Agiloft

Principal Solution Consultant

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Job Description

Position Overview

As a Principal Solution Consultant, you will serve as a subject matter expert in the Agiloft platform, the broader CLM market, and emerging AI-driven capabilities transforming contract management. You will partner closely with Account Executives to develop and execute sales strategies that align to customer business outcomes across enterprise accounts.

This role requires a blend of domain expertise, technical depth, business acumen, and the ability to leverage modern AI tools to accelerate presales execution, enhance storytelling, and improve deal outcomes.



Job Responsibilities
  • Partner with Account Executives to technically qualify and progress new sales opportunities
  • Act as a trusted advisor to customers by aligning platform capabilities to business and strategic outcomes
  • Lead discovery, solution design, and value articulation across complex enterprise sales cycles
  • Build and deliver tailored product demonstrations aligned to key business drivers and functional requirements
  • Manage and lead Proof of Concept (POC) engagements with clear success criteria and measurable outcomes
  • Support the creation of high-quality proposals, RFP/RFI responses, and customer-facing deliverables
  • Leverage modern AI tools (e.g., ChatGPT, Claude, generative AI platforms) to accelerate content creation, solution design, and insight generation
  • Apply knowledge of machine learning (ML), natural language processing (NLP), and AI-driven workflows to position differentiated solutions and educate customers
  • Collaborate with Product and Engineering teams to provide structured customer feedback and influence roadmap priorities
  • Develop reusable assets, demo environments, and enablement materials to scale the Solution Consulting organization
  • Contribute to thought leadership and internal enablement on AI in CLM and enterprise software
  • Foster a high-performance, collaborative, and customer-centric team culture
  • Other duties as assigned

  • Required Qualifications
  • Demonstrated experience engaging with executive stakeholders (including CXO-level) and articulating enterprise software value propositions
  • Strong understanding of CLM, legal tech, procurement, or adjacent enterprise software domains
  • Deep knowledge of modern systems architecture, including cloud-native platforms, integrations, and APIs
  • Proven expertise in value-based selling, solution design, and delivering compelling product demonstrations
  • Experience leading customer pilots and Proof of Concept (POC) engagements
  • Excellent communication, storytelling, and presentation skills with the ability to translate complex concepts into clear business value
  • Hands-on familiarity with modern AI tools and technologies, including generative AI platforms (e.g., ChatGPT, Claude), and a working understanding of ML/NLP concepts
  • Strong problem-solving skills and ability to operate in fast-paced, ambiguous environments
  • Willingness to travel (up to 30%)

  • Preferred Qualifications
  • Prior experience in Solution Consulting, Sales Engineering, or Consulting roles within CLM or enterprise SaaS
  • Experience with platforms such as Salesforce, Microsoft Dynamics, or enterprise systems including CLM, Procurement, Sourcing, CPQ, or Matter Management
  • 7+ years of relevant experience in enterprise software, presales, or consulting roles
  • Familiarity with AI-driven use cases in legal, procurement, or workflow automation domains
  • Experience building business cases, ROI models, or value frameworks
  • Previous leadership or mentorship experience (team lead, player-coach, or informal leadership roles)
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    What Success Looks Like
  • Drives higher win rates and larger deal sizes through differentiated solution positioning
  • Accelerates time-to-value in presales through effective use of AI tools and reusable assets
  • Influences customer strategy and decision-making as a trusted advisor
  • Elevates the broader Solution Consulting team through enablement and best practice sharing