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Gong.io

AI-driven revenue intelligence from conversations

AI Enterprise Architect

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 5 years of experience in enterprise architecture, solution architecture, sales engineering, consulting, AI strategy, or a comparable customer-facing technical leadership role.
  • Experience working with large, complex enterprises and engaging CIOs, CTOs, Chief AI Officers, enterprise architects, security leaders, data leaders, and executive stakeholders.
  • Demonstrated expertise in generative AI, large language models, AI agents, MCP, APIs, integrations, data flows, vibe coding, and enterprise software architecture.
  • Practical familiarity with leading AI platforms and ecosystems, such as OpenAI, Anthropic Claude, Gemini, Google Vertex, Salesforce, Microsoft, and related enterprise AI technologies.
  • Experience discussing AI governance, responsible AI, data privacy, identity and access management, security, compliance, observability, auditability, and enterprise deployment considerations.
  • Proven ability to lead architecture workshops and translate ambiguous business needs into clear, executable technical designs.
  • Experience advancing complex enterprise opportunities through technical discovery, security reviews, RFPs, pilots, and proofs of concept.
  • Ability to translate AI capabilities into practical, measurable outcomes for revenue organizations.

Responsibilities

  • Partner with Account Executives and Solutions Engineers on strategic enterprise opportunities involving AI architecture, governance, integrations, and complex technical requirements.
  • Lead executive-level discovery, AI strategy discussions, architecture assessments, and technical design workshops with CIO, CTO, AI council, security, data, and enterprise architecture stakeholders.
  • Understand customers' AI ambitions, business objectives, technology stack, data environment, security requirements, governance models, integration landscape, and revenue workflows.
  • Architect how Gong can be used within and alongside a customer's AI ecosystem, including through Gong APIs, MCP, Gong Assistant, Deep Research, integrations, and workflow automation.
  • Advise customers on practical AI use cases that improve revenue-team productivity, effectiveness, and operational efficiency, including responsible adoption and effective credit usage.
  • Show thought leadership on AI architectures and guide customers on best practices for using Gong data and capabilities in AI-enabled and vibe-coded applications.
  • Assess customer requirements around data governance, data residency, identity and access management, agent permissions, auditability, human-in-the-loop controls, agent guardrails, and enterprise AI risk.
  • Develop financially rigorous AI value hypotheses and technical validation plans that help customers assess build-versus-buy choices, total cost of ownership, adoption economics, and measurable ROI.
  • Position Gong within customers' existing AI ecosystems, including Salesforce, Microsoft, Anthropic Claude, OpenAI, and enterprise governance tooling; articulate better-together integration patterns and clear product boundaries.
  • Create and present customer-specific AI reference architectures, integration patterns, technical roadmaps, validation plans, risk registers, and implementation recommendations.
  • Act as the senior technical voice in complex pursuits, including executive presentations, security and architecture reviews, RFPs, proofs of concept, and technical win plans.
  • Translate complex AI concepts, technical tradeoffs, and product boundaries into clear business value for executive and technical audiences.
  • Partner with Product, Engineering, Product Marketing, Professional Services, Support, and Customer Success to ensure customer requirements are represented and solution designs are feasible to implement and operate.
  • Develop reusable field assets, including AI discovery frameworks, CIO architecture narratives, governance guidance, integration patterns, demo narratives, and objection-handling materials.
  • Enable Solutions Engineers and account teams on AI positioning, enterprise AI conversations, advanced solution design, CIO persona engagement, and complex-deal execution.
  • Bring structured market feedback to Product and Engineering, identifying recurring enterprise governance, observability, compliance, control, and adoption requirements.
  • Serve as a competitive expert capable of representing Gong versus other vendors’ AI offerings and contribute knowledge and content to Gong’s competitive team.

Desired Qualifications

  • Strong executive communication, influence, and storytelling skills, with the ability to move comfortably between C-suite conversations and detailed technical design.
  • Strong collaboration skills and a demonstrated ability to enable and scale the impact of a broader technical field organization.

About the Company

Gong.io

AI-driven revenue intelligence from conversations

Gong builds a revenue intelligence platform that analyzes every customer interaction to help sales teams win more deals. It records, transcribes, and analyzes calls, video meetings, emails, and chats to surface insights on deal health, sales tactics, and buyer/competitor trends. Using AI, it provides Deal Intelligence, People Intelligence, and Market Intelligence, flags risks, coaching opportunities, and next-best-action recommendations, and integrates with CRM, email, and collaboration tools. The goal is to turn conversations into data-driven actions to improve forecasting, coaching, and go-to-market decisions for mid-to-large enterprises.

Company size
1,001-5,000
Company stage
Series E
Total funding
$586M
Headquarters
San Francisco, CA
Founded
2015

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