The NetSuite Administrator will manage, optimize, and enhance the company's NetSuite ERP system to support operational growth. Responsibilities include overseeing system configuration, providing user support, ensuring data integrity, and collaborating on process improvements.
The AI Operations Analyst will lead the design, deployment, and maintenance of AI agent solutions while bridging the gap between business requirements and technical execution. Responsibilities include prompt engineering, system integration, performance monitoring, and providing technical support to end-users.
You will design, build, and operate intelligent agent systems end-to-end on an AWS-native GenAI platform. This includes creating agent workflows, RAG architectures, and maintaining high standards for reliability and operational practices.
You will set the technical direction for AI at HotDocs, designing and delivering new AI-powered enterprise features from prototype to production. Additionally, you will lead AI adoption across the software development lifecycle and mentor the engineering team to improve technical excellence.
Lead the strategy, design, and execution of technology-enabled Legal Managed Bill Review services with an AI-forward mindset. Collaborate with engineering, design, and enterprise clients to define roadmaps and deliver smarter, more efficient workflows.
You will own a significant portion of the AI program, driving it from initial strategy and roadmap through to production and general availability. You will collaborate closely with engineering and design teams to translate complex, ambiguous problems into clear, actionable product outcomes.
Lead the global talent acquisition function by designing and scaling a standardized recruiting operation across North America, India, and the UK. Drive the digital transformation of the function through the adoption of AI, automation, and data-driven process optimization.
Drive technical direction for product domains and lead the organization's adoption of agentic AI tools and practices. Reduce systemic complexity through architectural debt remediation and mentor teams to elevate engineering craft.
Lead the Customer Success function to achieve recurring revenue retention targets within the background screening client base. Develop and execute retention strategies while collaborating cross-functionally to optimize product adoption and operational performance.
Design and operate multi-agent workflows and end-to-end RAG systems to deliver production-grade AI solutions. Own the full deployment lifecycle including AI infrastructure on AWS, evaluation frameworks, and CI/CD pipelines.
Lead the AI Quality & Governance function by building platforms for AI observability, evaluations, and policy enforcement. This hands-on role involves writing production code and establishing standards for production-ready AI across the organization.
The role involves transferring data from various sources into databases and spreadsheets while ensuring accuracy and confidentiality. Responsibilities include updating records, summarizing data for reports, and maintaining secure backups.
