Relativity

Own complex public-sector customer outcomes and renewals while leading AI adoption, change management, and customer success methodology across the team. | Requires 7–10 years in customer success, consulting, or strategic account management, executive-level enterprise account ownership, deep legal technology or regulated-environment expertise, AI adoption fluency, and change-management leadership. | Posting Type Remote/Hybrid Job Overview The Lead Customer Success Manager operates at the intersection of strategic customer consulting and internal team leadership. This role owns a portfolio of Premier Tier (PSP) accounts, which are the highest-value, most complex relationships in the business. This role also serves as a methodology leader, coaching resource, and execution standard-setter for the broader CSM team. The Lead CSM is accountable, not only for their own portfolio outcomes, but for the quality of AI adoption, change-management practice, and domain expertise that CSMs in their orbit deliver. This role shapes what excellence looks like. Job Description And Requirements Own Premier-Tier Customer Outcomes • Deliver the full Premier Tier value proposition: orchestrate the PSP catalogue, coordinate the account team (TAM, Adoption Services, Executive Sponsor), and own the customer’s overall success program quality. • Own customer health; make building the renewal business case a daily motion. • Lead ROI Summaries, benchmarking reports, and executive-level Business Reviews that quantify impact and connect to customer C-suite priorities. • Build VO champion relationships; deliver referenceable outcomes that Marketing and Sales leverage — and hold self accountable to referenceable account targets. Lead AI Adoption and Change Management at the Highest Level • Serve as the team’s AI adoption and change-management exemplar: lead customers through comprehensive aiR workflow integration, advising on governance, defensibility, and how to transform legal practice. • Own the conversation with GCs, senior partners, and legal ops leaders on what AI means for their team, their workflows, and their risk posture. Be the person customers trust to co-design AI-governed legal workflows. • Use generative AI tools to accelerate success planning, VO creation, and customer prep, and model what this looks like for peers. • Build repeatable AI adoption and change-management playbooks for your segment; contribute to the team’s Tier 1 methodology. Serve as a Methodology Leader and Internal Multiplier • Own at least one department-level initiative per year with measurable business impact (e.g., AI adoption playbook development, Tier 1 methodology, change-management framework). • Train and coach CSMs on VO quality, Tier 1 adoption, AI governance conversations, exec engagement, and success planning; serve as the practical expert peers go to before escalating to management. • Represent the CSM function in cross-functional forums, product councils, or Sales alignment meetings; bring a documented customer perspective that shapes decisions. Execute with Executive Credibility and Commercial Awareness • Maintain C-suite relationships across PSP accounts; be recognized by customer executives as a strategic peer and change-management advisor • Partner with AEs and Sales leadership as a peer: bring account intelligence, surface growth signals, and co-develop expansion strategies, while maintaining the trusted advisor boundary. • Anticipate and navigate complex stakeholder environments, including multi-entity global structures and political dynamics, without escalation dependency. What We’re Looking For • 7–10 years in Customer Success, Consulting, or Strategic Account Management with demonstrable ownership of enterprise or premier-tier relationships • Track record of driving measurable outcomes across complex, multi-stakeholder accounts at the executive level • Proven ability to develop team methodology, playbooks, or enablement assets that improve peer performance • C-suite credibility: able to lead exec-level conversations, challenge assumptions constructively, and influence strategic decisions • Deep AI fluency: able to advise customers on aiR adoption strategy, AI governance, workflow defensibility, and the business case for AI-enabled legal practice transformation • Change-management leadership: able to help customers build internal consensus, navigate resistance, and measure adoption by outcomes. • Commercial awareness: understands renewal dynamics, growth signals, and how to support Sales without overstepping role boundaries Required • Deep expertise in legal technology, eDiscovery, litigation operations, or a compliance-regulated environment. This role advises GCs and senior partners; domain credibility is non-negotiable Preferred • Background in legal practice, litigation support, or legal operations; the ability to speak as a peer to senior legal professionals • Experience owning Premier or paid success programs with defined SLAs and commercial accountability • Gainsight advanced user; able to build or influence scorecard logic and reporting to drive team outcomes 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: $100,000 and $150,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills Account Management, Collaboration, Communication, Customer Relationship Management (CRM), Customer Relationships, Customer Retentions, Customer Success, Relationship Management, Strategic Planning, Team Leadership

