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Technology Director

Icertis

Join Icertis as the Technology Director - Solution Advisory, where you will lead our solution engineering efforts in contract lifecycle management (CLM) with AI integration. You will collaborate with C-suite executives, design tailored solution architectures, deliver live demos, and guide customers on AI governance and responsible AI adoption. This role requires strong proficiency in Microsoft Azure cloud offerings, experience in pre-sales or solution engineering, and a background in contract lifecycle management or legal tech.

Lead and own end-to-end pre-sales engagements for enterprise CLM deals, from discovery to proof-of-concept to proposal.

Responsibilities

  • Design compelling, tailored solution architectures that address complex procurement, legal, and commercial contracting challenges.
  • Collaborate closely with C-suite executives, understanding their unique challenges and crafting innovative strategies to address them.

Requirements

  • ▸ Excellent presentation, written, and verbal communication skills — including live demo delivery and executive storytelling
  • ▸ Strong proficiency in Microsoft Azure cloud offerings (Commercial and/or Government); hands-on exposure to Azure AI Services highly valued
  • ▸ Ability to thrive under pressure, manage multiple concurrent engagements, and collaborate effectively across global, distributed teams
  • ▸ Demonstrated expertise in designing enterprise solutions, crafting value propositions, and building executive-level business cases
  • ▸ High-level knowledge of CRM (e.g., Salesforce) and ERP (e.g., SAP, Oracle) systems and their integration touchpoints
  • ▸ 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
  • ▸ Proven ability to translate complex AI and technology capabilities into clear, compelling business outcomes for executive audiences
  • ▸ Experience with enterprise integration platforms such as Boomi, MuleSoft, or similar; familiarity with API-first and event-driven architectures
  • ▸ Hands-on familiarity with Generative AI, LLMs, and their enterprise applications (e.g., Azure OpenAI, Copilot, RAG architectures)

Preferred

  • ▸ Familiarity or hands on with SAP Suite of systems will be an added advantage
  • ▸ 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

Pay

USD 190,000 - 220,000