MasterControl Japan

Customer Success Manager

• Primarily responsible for ensuring retention of existing customers, and identification of expansion opportunities
• Create value for clients by ensuring high adoption rates and optimal use of MasterControl products
• Grow the value of MasterControl by maintaining industry leading retention of customer accounts
• Coordinate product coaching and educational needs for customers with Support and Services departments
• Make sure we have highly referenceable clients by ensuring they are recognizing the intended value of their MasterControl solutions
• Build strong relationships with key stakeholders and decision makers at customer accounts and have a strong pulse on issues and growth opportunities
• Be the primary point of contact and escalation point for customers
• Responsible for client renewals and churn risk mitigation
• Provide valuable, innovative, and well-thought thorough feedback to Product Management, to help build the next generation of revenue-producing applications and adapt current solutions to meet customer needs
• Maintain a deep understanding of the product and be an effective consultant/advisor, helping clients maximize the use of MasterControl solutions
• Be the voice of the client and advocate their needs internally at MasterControl
• Conduct regular account reviews with customer stakeholders, decision makers, and execs
• Identify and communicate expansion opportunities to Sales
• Manage customer account information including contacts, system administrators, products in use, executive contacts, and product champions inside of Salesforce
• Work closely with R&D and Support on identification and tracking of enhancement requests and defects, and effectively communicate status back to clients as needed
• Must be willing to work EMEA/ UK hours

Customer Success Manager – 12 Month Temp

Artificial Intelligence

• Build and scale AI-enabled workflows: Design and build AI-enabled processes that bridge product, engineering, and UX through hands-on context engineering (Claude, custom GPTs, prompt frameworks, workflow automations). Partner with engineering to integrate product context into their development flow, creating sophisticated, context-aware AI workflows tailored to different team needs.
• Enable teams and drive adoption: Develop and evangelize best practices for how product and UX teams leverage AI across discovery, research synthesis, problem framing, and stakeholder communication. Design AI-focused enablement programs, drive adoption through influence and training, and create templates and playbooks that incorporate AI into every process.
• Strengthen product operations: Identify and drive process improvements through the lens of AI for prioritization, roadmapping, stakeholder communication, and strategy work. Own and optimize our product tooling ecosystem (Jira, Figma, Pendo, Atlassian, Airfocus, Lucid, Condens, Replit) and evaluate/pilot new AI tooling.
• Lead strategic change and measure impact: Build business cases for process and tool changes, secure executive buy-in, and design change management strategies balancing quick wins with long-term transformation. Own measurement and ROI by establishing metrics, tracking adoption, and measuring impact on rework reduction and alignment.

Principal Product AI Transformation

Data Engineer

• Provide architectural leadership for data solutions, data architectures, data warehousing, strategic data design, and infrastructure initiatives.
• Design and develop high volume data ingestion components and ETL solutions to collect data from various internal and external sources.
• Define a robust and extensible data architecture and plan for iterative implementation.
• Architect and guide the development of Proof-of-Concept projects to validate data designs and solutions.
• Architect for performant, durable, and scalable cloud-centric data models and validation supporting ever-evolving data versions and layouts.
• Design and enhance our cloud-based data analytics solutions to address AI/ML, data insights, security, privacy, and reliability concerns.
• Architect for agentic coordination and data discovery
• Design systems that enable AI governance, security and auditability
• Architect the overall data strategy including security, data models, data infrastructure, software selection, and performance.
• Understand existing databases, warehouses, and lake structures to drive the evolution of our current practices.
• Create technical design documentation which includes current and future functionality, database/data storage, specifications, flow, and diagrams.
• Help determine data storage based on the use case (relational, document, NoSQL, vector, graph, etc.)
• Collaborate and work with Cloud/Security architects and subject matter experts (SMEs).
• Ensure data quality and controls are in place to support various data ingestion inflows and outflows processes.
• Mentor Data Platform team members.

Customer Success Manager – 12 Month Temp

Principal Product AI Transformation

Data Architect