Top Tech Jobs & Startup Jobs

Build and operate scalable, secure, distributed cloud services and data pipelines supporting AI-powered legal technology. Develop full-stack capabilities, improve platform throughput, latency, cost, and reliability, and contribute to APIs, model routing, durable workflows, observability, code reviews, incident response, and on-call support. Collaborate with product and engineering teams to safely deploy AI models across commercial and government cloud environments.

Execute partner marketing campaigns, programs, webinars, digital initiatives, and industry events. Coordinate sponsorship fulfillment, partner communications, content, logistics, and cross-functional delivery. Manage campaign assets, reporting, and performance analysis while recommending improvements. Support email, landing page, social, public relations, and web content activities. The role requires strong project management, communication, marketing analytics, and familiarity with marketing technology, with limited travel and hybrid expectations for Chicago-based employees.

Provides Tier 2 IT support, independently troubleshooting desktop, network, application, identity, and endpoint issues. Escalates and resolves complex incidents, supports Azure AD, Microsoft 365, MFA, Intune, JAMF, and Autopilot workflows, and communicates during major incidents. The role also coaches junior analysts, maintains documentation, contributes to root-cause analysis and process improvements, and supports enterprise hardware, software, and configuration deployments across global IT teams.

Design, develop, operate, and troubleshoot scalable cloud-based services using .NET/C#, React, JavaScript, SQL, and Azure. Build integrations, manage migrations, maintain CI/CD pipelines, apply cloud-native architecture, monitor production systems, remediate vulnerabilities, participate in on-call rotations, and collaborate with product and engineering teams to deliver software features.

Build and own frontend delivery for AI chat and agent experiences using React and TypeScript. Develop scalable micro-frontends, reusable libraries, accessible interfaces, streaming interactions, and modular architecture. Lead testing, performance, CI/CD, and component lifecycle practices while collaborating with product, UX, and backend teams. Mentor engineers and establish frontend engineering standards across a cloud platform.

Supports product launch processes, feedback and roadmap management tools, product-team operating rhythms, reporting, and process guidance. Identifies manual or inefficient workflows and implements AI-powered automations, workflow integrations, templates, and SOPs. Measures improvement outcomes and supports AI adoption across product discovery, requirements, and delivery. Collaborates with product managers and internal partners to improve operational consistency, scalability, and efficiency.

Build and extend Relativity’s Python-based agent runtime using LangGraph, LangChain, and Deep Agents. Develop orchestration, tool calling, memory, human-in-the-loop review, streaming, checkpointing, protocols, and multi-agent capabilities. Deliver tested, production-ready cloud-native systems with PostgreSQL, Azure, Docker, and Kubernetes while collaborating with application and applied science teams. Contribute to design reviews and safely move AI capabilities from experimentation into production.

Design, build, operate, and scale cloud-based search infrastructure supporting petabyte-scale, mission-critical workflows. Develop maintainable backend software, troubleshoot production issues, improve reliability, observability, automation, capacity planning, and operational readiness, and participate in on-call support. Collaborate with engineering, SRE, product, and architecture teams to evolve the search platform roadmap and establish engineering standards.

Design and build Relativity’s agent runtime and AI platform foundations using Python and agentic AI frameworks. Develop orchestration, tool calling, state management, memory, protocol support, reusable abstractions, and cloud-native services. Collaborate with engineering teams to establish scalable platform capabilities, evaluate emerging agent architectures, and support reliable LLM system upgrades across products.

Provides senior legal counsel on AI, product development, marketing, legal technology, technology transactions, and emerging regulations. Advises Product, Engineering, Marketing, Partner, Customer Success, and Strategy teams; drafts policies and agreement terms; negotiates vendor, open-source, collaboration, and customer agreements; supports product launches and go-to-market strategies; and translates complex AI laws into practical business guidance.