Local to CA only || Senior Product Manager - CLM / LegalTech / AI || USC, GC, GC-EAD, H4-EAD

[Adarsh Sharma]

Senior Product Manager – CLM / LegalTech / AI

Visa: USC, GC, GC-EAD, H4-EAD
Location: Milpitas, CA (Onsite)--Need LOCAL candidate.
Duration: 6+ months
 

Required Qualifications

• 5+ years of experience as a Product Manager, Product Consultant, or Solutions Consultant in CLM, LegalTech, or Contract Management domains.
• Strong understanding of:
• Contract lifecycle workflows
• Clause libraries and metadata tagging
• Obligation management
• Approval and compliance processes
• Hands-on experience with leading CLM tools such as Icertis, Conga, SirionLabs, Ironclad, Agiloft, ContractPodAI, or similar platforms.
• Strong experience in process mapping, business analysis, and requirements gathering.
• Familiarity with AI/LLM use cases in legal automation is highly preferred.
• Excellent communication and executive stakeholder management skills.
• Consulting or enterprise transformation experience is a plus.

 

Preferred Background

• Experience with Oracle CLM modernization or migration initiatives.
• Exposure to AI/ML-enabled enterprise platforms.
• Prior experience in Fortune 500 digital transformation programs.

 

We are seeking a highly experienced Senior Product Consultant with strong expertise in Contract Lifecycle Management (CLM) platforms and a solid understanding of AI-driven contract automation. This role will lead a discovery engagement for a Fortune 500 client, evaluating current CLM processes and designing a roadmap for a modern, AI-enabled contract management ecosystem.

 

Key Responsibilities

• Lead stakeholder interviews and workshops across legal, procurement, business, and IT teams to understand current pain points, workflows, and desired outcomes.
• Assess the existing Oracle CLM environment and benchmark it against leading CLM platforms such as Icertis, Conga, SirionLabs, Agiloft, Ironclad, and ContractPodAI.
• Conduct current-state process and platform assessments, identifying functional gaps, inefficiencies, and technical limitations.
• Define a future-state CLM strategy, including opportunities for Generative AI, LLMs, and agentic automation.
• Partner with architects and data teams to design AI-powered capabilities such as:
• Clause extraction and classification
• Smart redlining and contract review
• Obligation tracking and compliance monitoring
• Negotiation assistants and automation bots
• Contribute to buy vs. build evaluations and vendor selection frameworks.
• Document business requirements, workflows, and transformation recommendations.