Own outcomes and renewals for premier public-sector accounts, lead AI adoption and change management, and coach the broader customer success team. | Requires 7–10 years of strategic customer success or account management experience, executive-level relationship skills, deep legal technology expertise, AI fluency, and demonstrated commercial outcomes. | Posting Type Remote/Hybrid Job Overview The Lead Customer Success Manager operates at the intersection of strategic customer consulting and internal team leadership. This role owns a portfolio of Premier Tier (PSP) accounts, which are the highest-value, most complex relationships in the business. This role also serves as a methodology leader, coaching resource, and execution standard-setter for the broader CSM team. The Lead CSM is accountable, not only for their own portfolio outcomes, but for the quality of AI adoption, change-management practice, and domain expertise that CSMs in their orbit deliver. This role shapes what excellence looks like. Job Description And Requirements Own Premier-Tier Customer Outcomes • Deliver the full Premier Tier value proposition: orchestrate the PSP catalogue, coordinate the account team (TAM, Adoption Services, Executive Sponsor), and own the customer’s overall success program quality. • Own customer health; make building the renewal business case a daily motion. • Lead ROI Summaries, benchmarking reports, and executive-level Business Reviews that quantify impact and connect to customer C-suite priorities. • Build VO champion relationships; deliver referenceable outcomes that Marketing and Sales leverage — and hold self accountable to referenceable account targets. Lead AI Adoption and Change Management at the Highest Level • Serve as the team’s AI adoption and change-management exemplar: lead customers through comprehensive aiR workflow integration, advising on governance, defensibility, and how to transform legal practice. • Own the conversation with GCs, senior partners, and legal ops leaders on what AI means for their team, their workflows, and their risk posture. Be the person customers trust to co-design AI-governed legal workflows. • Use generative AI tools to accelerate success planning, VO creation, and customer prep, and model what this looks like for peers. • Build repeatable AI adoption and change-management playbooks for your segment; contribute to the team’s Tier 1 methodology. Serve as a Methodology Leader and Internal Multiplier • Own at least one department-level initiative per year with measurable business impact (e.g., AI adoption playbook development, Tier 1 methodology, change-management framework). • Train and coach CSMs on VO quality, Tier 1 adoption, AI governance conversations, exec engagement, and success planning; serve as the practical expert peers go to before escalating to management. • Represent the CSM function in cross-functional forums, product councils, or Sales alignment meetings; bring a documented customer perspective that shapes decisions. Execute with Executive Credibility and Commercial Awareness • Maintain C-suite relationships across PSP accounts; be recognized by customer executives as a strategic peer and change-management advisor • Partner with AEs and Sales leadership as a peer: bring account intelligence, surface growth signals, and co-develop expansion strategies, while maintaining the trusted advisor boundary. • Anticipate and navigate complex stakeholder environments, including multi-entity global structures and political dynamics, without escalation dependency. What We’re Looking For • 7–10 years in Customer Success, Consulting, or Strategic Account Management with demonstrable ownership of enterprise or premier-tier relationships • Track record of driving measurable outcomes across complex, multi-stakeholder accounts at the executive level • Proven ability to develop team methodology, playbooks, or enablement assets that improve peer performance • C-suite credibility: able to lead exec-level conversations, challenge assumptions constructively, and influence strategic decisions • Deep AI fluency: able to advise customers on aiR adoption strategy, AI governance, workflow defensibility, and the business case for AI-enabled legal practice transformation • Change-management leadership: able to help customers build internal consensus, navigate resistance, and measure adoption by outcomes. • Commercial awareness: understands renewal dynamics, growth signals, and how to support Sales without overstepping role boundaries Required • Deep expertise in legal technology, eDiscovery, litigation operations, or a compliance-regulated environment. This role advises GCs and senior partners; domain credibility is non-negotiable Preferred • Background in legal practice, litigation support, or legal operations; the ability to speak as a peer to senior legal professionals • Experience owning Premier or paid success programs with defined SLAs and commercial accountability • Gainsight advanced user; able to build or influence scorecard logic and reporting to drive team outcomes 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: $100,000 and $150,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills Account Management, Collaboration, Communication, Customer Relationship Management (CRM), Customer Relationships, Customer Retentions, Customer Success, Relationship Management, Strategic Planning, Team Leadership

Build and maintain full-stack features including AI tools, APIs, front-end components, and collaborate on AI model evaluation and production monitoring. | At least 2 years professional experience with TypeScript or Python, full-stack web development, LLMs, cloud services, and strong data structures and algorithms knowledge. | Posting Type Hybrid/Remote 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 Gavel is a Microsoft Word-native agentic surface where lawyers perform real-time, evidence-based document editing and drafting. Gavel operates as a small, founder-led team within Relativity, with product and engineering led directly by Dorna Moini and Pierre Martin. Job Description and Requirements ABOUT THE ROLE This role offers an opportunity to grow as a full-stack AI engineer on a small team that ships agents to lawyers weekly. You will work alongside the engineers who built Gavel from the ground up and gain direct exposure to the founders. You will begin with well-defined features across the stack and grow toward end-to-end ownership of agentic features. This Advanced Software Engineer role is designed for an early-career to mid-level engineer ready to grow quickly. The role reports to a Lead or Staff Engineer on Gavel at Relativity and may be based remotely in the United States or in Seattle or Chicago. WHAT YOU’LL DO Build features across the full stack of Gavel Exec, including agent tools, prompt and context changes, services and API endpoints, and front-end work in the Word add-in and web app. Write and extend evaluations, run them, and learn to interpret the results. Ship changes behind feature