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Lead multi-year product strategy and roadmaps for a major platform area, prioritize reusable platform services, partner with engineering and cloud teams for scalability and reliability, participate in API and architecture decisions, integrate AI/ML capabilities, drive go-to-market launches, track product success metrics, and align stakeholders across the organization.

Own roadmap and strategy for core platform capabilities (APIs, services, observability, developer experience, AI infrastructure). Partner with engineering, SRE, and go-to-market teams to deliver scalable, highly available platform features, drive reuse, and articulate platform vision to stakeholders.

Act as a technical lead in pre-sales, advising clients on iManage solutions, designing demonstrations, and collaborating with technical teams. Manage client relationships and mentor team members while staying updated on industry trends.

The Account Manager will oversee relationships with corporate legal clients, driving revenue retention and expansion by identifying opportunities and guiding product adoption.

Lead revenue strategy and execution for mid and large law segments. Own segment targets, forecasting, talent development, territory planning, pipeline governance, and cross-functional partnerships to drive scalable growth and market expansion.

As a Senior Account Manager, you'll manage a portfolio of mid-market law firm accounts, focusing on revenue growth and client retention by leveraging deep legal tech expertise and driving strategic account plans, cross-sell opportunities, and executive relationships.

As a Senior NLP Data Engineer, you will design and optimize data pipelines, automate workflows, and support machine learning systems, focusing on unstructured text data.

The Senior Site Reliability Engineer will focus on automating infrastructure, enhancing cloud resilience, supporting deployments, and mentoring teams in reliability best practices, while participating in on-call rotations.

Build and deploy production-scale AI/LLM systems: own ML lifecycle from model development to serving, optimize GPU/Kubernetes deployments, design LLM applications and APIs with monitoring, apply CI/CD and version tracking, collaborate with product teams, and contribute to AI engineering best practices.

Lead and scale a partner ecosystem for an enterprise legal SaaS platform: recruit and close commercial agreements with technology partners, drive joint GTM programs that produce integrations and royalty revenue, own team forecast and portfolio revenue, manage and develop Partner Account Managers, govern strategic partner relationships, and align internal field teams to co-sell and operationalize partner solutions.