Technology Director

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of end-to-end pre-sales processes for enterprise CLM opportunities, encompassing discovery, proof-of-concept, and proposal stages.

• Create engaging, customized solution architectures that effectively tackle intricate procurement, legal, and commercial contracting issues.

• Develop and present executive-level business cases that showcase the measurable ROI of AI-driven contract intelligence solutions.

• Conduct live demonstrations and proof-of-concepts of Icertis ICI and its AI Copilot features for audiences that include IT teams and CXOs.

• Clearly explain Icertis' Generative AI and LLM-based capabilities — such as automated clause suggestions, contract risk evaluation, and obligation management — to both technical and business audiences.

• Strategically position AI-native CLM features in a competitive manner, while remaining ahead of emerging trends in contract intelligence and legal technology.

• Provide guidance to customers on AI governance, responsible AI implementation, and considerations related to data privacy in enterprise settings.

• Utilize agentic AI frameworks to demonstrate how autonomous workflows can revolutionize procurement and contracting processes.

• Design and present integration architectures that connect ICI with CRM (Salesforce), ERP (SAP, Oracle), and middleware solutions like Boomi and MuleSoft.

• Lead technical discussions regarding Microsoft Azure cloud deployments, including Azure Commercial and Azure Government Cloud environments.

• Offer advice on integrating Azure AI Services — including Azure OpenAI, AI Search, and Document Intelligence — to enhance platform functionalities.

• Engage in discussions about data platforms such as Snowflake, Databricks, and Microsoft Fabric concerning AI and analytics applications.

• Communicate effectively with a diverse range of audiences, from business users and procurement leaders to CTOs, CPOs, CLOs, and CFOs.

• Collaborate with product, engineering, and customer success teams to share field insights and shape the product development roadmap.

• Work alongside regional sales teams in various geographical locations to drive pipeline growth and expedite deal closure.

• Mentor junior solution engineers and contribute to the ongoing development of pre-sales best practices and training materials.

⛳️ Requirements

• Over 14 years of industry experience, including at least 5 years in a pre-sales or solution engineering role for enterprise software or SaaS products.

• Proven experience in designing enterprise-level solutions, creating value propositions, and constructing executive-level business cases.

• Demonstrated ability to convert complex AI and technology capabilities into clear, compelling business results for executive-level stakeholders.

• Strong understanding of Microsoft Azure cloud services (Commercial and/or Government); hands-on experience with Azure AI Services is highly preferred.

• Familiarity with enterprise integration platforms such as Boomi, MuleSoft, or equivalent; knowledge of API-first and event-driven architectures is essential.

• Comprehensive knowledge of CRM (e.g., Salesforce) and ERP (e.g., SAP, Oracle) systems and their integration points.

• Excellent skills in presentation, written, and verbal communication — including the delivery of live demos and executive storytelling.

• Ability to perform well under pressure, manage multiple concurrent projects, and collaborate effectively with global, distributed teams.

• Experience or familiarity with SAP Suite of systems will be an added advantage.

• Practical knowledge of Generative AI, LLMs, and their enterprise applications (e.g., Azure OpenAI, Copilot, RAG architectures).

• Understanding of AI/ML concepts — including NLP, document classification, semantic search, and predictive analytics — as they relate to enterprise workflows.

• Domain expertise in procurement, sourcing, legal operations, or sales contracting; knowledge of CLM platforms is a significant plus.

• Working knowledge of data platforms like Snowflake, Databricks, or Microsoft Fabric in the context of AI and analytics.

• Familiarity with AI governance, responsible AI frameworks, and compliance with data privacy regulations (GDPR, CCPA, etc.).

• Experience in contract lifecycle management, legal technology, or enterprise compliance solutions.

🏝️ Benefits

• Comprehensive medical (including physical, mental, vision, and dental) benefits.

• Employee Assistance Program (EAP).

• Equity (RSUs) and shared ownership in the company.

• Generous 401K matching.

• Flexible working environment.

• Paid maternity and paternity leave.

• Generous holiday and PTO policy.

• Coaching as a Service (CaaS).

• Annual personal development allowance.

• 7 Days for Humanity – 7 paid volunteer days each year.

• Global and regional DEIB steering committees, along with employee resource groups (ERGs).

• Global DEIB training programs and guest speakers throughout the year.