flags and monitor production outcomes. Learn and practice a modern software development lifecycle from day one through small, frequent commits, feature-flagged deployments, fast rollbacks, and best-in-class agentic engineering tools. Fix bugs, improve reliability, and add tests while developing an understanding of how agentic systems fail. Pair with Senior and Lead engineers on design and code reviews. Ask questions and document what you learn so others can benefit. Take on increasingly ambiguous problems as you demonstrate readiness. WHAT WE’RE LOOKING FOR Required 2+ years of professional software development experience or equivalent demonstrated ability, such as a strong open-source track record, a shipped product, or substantial internship experience. Working proficiency in at least one of TypeScript or Python, plus hands-on experience building full-stack web applications with a front end such as React, services, and a relational database using SQL. Hands-on experience building an agentic solution with LLMs, even at a small scale, such as an agent, a retrieval-augmented generation application, or a tool-using assistant. Ability to explain system prompts, tool calls, embeddings, and common failure points. Basic familiarity with cloud services such as AWS, Azure, or GCP, containers, and CI/CD. Strong fundamentals in data structures, algorithms, and writing clean, tested code. Curiosity about how lawyers work and the humility to learn from acceptance data when an initial idea does not perform as expected. Clear written and spoken English and a preference for simple solutions over clever ones. 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 between following values: $103,000 and $155,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Engineering Principle, Hardware Integration, Innovation, Problem Solving, Process Improvements, Quality Assurance (QA), Research and Development, System Designs, Technical Documents, Troubleshooting

Lead a small engineering team to design, develop, and monitor agentic systems while defining technical roadmap and collaborating across teams. | 8+ years production software development, 1+ year shipping LLM products, proficiency in Python or TypeScript, cloud infrastructure, and technical leadership experience. | Posting Type Hybrid/Remote 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 Gavel is a Microsoft Word-native agentic surface where lawyers perform real-time, evidence-based document editing and drafting. Gavel operates as a small, founder-led team within Relativity, connecting its product and engineering work with Relativity teams responsible for shared platform capabilities, identity, and security. Job Description and Requirements ABOUT THE ROLE As a Lead Software Engineer, you will be the full-stack technical owner for a major area of Gavel’s product, such as a family of agents or a core capability including the context pipeline, evaluation platform, or Word integration. You will own the technical plan across the front end, harness, and data layer, along with the quality of releases and the growth of the two to four engineers building the area with you. This is a hands-on technical leadership role. Roughly half of your time will be spent coding. You will work directly with Gavel’s CTO and Staff Engineer on architecture and represent your area to the broader Relativity technology team when it intersects with shared platform, identity, or security. The role reports to Pierre Martin, CTO of Gavel and VP of Engineering at Relativity, and may be based remotely in the United States or in Seattle or Chicago. WHAT YOU’LL DO · Own the technical roadmap and delivery for your area, from design through production monitoring. Break ambiguous product goals into shippable milestones and sequence them across the stack. · Design and build agents and the infrastructure they run on, including tool definitions, prompts and context assembly, structured outputs, guardrails, evaluation sets, and the Word and web experiences that surface them. · Run the evaluation and release loop for your agents. Understand acceptance rates, identify why results change, and determine whether a change is ready to ship. · Model a modern software development lifecycle for your squad through small, frequent commits, feature-flagged production deployments, fast rollbacks, and daily use of agentic engineering tools to improve quality and velocity. · Partner directly with Dorna Moini, Pierre Martin, product, and design on what to build next, and engage with customers when the answer is not clear from the data. · Lead design reviews, establish coding and testing standards for your squad, mentor Senior and Advanced engineers, and participate in hiring. · Work with Relativity platform and security teams on areas that touch shared infrastructure, identity, or compliance. WHAT WE’RE LOOKING FOR Required · 8+ years of experience building production software in service-oriented, continuously deployed teams, including at least 1 year shipping LLM-based products or features to real users. · Direct experience building full-stack web applications and agentic applications, including ownership of at least one agentic capability in production involving tool use and function calling, multi-step orchestration, structured outputs, retries and failure handling, and observation and debugging of non-deterministic systems. · Practical experience with evaluation, including building evaluation sets, selecting metrics, using LLM-as-judge appropriately, and connecting offline results to online outcomes. · A solid grasp of retrieval and context engineering, including embeddings, hybrid search, chunking and ranking strategies, and context budgeting. · Hands-on cloud infrastructure experience with AWS or Azure, or the willingness to develop deep expertise quickly, along with comfort using containers, CI/CD, infrastructure as code, and production observability. · Fluency in at least one of TypeScript or Python and the ability to work across the stack, including React front ends, Node or Python services, and PostgreSQL. · Experience leading the technical work of a small team through planning, reviewing, unblocking, and developing engineers while continuing to deliver meaningful code. · Clear written and verbal communication, including the ability to explain model-quality regressions to lawyers and scoping trade-offs to founders. · A strong drive for simplicity and the judgment to distinguish useful abstractions from unnecessary ones. 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 between following values: $150,000 and $224,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

