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Own end-to-end sales performance reporting, data governance, and AI-native GTM workflows. Build and maintain Tableau dashboards, define KPIs and data standards, resolve data discrepancies, design AI-powered automation using LLMs, partner cross-functionally, deliver business rhythms reporting, and mentor junior team members.

As a Software Engineer, you will design and build backend services for Relativity's generative AI platform, focusing on scalability and reliability in distributed systems.

Lead technical strategy and hands-on development of cloud-native platform services and automation using .NET and Azure. Define architecture, drive IaC and CI/CD, mentor engineers, improve developer productivity, promote DevOps, and integrate AI/ML where beneficial.

Provide technical support for a product vertical, troubleshoot and resolve software/network issues, run basic SQL queries, maintain tickets in Salesforce, escalate when needed, meet SLAs, obtain Public Trust clearance, and deliver excellent customer service during assigned CST shifts.

Lead product strategy and delivery for cloud-native infrastructure and AI platform capabilities. Define roadmaps, translate technical constraints into requirements, improve developer experience and observability, track product metrics, and drive adoption through cross-functional collaboration with Engineering, Security, Finance, and partners.

Design, build, and operate distributed, cloud-native full‑stack services and data pipelines at petabyte scale. Troubleshoot production issues, lead incident response and root cause analysis, mentor engineers, influence reliability/security/performance practices, and participate in on-call rotations to ensure highly available, scalable AI-powered legal data solutions.

Design and build scalable frontend platform infrastructure for AI products: reusable UI libraries, micro-frontend composition, AI context-sharing, testing and CI/CD improvements, accessibility and performance optimization, and mentor engineers.

Design, develop, and maintain partner-facing enablement content, learning journeys, and GTM assets. Manage Partner Portal and asset library, run onboarding and launch programs, ensure content governance, and iterate using partner feedback and engagement data.

Contribute to building and operating scalable cloud services, develop user interfaces, collaborate on products, and improve engineering practices.

Lead and grow an applied science team to build reliable, production-ready generative AI systems for legal workflows. Own end-to-end AI readiness, architecture, evaluation, error analysis, deployment, and monitoring while partnering with product, engineering, and legal experts to scale agentic assistants and large-scale document review.