Technology Director

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iCert Global

WebsiteLinkedInAll Job Openings

51 - 200 employees

📚 Education

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

iCert Global is a professional certification training provider that offers a wide array of courses across various domains, including project management, business analysis, IT service management, agile and scrum strategies, quality management, cloud technology, and cybersecurity. The company provides instructor-led online classes, e-learning options, and corporate training programs designed to empower individuals and enterprises. Through globally recognized certification courses, iCert Global aims to help learners advance their careers and stay competitive in a fast-evolving job market.

📋 Description

• 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