Design, build, and maintain AI agents and frontend experiences, contribute to shared infrastructure, and collaborate with teams to deliver legal tech solutions. | 5+ years in service-oriented software development focusing on LLM-powered features and full-stack applications with proficiency in TypeScript or Python and cloud platforms. | Posting Type Hybrid/remote 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 Gavel is the Microsoft Word-native agentic surface where lawyers perform real-time, evidence-based document editing and drafting. Gavel operates as a small, founder-led team within Relativity, with product and engineering led directly by Dorna Moini, CEO, and Pierre Martin, CTO of Gavel and VP of Engineering at Relativity. Job Description and Requirements ABOUT THE ROLE As a Senior Software Engineer, you will build and own production agents end to end across the full stack. You will take an agent from a customer problem and rough specification through tool design, prompt and context work, an evaluation set, the Word or web experience, a feature-flagged launch, and follow-up improvements informed by acceptance data. You will work independently on well-scoped problems and collaboratively on ambiguous ones, directly with the founders and the rest of the team. Level: Senior Reports to: Lead or Staff Engineer, Gavel at Relativity Location: Remote within the United States, Seattle, or Chicago WHAT YOU’LL DO Design, build, and ship agents and agent capabilities end to end, including tools, prompts, context assembly, structured outputs, guardrails, services, and the frontend experience in Word or on the web. Build and maintain evaluations for the capabilities you own. Use them to guide decisions and instrument production to measure acceptance, latency, and cost per agent. Contribute to shared infrastructure, including the harness, context and retrieval pipeline, model routing, and observability stack. Practice a modern software development lifecycle through small, frequent commits, feature-flagged production deployments, fast rollbacks, and daily use of agentic engineering tools. Debug non-deterministic failures, retrieval misses, tool-call errors, and model regressions. Participate in design reviews, write clear technical documentation, review code for other engineers, and mentor Advanced engineers. Work directly with product, design, and, at times, customers to understand what good work product means for a given legal task. WHAT WE’RE LOOKING FOR Required 5+ years of experience building production software in service-oriented, continuously deployed teams, including experience shipping LLM-powered features to real users through a launched project, not only experiments. Direct experience building full-stack web applications and agentic applications, including API usage across providers, function calling and structured outputs, prompt and context engineering, retrieval-augmented generation, and evaluation fundamentals. Hands-on cloud service development experience with AWS, Azure, or an equivalent platform, including containers, CI/CD, and production debugging, with a willingness to develop deep expertise. Fluency in TypeScript or Python and the ability to work across a React frontend, Node or Python services, and PostgreSQL. Experience writing and maintaining tests that catch regressions. Strong engineering fundamentals in API design, data modeling, concurrency, performance, and reliability. Good written and spoken English, with the ability to explain technical decisions succinctly to non-engineers. A strong commitment to simplicity, demonstrated through open-source work, side projects, or past professional work. 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 between following values: $126,000 and $190,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership

Execute partner marketing campaigns, manage event participation, and report on program performance to drive engagement. | 5-8 years B2B marketing experience with partner/channel marketing background and proficiency in project management and marketing technologies. | Posting Type Remote/Hybrid Job Overview We're looking for a Senior Specialist, Partner Marketing Campaigns & Events to help drive the execution of partner marketing campaigns, programs, and events that strengthen partner engagement and support business growth. This role is ideal for a marketer who enjoys bringing campaigns and events to life, collaborating across teams, and creating meaningful experiences for partners through field marketing activities, industry events, meaningful content, and digital campaigns. You will play a key role in executing multi-partner marketing initiatives, managing partner participation in Relativity and industry events, and supporting marketing programs from planning through execution and measurement. You will also help guide campaign performance reporting and provide recommendations to improve future programs and partner engagement. This role combines campaign execution, event marketing, communications, and program management, making it an excellent opportunity for someone interested in growing their expertise in partner marketing. Over time, this role is designed to provide increasing exposure to partner strategy and relationship management, creating a path toward a more partner-facing partner marketing role as experience, confidence, and impact expand. Job Description and Requirements What You'll Do Own the execution of partner marketing campaigns and programs, including field marketing activities, content initiatives, webinars, and digital campaigns. Manage partner participation across Relativity-sponsored events and industry conferences, including sponsorship fulfillment, partner engagement, communications, event logistics, and post-event follow-up. Responsibilities may include supporting