AI Enterprise Architect

gongio; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Gong is seeking an AI Enterprise Architect to partner with Account Executives and Solutions Engineers on high-value enterprise opportunities, focusing on AI architecture, governance, and integrations. The role serves as a trusted advisor to CIOs, CTOs, AI councils, and security and data leaders, shaping solution strategy and guiding build-versus-buy decisions.

You will lead architecture discussions, create reference architectures, and drive executive engagement to demonstrate Gong's capabilities

Qualifications

• Experience leading executive-level AI strategy discussions.
• Hands-on knowledge of AI architecture, governance, and integrations.
• Ability to translate technical concepts into business value for executives.

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.

Skills

AI architecture

Executive engagement

Stakeholder management

Tools

Gong APIs

MCP

OpenAI integration

Job description

Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world's most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io.

At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career.

The AI Enterprise Architect partners with Account Executives and pre‑sales Solutions Engineers on Gong's highest‑value and most technically complex enterprise opportunities, particularly where customers are evaluating how to operationalize AI securely, responsibly, and at scale. The role serves as a trusted technical and business advisor to CIOs, CTOs, Chief AI Officers, AI councils, enterprise architects, data leaders, security leaders, and revenue executives.

You will 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. You will lead advanced AI architecture conversations, reduce technical risk, shape solution strategy, and create differentiated executive engagement. You will 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.

This is not a replacement for core SE coverage. You will be brought into opportunities after product fit has been established, while also scaling the broader SE organization through reusable assets, technical enablement, thought leadership, and external evangelism through channels such as LinkedIn and Medium.

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 A