The Staff Engineer will serve as the technical lead for internal AI operations, evaluating technical options and architecting dependable, reusable AI systems. They will partner across business teams to align on approaches and ensure production reliability for all shipped AI services.
The Senior Customer Success Manager will act as a client advocate to ensure positive business outcomes and manage the customer journey for the Investment Banking vertical. They will collaborate cross-functionally to drive retention, growth, and operational excellence within the client base.
The Senior Product Marketing Manager will lead the go-to-market strategy for AI-native legal services, focusing on positioning, messaging, and cross-functional collaboration to drive revenue. They will serve as the internal subject matter expert, translating complex legal workflows into compelling narratives for the private equity market.
The Senior Account Director will drive revenue growth within existing enterprise accounts by cross-selling and expanding the adoption of AI-powered solutions. They will lead complex sales cycles using the MEDDICC framework while collaborating with Customer Success and Business Development teams.
The Customer Success Director will manage the customer journey, facilitate onboarding, and act as a client advocate to ensure positive business outcomes. They will collaborate cross-functionally with sales, product, and legal teams to maintain high levels of customer satisfaction and retention.
The Director of AI Operations will lead a centralized unit to guide departments in executing AI initiatives and developing a strategic automation roadmap. They will also manage AI governance, security, and the internal tool stack while fostering a community of practice for AI adoption.
Lead and expand the UX organization while driving the AI-ification of design practices to deliver intuitive product experiences. Collaborate with product and engineering leadership to steer strategy and uphold high standards of design quality.
This role involves designing and owning an AI-native content operating system to transform how content is created, distributed, and measured, aligning strategy with persona-level buying journeys. Responsibilities include architecting AI-enabled workflows, setting editorial standards, elevating executive voices, and managing content performance tied to pipeline impact.