initiatives such as RelFest, Legalweek, ILTACON, CLOC, and other strategic industry events. Serve as a key coordinator for partner marketing activities related to major events, helping ensure a positive and consistent experience for participating partners before, during, and after each event. Manage internal partner marketing communications, including team updates, deliverables, deadlines, and visibility into priority initiatives. Execute campaign-related activities including email marketing, landing page development, content creation, social media promotion, campaign setup, and coordination with Marketing Operations and other supporting teams. Coordinate partner marketing content and communications opportunities, including social media promotion, partner announcements, public relations activities, and partner-related web content updates. Track and report on campaign and program performance, providing observations, insights, and recommendations to improve future partner marketing initiatives. Create monthly and quarterly reports that provide the Partner Marketing team with visibility into campaign, program, and event performance, highlighting key results, trends, and areas for follow-up. Collaborate with cross-functional teams including Events, Product Marketing, Segment Marketing, Marketing Operations, Communications, and Sales to ensure successful campaign and program execution. What We're Looking For 5-8 years of experience in B2B marketing, preferably in tech, legal, or SaaS. Experience working in a partner marketing, channel marketing, alliance marketing, or ecosystem marketing environment, even if not in a partner-facing capacity. Experience supporting conferences, trade shows, customer events, sponsorships, or other field marketing activities. Experience executing multi-channel marketing campaigns, events, or marketing programs from planning through execution and measurement. Strong project management skills, with the ability to manage multiple programs, stakeholders, deadlines, and competing priorities simultaneously. Strong written and verbal communication skills, including experience developing marketing communications, campaign assets, or event-related content. Comfort working with marketing performance data and campaign reporting, with the ability to identify trends and suggest opportunities for improvement. Familiarity with marketing technologies such as Salesforce, marketing automation platforms, webinar platforms, or similar tools. Collaborative mindset and the ability to work effectively across multiple teams and functions. Interest in continuing to grow into a more partner-facing partner marketing role over time, with increasing exposure to partner engagement, strategic planning, and relationship management. Location This position can be remote for candidates located outside the Chicago area. Candidates based in the Chicago area are expected to work from the Chicago office at least two days per week as part of Relativity's hybrid work model. There may be limited travel to support field marketing events. If hired as a remote employee, you will be expected to travel to the Chicago office for team meetings 2-4 times per year. 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: $94,000 and $142,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Channels Marketing, Content Marketing, Digital Marketing, Event Marketing, Lead Generation, Marketing Strategies, Partner Marketing, Public Relations (PR), Relationship Management, Sales Enablement

Lead enterprise IAM architecture, strategy, and operational maturity focusing on identity security. | 8+ years in enterprise IAM or security engineering with expertise in identity platforms, protocols, and threat detection. | Posting Type Remote Job Overview The Senior IAM Engineer is a technically authoritative leader who sets the direction for the enterprise IAM function and anchors identity as the primary control plane in a defense-in-depth program. This engineer owns the architecture, strategy, and operational maturity of AI-enabled identity technologies across the workforce, customer, and non-human (machine and agent) identity domains. Partnering with the Manager of Enterprise Security and leading cross-functional teams, the role reduces Relativity's identity attack surface, sets the standards others build against, mentors engineers, and elevates the organization's ability to detect and respond to identity-based threats. Role Responsibilites Job Description and Requirements Continuous Adaptive Trust & Identity Architecture • Design identity architecture spanning workforce, machine, and workload identity, mapping layered controls to relevant frameworks as a core tier of defense-in-depth. • Design and advance continuous adaptive trust capabilities (continuous access evaluation (CAE), risk-based and phishing-resistant authentication, and signal-driven session revocation) as the maturation of the enterprise Zero Trust architecture. • Engineer and optimize ZTNA, least-privilege micro-segmentation, MFA/FIDO2, and JIT access across access paths. • Design and optimize SSO, federation, and authentication standards (SAML, OAuth 2.0, OIDC, SCIM, Kerberos, LDAP) across SaaS and multi-cloud environments. • Define and tune hardening standards using CIS Benchmarks/DISA STIGs with automated compliance validation. Identity Lifecycle, Governance & PAM • Design and optimize identity lifecycle automation (joiner/mover/leaver) integrating HR systems, directories, and downstream applications. • Engineer identity governance and administration (IGA) capabilities: access reviews, certification campaigns, and segregation-of-duties enforcement. • Lead implementation and optimization of privileged access management (PAM) including credential vaulting, JIT elevation, and session monitoring. • Design governance for non-human identities (service accounts, workloads, secrets) with automated drift detection and policy-as-code enforcement. Detection, Response & Threat Context • Lead integration of identity telemetry into the detection stack (SIEM/SOAR, UEBA) to detect credential abuse, privilege escalation, and lateral movement, reducing MTTD and MTTR. • Develop identity-focused IR playbooks covering account takeover, credential