Technology Director
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Job Description
Technology Director shaping AI integration in contract lifecycle management for diverse global clientele. Collaborating with C-suite executives to craft innovative business solutions.
Responsibilities:
- 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
- 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
- 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
- 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
Requirements:
- 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
- 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
Benefits:
- Robust medical (physical & mental vision and dental benefits
- Employee assistance program (EAP)
- Equity (RSUs) and shared ownership in the company
- Generous 401K match
- Flexible work environment
- Paid maternity and paternity leave
- Generous holiday and PTO program
- CaaS (coaching as a service)
- Annual personal development allowance
- 7 Days for Humanity – 7 paid volunteer days annually
- Global and regional DEIB steering committees, employee resource groups (ERGs)
- Global DEIB training programs and guest speakers throughout the year
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