills and ability to work independently with Finance and IT teams - Exceptional attention to detail Preferred - Workday Pro Integrations certification a big plus Benefits - Impactful Mission: Organize Data, Discover the Truth and Act on It - Our customers include Fortune 500 enterprises and leading law firms managing high stakes matters on our platform. - Growth Path: Access to certifications, technical training, and leadership programs. - Inclusive Culture: Community Resource Groups, belonging initiatives, and a collaborative environment. Diverse backgrounds and perspectives make us stronger. - Community Impact: Volunteer opportunities and company-sponsored charitable programs. - Compensation & Benefits: Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, two annual company breaks, home office stipend, and an equity program. - 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 $93,000 and $139,000. - 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. Required Skills - Application Development - Collaboration - Computer Programming - Continuous Improvement - Design - Enterprise Application Development - Integration Development - Leadership - Problem Solving - Process Improvements - Product Development - Project Management - Quality Assurance (QA) - Software Development - System Designs - Technical Support - Troubleshooting - Workday Financials

• Creating, resolving, and maintaining support tickets • Providing client support via phone and ticketing systems • Collaborating within their product vertical to resolve issues and escalate tickets • Maintaining accurate records of all activities and interactions in Salesforce • Informing management of important issues regarding personnel, performance, client perception, and project statuses

• Oversee team response to customer incidents and requests on a daily basis • Follow appropriate policies and procedures for creating, scrubbing, updating, escalating, transitioning, and closing customer incidents and requests; attention to proper detail when coding and documenting tickets is essential for accurate reporting and maintaining historical ticket data • Proactively monitor assigned open tickets, contact customers, and update tickets on a timely basis • Proactively monitor staff phone availability and make dynamic changes to schedules to continuously meet service level objectives • Manage toward Customer Support KPI’s • Work closely and collaboratively with US teams to provide extended global support hours • Oversee team as they provide complex responsive support to clients during normal business hours when scheduled for early and late shifts and as identified for on-call or as requested by management; early/late shifts. Minimal On-call shifts are required • Oversee team as they complete all daily tasks and projects as requested, on-time, and with attention to detail and quality • Provide excellent customer service using the communication methods designated by Relativity • Provide direction and apply company policies to broader team(s) or sub-department • Translate business objectives and determine how to use resources to meet schedules and goals • Manage issues of diverse and ambiguous scope which require evaluation of a variety of factors and current business trends • Coach and develop employees to expand upon their technical and Relativity related skill sets. • Develop and administer schedules and performance requirements