AI Enterprise Architect

About the job

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 credibly within customers' existing AI ecosystems, including Salesforce, Microsoft, Anthropic Claude, OpenAI, and enterprise governance tooling; articulate both 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. Contribute knowledge and content to Gong’s co

Requirements

• Partner with Account Executives and pre-sales Solutions Engineers on Gong's highest-value and most technically complex enterprise opportunities.
• Serve as a trusted technical and business advisor to CIOs, CTOs, Chief AI Officers, AI councils, enterprise architects, data leaders, security leaders, and revenue executives.
• Help customers understand how Gong's AI capabilities, APIs, MCP, Gong Assistant, Deep Research, integrations, and broader platform fit into their enterprise AI strategy, technology ecosystem, and revenue workflows.
• Lead advanced AI architecture conversations, reduce technical risk, shape solution strategy, and create differentiated executive engagement.
• Champion Gong’s cause during “build versus buy” discussions wherein prospects are considering building their own revenue intelligence platforms in lieu of Gong’s commercial offerings.
• Scale the broader SE organization through reusable assets, technical enablement, thought leadership, and external evangelism through channels like LinkedIn and Medium.