compromise, federation abuse, and session hijacking. • Apply threat intelligence context to prioritize identity exposure remediation and lead identity-focused purple team engagements. AI DevSecOps & Collaboration • Design identity controls embedded in AI-augmented CI/CD pipelines (secret scanning, IaC identity policy, workload identity) with AI-generated fix recommendations surfaced in PR workflows. • Define and track identity KPIs: privileged access coverage, certification completion, authentication anomaly rates, and entitlement drift. • Partner with GRC on identity controls aligned to SOX, SOC 2, ISO 27001, HIPAA, GDPR, and CCPA, and support audits, certifications, e-discovery, and forensic integrity requirements. • Provide technical guidance and mentorship to Advanced and Engineer-level identity engineers. Minimum Qualifications • Must be able to obtain and maintain the required Public Trust clearance for this role. • Bachelor's in Computer Science, Information Security, or equivalent experience. • 8+ years of hands-on experience in enterprise IAM or security engineering, with deep specialization in identity, authentication, and access domains, or a Master's degree in Cybersecurity or a relevant field with 6+ years of experience. • Expert, hands-on experience architecting and operating identity platforms across IdP/SSO (Okta, Entra ID/Azure AD, Ping), IGA (SailPoint, Saviynt), and PAM (CyberArk, BeyondTrust), with advanced knowledge of authentication and federation protocols (SAML, OIDC, OAuth 2.0, SCIM, LDAP, Kerberos). • Demonstrated experience leading identity threat detection, complex access investigations, and detection-engineering efforts, including designing automation for access enforcement and observability. • Working command of industry-standard security benchmarks and frameworks (MITRE, NIST 800-63, Zero Trust) and the ability to translate them into technical controls. • Proficiency in at least one scripting/automation language (Python, Bash, or PowerShell) applied to containerized services, CLI-based commands, and identity-specific use cases (API-driven provisioning, policy-as-code). • Proven ability to mentor engineers and communicate technical strategy and findings clearly to engineering peers, leadership, and non-technical stakeholders. Preferred Qualifications • Experience securing SaaS, cloud-native, or globally distributed regulated environments. • Cloud IAM experience across AWS, Azure, or GCP, and securing non-human/workload identities at scale. • Experience with AI-augmented security and governance for AI-assisted and agentic identity workflows (UEBA, ML-based access-risk scoring, agentic identity). • Experience embedding identity and access controls (secrets management, workload identity, policy-as-code) into CI/CD pipelines and infrastructure-as-code environments. • Familiarity with legal technology, e-discovery, litigation holds, and digital forensics chain-of-custody requirements. • Experience leading compliance and audit engagements (SOX, SOC 2, ISO 27001, FedRAMP, HIPAA, GDPR, CCPA) from an identity and access control perspective. • Certifications such as CISSP, CISM, GCIH, GCFA, CCSP, AWS Security Specialty, SC-300, or AZ-500. Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify. Benefit Highlights Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. 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: $130 000 and $195 000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills Access Management, Application Security, Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Information, Security Information and Event Management (SIEM), Security Operations, Vulnerability Management

Lead enterprise IAM architecture, strategy, and operational maturity to reduce identity attack surface and mentor engineers. | 8+ years in enterprise IAM or security engineering with deep specialization in identity and access domains, scripting skills, and leadership experience. | Posting Type Remote Job Overview The Senior IAM Engineer is a technically authoritative leader who sets the direction for the enterprise IAM function and anchors identity as the primary control plane in a defense-in-depth program. This engineer owns the architecture, strategy, and operational maturity of AI-enabled identity technologies across the workforce, customer, and non-human (machine and agent) identity domains. Partnering with the Manager of Enterprise Security and leading cross-functional teams, the role reduces Relativity's identity attack surface, sets the standards others build against, mentors engineers, and elevates the organization's ability to detect and respond to identity-based threats. Role Responsibilites Job Description and Requirements Continuous Adaptive Trust & Identity Architecture • Design identity architecture spanning workforce, machine, and workload identity, mapping layered controls to relevant frameworks as a core tier of defense-in-depth. • Design and advance continuous adaptive trust capabilities (continuous access evaluation (CAE), risk-based and phishing-resistant authentication, and signal-driven session revocation) as the maturation of the enterprise Zero Trust architecture. • Engineer and optimize ZTNA, least-privilege micro-segmentation, MFA/FIDO2, and JIT access across access paths. • Design and optimize SSO, federation, and authentication standards (SAML, OAuth 2.0, OIDC, SCIM, Kerberos, LDAP) across SaaS and multi-cloud environments. • Define and tune hardening standards using CIS Benchmarks/DISA STIGs with automated compliance validation. Identity Lifecycle, Governance & PAM • Design and optimize identity lifecycle automation (joiner/mover/leaver) integrating HR systems, directories, and downstream applications. • Engineer identity governance and administration (IGA) capabilities: access reviews, certification campaigns, and segregation-of-duties enforcement. • Lead implementation and optimization of privileged access management (PAM) including credential vaulting, JIT elevation, and session monitoring. • Design governance for non-human identities (service accounts, workloads, secrets) with automated drift detection and policy-as-code enforcement. Detection, Response & Threat Context • Lead integration of identity telemetry into the