Top Tech Jobs & Startup Jobs in Chicago, IL

Owns new business sales for law firm accounts, including territory planning, outbound prospecting, discovery, solution selling, negotiation, contracting, forecasting, and closing. Builds relationships with legal, IT, operations, and executive stakeholders while positioning SaaS, cloud, and AI solutions. Maintains Salesforce and MEDDPICC discipline, manages complex sales cycles, monitors competitors, and shares market insights internally.

Design, develop, test, and improve secure, scalable software for Relativity’s cloud-based SaaS platform. Build REST APIs and distributed systems that process massive datasets, contribute to unit and integration testing, participate in pair programming, improve development processes, and collaborate with software engineering teams. The role focuses on the Enrichment product, including document processing, data extraction, scalability, and modern cloud technologies.

Lead complex, enterprise-wide technical and business projects from discovery through delivery. Manage integrated plans, timelines, dependencies, risks, resources, stakeholders, and executive communications across IT, Finance, and operations. Lead IT General Controls initiatives, audit readiness, cross-functional testing, financial systems projects, and process improvements. Help strengthen project governance and delivery practices while supporting the organization’s transition toward broader PMO and program leadership responsibilities.

Leads the design, administration, governance, and roadmap for cloud-based financial systems supporting accounting, billing, revenue recognition, reporting, budgeting, and international operations. Oversees financial data integrity, SOX and IT general controls, system integrations, AI-enabled finance workflows, usage-based billing processes, and data lake initiatives. Partners cross-functionally with IT, security, auditors, and finance teams while managing vendors, budgets, projects, acquisitions, and team development.

Leads a technical product support team in a 24/7 operation, overseeing ticket resolution, SLA and KPI performance, scheduling, escalations, hiring, coaching, and professional development. Drives AI adoption, collaborates with Product and Engineering on technical issues, and identifies process improvements. Requires technical support leadership, SaaS troubleshooting knowledge, experience with Salesforce and Jira, and strong communication skills.

Leads enterprise-wide, cross-functional programs from strategy and scoping through execution and measurable outcomes. Builds roadmaps, manages dependencies, budgets, risks, governance, and stakeholder alignment across teams including IT, Finance, and Legal. Influences senior leaders and partners without formal authority, drives decisions, communicates executive updates, and brings structure to ambiguous initiatives. The role also improves program delivery practices and supports organizational transformation in a fast-paced, scaling environment.

Staff AI Engineer responsible for architecting, building, deploying, monitoring, and operating production AI/ML systems and data platforms for data breach response. The role sets AI engineering standards and strategy, leads execution across teams, ensures reliability, scalability, security, and regulatory compliance, and mentors engineers. Responsibilities include designing distributed cloud systems, developing pipelines and evaluation infrastructure, automating operations, managing alerts and root-cause analysis, and communicating technical risks and decisions.

Own outcomes for complex enterprise accounts by driving AI product adoption, workflow transformation, ROI, retention, and expansion. Lead executive relationships, business reviews, change management, governance, and risk remediation. Create adoption playbooks, mentor CSMs, and influence cross-functional product and enablement decisions. Requires customer success, consulting, or account management experience in legal technology, eDiscovery, litigation support, or regulated workflows.

Build and operate production-scale AI systems within a cloud-based legal technology platform. Responsibilities include developing C# and SQL services, deploying AI prototypes, creating evaluation harnesses and data pipelines, monitoring quality, latency, cost, and reliability, diagnosing model failures, improving performance, and collaborating with applied scientists, product teams, and engineers. The role also includes agile delivery, CI/CD, security and compliance, mentoring, and using AI-assisted development tools.

Design, build, test, and improve secure, scalable software systems that process massive datasets. Develop distributed, cloud-based applications, REST APIs, and multi-database solutions while contributing to testing and software lifecycle improvements. Collaborate through agile practices and pair programming, and mentor less experienced engineers. The role emphasizes quality, performance, system design, and modern cloud technologies.