Noetica | Comunicazione e Web Marketing

Customer Success Manager

• Lead onboarding sessions and training calls for assigned legal industry clients
• Coordinate internal handoff from Sales and ensure implementation milestones are clearly tracked
• Deliver clear, engaging product walkthroughs and training for end-users and admins
• Own the post-onboarding relationship and serve as the day-to-day point of contact for 5-10 client accounts
• Conduct regular check-ins, surface product feedback, and drive adoption
• Maintain up-to-date onboarding materials, milestone trackers, and usage reports
• Track usage data and account health in collaboration with senior CSMs
• Flag risks early in the customer journey and proactively manage client concerns
• Identify expansion or growth opportunities and loop in Sales as needed
• Support renewals and long-term client satisfaction
• Respond to client questions and coordinate enablement support
• Collaborate with senior CSMs and leadership on strategic account plans
• Help streamline onboarding workflows and identify areas for process improvement
• Contribute to internal documentation and client-facing resources

Product Specialist

• Act as a bridge between engineering and sales, becoming an expert in Noetica’s platform and advising deal professionals
• Work hands-on with deal professionals to advise on how Noetica’s platform, data and insights can be utilized on live and historical transactions
• Run teach-ins, training sessions, and demonstrations of platform capabilities and use cases
• Contribute to new model training and quality control by distilling subject-matter expertise into multi-layered AI systems
• Provide critical support to product strategy and direction, advising on key investment areas for new features and capabilities
• Contribute to novel data content production, visualization and distribution, including proprietary content strategy
• Collaborate with cross-functional teams including ML PhDs, legal subject-matter experts, data, security, and product engineers

Platform Engineer

• Design, develop, and operate the shared core data platform infrastructure ensuring high availability and high performance at scale
• Productionize cutting-edge AI/ML research results into data pipelines and build internal systems to enable research experimentation
• Design, develop, and operate performant, highly-available data serving systems to accelerate product development
• Implement elegant, robust, and highly scalable solutions to address complex data processing requirements and performance/efficiency bottlenecks
• Design and develop full observability and monitoring for the data processing platform and ensure dataset reproducibility and traceability
• Proactively scale infrastructure to meet demands of rapidly expanding client-facing products and user base

Customer Success Manager

Product Specialist

Data Platform Engineer