detection stack (SIEM/SOAR, UEBA) to detect credential abuse, privilege escalation, and lateral movement, reducing MTTD and MTTR. • Develop identity-focused IR playbooks covering account takeover, credential compromise, federation abuse, and session hijacking. • Apply threat intelligence context to prioritize identity exposure remediation and lead identity-focused purple team engagements. AI DevSecOps & Collaboration • Design identity controls embedded in AI-augmented CI/CD pipelines (secret scanning, IaC identity policy, workload identity) with AI-generated fix recommendations surfaced in PR workflows. • Define and track identity KPIs: privileged access coverage, certification completion, authentication anomaly rates, and entitlement drift. • Partner with GRC on identity controls aligned to SOX, SOC 2, ISO 27001, HIPAA, GDPR, and CCPA, and support audits, certifications, e-discovery, and forensic integrity requirements. • Provide technical guidance and mentorship to Advanced and Engineer-level identity engineers. Minimum Qualifications • Must be able to obtain and maintain the required Public Trust clearance for this role. • Bachelor's in Computer Science, Information Security, or equivalent experience. • 8+ years of hands-on experience in enterprise IAM or security engineering, with deep specialization in identity, authentication, and access domains, or a Master's degree in Cybersecurity or a relevant field with 6+ years of experience. • Expert, hands-on experience architecting and operating identity platforms across IdP/SSO (Okta, Entra ID/Azure AD, Ping), IGA (SailPoint, Saviynt), and PAM (CyberArk, BeyondTrust), with advanced knowledge of authentication and federation protocols (SAML, OIDC, OAuth 2.0, SCIM, LDAP, Kerberos). • Demonstrated experience leading identity threat detection, complex access investigations, and detection-engineering efforts, including designing automation for access enforcement and observability. • Working command of industry-standard security benchmarks and frameworks (MITRE, NIST 800-63, Zero Trust) and the ability to translate them into technical controls. • Proficiency in at least one scripting/automation language (Python, Bash, or PowerShell) applied to containerized services, CLI-based commands, and identity-specific use cases (API-driven provisioning, policy-as-code). • Proven ability to mentor engineers and communicate technical strategy and findings clearly to engineering peers, leadership, and non-technical stakeholders. Preferred Qualifications • Experience securing SaaS, cloud-native, or globally distributed regulated environments. • Cloud IAM experience across AWS, Azure, or GCP, and securing non-human/workload identities at scale. • Experience with AI-augmented security and governance for AI-assisted and agentic identity workflows (UEBA, ML-based access-risk scoring, agentic identity). • Experience embedding identity and access controls (secrets management, workload identity, policy-as-code) into CI/CD pipelines and infrastructure-as-code environments. • Familiarity with legal technology, e-discovery, litigation holds, and digital forensics chain-of-custody requirements. • Experience leading compliance and audit engagements (SOX, SOC 2, ISO 27001, FedRAMP, HIPAA, GDPR, CCPA) from an identity and access control perspective. • Certifications such as CISSP, CISM, GCIH, GCFA, CCSP, AWS Security Specialty, SC-300, or AZ-500. Relativity is a diverse workplace with different skills and life experiences—and we love and celebrate those differences. We believe that employees are happiest when they're empowered to be their full, authentic selves, regardless how you identify. Benefit Highlights Comprehensive health, dental, and vision plans Parental leave for primary and secondary caregivers Flexible work arrangements Two, week-long company breaks per year Additional time off Long-term incentive program Training investment program All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. 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: $130 000 and $195 000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills Access Management, Application Security, Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Information, Security Information and Event Management (SIEM), Security Operations, Vulnerability Management

Lead design, development, and operation of scalable cloud services with technical leadership and collaboration. | 7+ years building cloud-native systems with Kubernetes expertise and leadership skills. | Posting Type Hybrid/Remote 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’re deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change. What We Do At Relativity, engineers don’t just write code, they harness AI tools to architect, optimize, and deliver scalable software faster and shape the future of legal technology. They shape how industries uncover critical insights, ensure compliance, advance access to justice and continuously evolve our platform using the latest technologies, including cloud-native architectures, AI capabilities, and modern developer tooling. Our AI powers privacy programs, identifies confidential information, and detects language indicating misconduct. We’re reimagining how legal professionals uncover truth at scale, and engineering is at the heart of that transformation. The Shared Compute Infrastructure team builds and operates the Kubernetes platform that every RelativityOne service runs on: a global fleet of AKS clusters spanning commercial and government clouds, together with the networking, routing, and extensibility layers beneath them. We own the platform’s reliability, scale, and cost efficiency end to end, from cluster lifecycle automation to the policy and scheduling controls that keep thousands of tenant workloads healthy. 