As the Technology Director - Solution Advisory, you will be at the forefront of our solution engineering efforts, shaping the future of contract lifecycle management (CLM) with AI integration. Your role is pivotal in translating complex technical capabilities into tangible business solutions for our global clientele. You will collaborate closely with C-suite executives, understanding their unique challenges and crafting innovative strategies to address them.
Icertis is the global leader in AI-powered contract intelligence. The Icertis platform revolutionizes contract management, equipping customers with powerful insights and automation to grow revenue, control costs, mitigate risk, and ensure compliance - the pillars of business success. Today, more than one third of the Fortune 100 trust Icertis to realize the full intent of millions of commercial agreements in 90+ countries.
Required
14+ years of industry experience, with a minimum of 5 years in a pre-sales or solution engineering capacity for enterprise software or SaaS products
Demonstrated expertise in designing enterprise solutions, crafting value propositions, and building executive-level business cases
Proven ability to translate complex AI and technology capabilities into clear, compelling business outcomes for executive audiences
Strong proficiency in Microsoft Azure cloud offerings (Commercial and/or Government); hands-on exposure to Azure AI Services highly valued
Experience with enterprise integration platforms such as Boomi, MuleSoft, or similar; familiarity with API-first and event-driven architectures
High-level knowledge of CRM (e.g., Salesforce) and ERP (e.g., SAP, Oracle) systems and their integration touchpoints
Excellent presentation, written, and verbal communication skills - including live demo delivery and executive storytelling
Ability to thrive under pressure, manage multiple concurrent engagements, and collaborate effectively across global, distributed teams
Preferred
Familiarity or hands on with SAP Suite of systems will be an added advantage.
Hands-on familiarity with Generative AI, LLMs, and their enterprise applications (e.g., Azure OpenAI, Copilot, RAG architectures)
Understanding of AI/ML concepts - NLP, document classification, semantic search, predictive analytics - as applied to enterprise workflows
Domain experience in procurement, sourcing, legal operations, or sales contracting; CLM platform knowledge is a significant advantage
Working knowledge of data platforms such as Snowflake, Databricks, or Microsoft Fabric in AI/analytics contexts
Familiarity with AI governance, responsible AI frameworks, and enterprise data privacy regulations (GDPR, CCPA, etc.)
Background in contract lifecycle management, legal tech, or enterprise compliance technology
OTE: $190,000 -220,000 OTE
Pay offered will vary based on job-related factors such as location, experience, training, skills, and abilities. In addition to the base salary and annual sales target incentive bonus, an equity component is included in the compensation package.
Our Commitments: Icertis is committed to:
What we offer:
Pre-Sales Leadership & Solution Engineering
Lead and own end-to-end pre-sales engagements for enterprise CLM deals, from discovery to proof-of-concept to proposal
Design compelling, tailored solution architectures that address complex procurement, legal, and commercial contracting challenges
Build and deliver executive-level business cases, demonstrating quantifiable ROI of AI-powered contract intelligence
Deliver live demos and POCs of Icertis ICI and its AI Copilot capabilities to audiences ranging from IT teams to CXOs
AI & Emerging Technology Evangelism
Articulate Icertis'' Generative AI and LLM-based capabilities - including automated clause recommendations, contract risk scoring, and obligation tracking - to both technical and business stakeholders
Position AI-native CLM features competitively, staying ahead of market trends in contract intelligence and legal tech
Guide customers on AI governance, responsible AI adoption, and data privacy considerations in enterprise deployments
Leverage agentic AI frameworks to illustrate how autonomous workflows can transform procurement and contracting operations
Technical Architecture & Integration
Design and present integration architectures connecting ICI with CRM (Salesforce), ERP (SAP, Oracle), and middleware platforms such as Boomi and MuleSoft
Lead technical conversations on Microsoft Azure cloud deployments, including Azure Commercial and Azure Government Cloud environments
Advise on Azure AI Services integration - including Azure OpenAI, AI Search, and Document Intelligence - to enhance platform capabilities
Engage with data platform discussions involving Snowflake, Databricks, and Microsoft Fabric in the context of AI and analytics use cases
Stakeholder Engagement & Collaboration
Engage confidently with diverse audiences - from business users and procurement leads to CTOs, CPOs, CLOs, and CFOs
Collaborate with product, engineering, and customer success teams to relay field insights and influence the product roadmap
Partner with regional sales teams across geographically distributed environments to drive pipeline and accelerate deal velocity
Mentor junior solution engineers and contribute to the continuous development of pre-sales best practices and enablement assets
Pre-Sales Leadership & Solution Engineering
Lead and own end-to-end pre-sales engagements for enterprise CLM deals, from discovery to proof-of-concept to proposal
Design compelling, tailored solution architectures that address complex procurement, legal, and commercial contracting challenges
Build and deliver executive-level business cases, demonstrating quantifiable ROI of AI-powered contract intelligence
Deliver live demos and POCs of Icertis ICI and its AI Copilot capabilities to audiences ranging from IT teams to CXOs
AI & Emerging Technology Evangelism
Articulate Icertis'' Generative AI and LLM-based capabilities - including automated clause recommendations, contract risk scoring, and obligation tracking - to both technical and business stakeholders
Position AI-native CLM features competitively, staying ahead of market trends in contract intelligence and legal tech
Guide customers on AI governance, responsible AI adoption, and data privacy considerations in enterprise deployments
Leverage agentic AI frameworks to illustrate how autonomous workflows can transform procurement and contracting operations
Technical Architecture & Integration
Design and present integration architectures connecting ICI with CRM (Salesforce), ERP (SAP, Oracle), and middleware platforms such as Boomi and MuleSoft
Lead technical conversations on Microsoft Azure cloud deployments, including Azure Commercial and Azure Government Cloud environments
Advise on Azure AI Services integration - including Azure OpenAI, AI Search, and Document Intelligence - to enhance platform capabilities
Engage with data platform discussions involving Snowflake, Databricks, and Microsoft Fabric in the context of AI and analytics use cases
Stakeholder Engagement & Collaboration
Engage confidently with diverse audiences - from business users and procurement leads to CTOs, CPOs, CLOs, and CFOs
Collaborate with product, engineering, and customer success teams to relay field insights and influence the product roadmap
Partner with regional sales teams across geographically distributed environments to drive pipeline and accelerate deal velocity
Mentor junior solution engineers and contribute to the continuous development of pre-sales best practices and enablement assets
| Location | NY |
| Salary | $190,000–$220,000 Per Year |