Jobs at InfoTrack US

Provides hands-on internal IT and helpdesk support, troubleshooting hardware, software, access, and connectivity issues. Administers Microsoft 365, Active Directory, Azure, Windows Server, networks, phone systems, and security tools. Manages equipment inventory and employee onboarding, supports automated workflows, contributes to infrastructure projects, and participates in an after-hours on-call rotation. The role is hybrid in New York City, requiring at least three office days per week.

Lead product vision and execution for InfoTrack, consolidating multiple product lines into a unified, scalable legal-tech platform. Drive large commercial product launches, AI-first innovation, UX modernization, and market expansion while partnering with engineering, security, compliance, and P&L owners. Represent product externally and ensure disciplined, outcome-driven product management.

Develop and maintain InfoTrack's cloud-based web applications. Build backend services, integrate with third-party SOAP/REST APIs, implement features, write high-quality code, collaborate in Agile teams, and support automated testing and full-stack development.

Design and scale C#/.NET backend microservices for AI-powered document extraction, e-filing, and workflow automation. Integrate LLM and OCR tools, improve observability and performance, collaborate with product and partners, and ensure quality through testing, code reviews, and process improvements.

Lead and unify multi-product engineering into a single scalable, secure platform. Drive platform, infrastructure, security, AI/ML integration, re-platforming, CI/CD, DevSecOps, SRE, observability, and organizational scaling while partnering with executive stakeholders to accelerate delivery and reliability.

Leads the Business Intelligence and Revenue Analytics function, balancing team management with hands-on analysis. Develops dashboards, KPI frameworks, forecasts, and reporting for Sales, Marketing, Revenue Operations, and executives. Partners with Data Engineering on data models, pipelines, governance, and quality. Translates business needs into analytical solutions, delivers actionable insights, manages the analytics roadmap, prioritizes initiatives, and coaches a small team.