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Technology Director

DirectorDirectorFull TimeRemoteLeadTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$190K - $220K / year

Seniority

Lead

Bachelor Degree14 yrs expEnglishAzureCloudERPOracle

Job Description

Technology Director

iCert Global

• 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

Job 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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