
51 - 200 employees
Founded 2017
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
<Malbek> Malbek is an enterprise-grade, AI-augmented contract lifecycle management (CLM) platform that centralizes contract creation, execution, analysis, and integrations. The platform offers modules for CLM, AI-driven insights and recommendations, clickwrap agreements, and a no-code integrations marketplace, targeting legal, procurement, sales, and finance teams at large organizations to accelerate contracting velocity, reduce risk, and improve operational collaboration.
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51 - 200 employees
Founded 2017
☁️ SaaS
🏢 Enterprise
🤖 Artificial Intelligence
SaaS • Enterprise • Artificial Intelligence
<Malbek> Malbek is an enterprise-grade, AI-augmented contract lifecycle management (CLM) platform that centralizes contract creation, execution, analysis, and integrations. The platform offers modules for CLM, AI-driven insights and recommendations, clickwrap agreements, and a no-code integrations marketplace, targeting legal, procurement, sales, and finance teams at large organizations to accelerate contracting velocity, reduce risk, and improve operational collaboration.
• Lead and support customer implementations of AI-enabled CLM solutions from discovery through deployment • Gather and analyze customer requirements and translate business processes into platform configurations • Advise on best practices, phased rollout, dependencies, risks, and scope • Maintain clear implementation documentation • Configure CLM solutions, workflows, templates, and AI-enabled capabilities • Serve as a trusted technical advisor throughout the implementation lifecycle • Troubleshoot implementation challenges and collaborate with internal teams to resolve issues • Develop, test, and refine prompts for AI-driven contract analysis, metadata extraction, document review, search, and automation • Evaluate AI outputs and optimize prompts for accuracy, consistency, and customer outcomes • Create and maintain reusable prompt libraries, documentation, and best practices • Support customer data migration, including data mapping, transformation, validation, and quality assurance • Analyze contract data and identify data quality issues or configuration requirements • Partner with customers to ensure accurate migration and platform adoption • Deliver customer training and knowledge transfer on CLM functionality and AI-enabled capabilities • Build relationships with customer stakeholders and provide consultative guidance • Collaborate with Customer Success, Product, and Engineering teams to improve customer outcomes • Contribute to implementation methodologies, documentation, and continuous improvement initiatives
• 2–5 years of hands-on experience implementing Contract Lifecycle Management (CLM) solutions • Experience in Professional Services, Customer Success, Implementation Consulting, or Solutions Consulting • Proven experience supporting enterprise SaaS implementations and customer-facing technical projects • Experience configuring CLM solutions, workflows, templates, metadata, and business processes • Experience developing, testing, and optimizing prompts for generative AI applications and large language models (LLMs) • Practical exposure to generative-AI use cases, including prompt/instruction design, clause analysis, metadata extraction, or summarization • Experience evaluating AI outputs • Experience supporting data migration activities, including data mapping, transformation, validation, and quality assurance • Strong understanding of contract lifecycle processes, contract data, document structures, and workflow automation • Strong analytical and problem-solving skills • Excellent verbal and written English communication skills • Experience working directly with U.S.-based customers • Ability to work U.S. Eastern Time (EST) business hours from India • Experience with APIs, JSON, SQL, XML, or data integration concepts is a plus • Strong consulting mindset and ability to communicate technical concepts to technical and business audiences • Strong organizational skills and ability to manage multiple customer initiatives • Comfortable working in a fast-paced SaaS environment
• Customer training and knowledge transfer opportunities • Exposure to emerging generative AI capabilities and trends • Collaboration with Customer Success, Product, and Engineering teams • Contribution to implementation methodologies, documentation, and continuous improvement initiatives
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