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 Lead the design, development, and operation of distributed, scalable, secure full-stack cloud services that process petabytes of data weekly, contributing directly to implementation and guiding your team’s execution. Provide clear technical direction across frontend, backend, and data layers, collaborating with team, staff, and principal engineers on system design. Collaborate daily with a diverse group of teammates and product partners to solve problems, achieve shared goals, and build AI-powered legal data solutions that operate at massive scale. Mentor engineers and lead through technical expertise, collaboration, and sound engineering judgment. Establish and evolve engineering standards through design and code reviews, patterns, best practices, and coaching. Align team execution with product strategy and delivery commitments, identifying and removing technical friction. Lead service ownership across the team by driving reliability efforts, on-call practices, incident response, resolution, and root cause analysis. Own delivery of platform capabilities across cluster lifecycle, workload scheduling, and infrastructure automation, applying and enforcing cloud-native architecture standards for the services your team owns. Partner with consuming engineering teams to onboard their workloads onto the platform, translating their reliability and scale requirements into platform capabilities rather than one-off exceptions. Drive platform efficiency and capacity outcomes for your team’s surface area, balancing reliability targets against compute cost. What We’re Looking For Required 7+ years of experience designing, building and operating cloud-native systems. Proven ability to set technical direction and lead teams effectively. Hands-on experience designing and building distributed, multi-tenant systems. Ownership of CI/CD, observability, and service reliability. Strong product and systems thinking, balancing delivery speed with long-term sustainability. Excellent communication, collaboration, and technical leadership skills. Hands-on experience running Kubernetes in production, including cluster lifecycle, workload scheduling, and infrastructure as code. Strong understanding of distributed systems, cloud networking, and security in a multi-tenant environment. Preferred Experience guiding UI, architecture or data platform design. Prior people-lead or technical-lead experience. Experience in regulated or large-scale environments. Familiarity with AI-development tools like GitHub Copilot, Cursor or Claude Code. Experience working in global or highly distributed organizations. Depth in Azure and AKS. Experience operating a multi-cluster fleet across regions or cloud boundaries, such as commercial and government environments. Experience with infrastructure as code and automation tooling. Why We Could Be A Great Fit 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: Engineers gain exposure across the stack, from distributed systems to AI-enabled workflows, accelerating career growth. Engineering Culture: Continuous delivery, strong observability, and end-to-end ownership. Inclusive 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. 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: $150,000 and $224,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Documentations, Innovation, Leadership, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Risk Management, Technical Knowledge, Troubleshooting

Design and operate AI-powered authentication and authorization services ensuring scalability, reliability, and security for cloud-native platforms. | Bachelor's degree and 5+ years experience in software engineering with strong knowledge of cloud-native architectures and distributed systems. | Posting Type Hybrid/Onsite 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 The Automated Workflows team designs and delivers AI-powered Authentication and Authorization services that secure access across the Relativity platform. The team builds resilient, cloud-native platform capabilities that safeguard customer data, enable secure customer innovation, and support mission-critical legal workflows at enterprise scale. Job Description and Requirements ABOUT THE ROLE As a Senior Software Engineer on the Automated Workflows team, you will design, build, and operate the next generation of AI-powered Authentication and Authorization services that secure access across the Relativity platform. You will build resilient, cloud-native platform capabilities that safeguard customer data, enable secure customer innovation, and support mission-critical legal workflows at enterprise scale. If you are passionate about solving complex technical problems, designing for scale, and leading through influence while building tools that matter, Relativity offers the opportunity to make a measurable impact. WHAT YOU’LL DO Design, build, and operate next-generation AI-powered Authentication and Authorization services. Develop resilient, cloud-native platform capabilities that secure access across the Relativity platform. Safeguard customer data through secure and scalable platform design. Enable secure customer innovation through platform capabilities and services. Support mission-critical legal workflows at enterprise scale. Solve complex technical problems and design systems for scalability and reliability. Lead through influence while contributing to high-impact engineering initiatives. WHAT WE’RE LOOKING FOR Required Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. 5+ years of experience in software engineering, with a focus on cloud-native or distributed systems. Strong understanding of modern software design principles and cloud-native architectures. Proven ability to deliver complex solutions and own them end-to-end in production environments. Experience working with distributed multi-tenant systems. Experience raising engineering quality through design discussions, code reviews, and mentorship. Solid understanding of CI/CD pipelines, automated testing, observability, and incident response. Strong cross-functional communication and collaboration skills. Preferred Experience building full-stack systems at scale using React and .NET. Familiarity with performance tuning, scalability trade-offs, and secure-by-default design. Experience working in high-scale or regulated environments. Hands-on experience with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude Code. 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 between following values: $126,000 and $190,000 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. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership