AI Enterprise Architect

🕒 October 29

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 IT Support

Where this job comes from

Posted on Gong's careers page, not through a job board

First seen by Remote Rocketship October 29

Still open on Gong's site. Checked 2 hours ago.

Logo of Gong

Gong

1001 - 5000 employees

💼 Consulting

📣 Marketing

☁️ SaaS

💰 Secondary Market on 2022-07

Consulting • Marketing • SaaS

Gong is the leading AI platform for revenue transformation, aimed at boosting win rates, increasing average deal size, and enhancing revenue per representative. Its AI-driven solutions provide unparalleled insights into sales pipelines and customer interactions, enabling teams to achieve precise forecasting and superior deal execution. Gong supports a range of enterprise-level integrations, offering advanced features like Gong AI, Gong Data Engine, and Gong Forecast. The platform is trusted by companies worldwide to enhance their revenue processes and deliver consistent growth across sales, marketing, and customer success operations. With an emphasis on high performance and strategic insights, Gong is a cornerstone for numerous sales teams looking to transform their revenue potential through cutting-edge AI technologies.

📋 Description

• 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 • Understand customers’ AI ambitions, business objectives, technology stacks, data environments, security requirements, governance models, integration landscapes, and revenue workflows • Architect how Gong fits within customers’ AI ecosystems using APIs, MCP, Gong Assistant, Deep Research, integrations, and workflow automation • Advise customers on practical AI use cases, responsible adoption, and effective credit usage • Guide customers on AI architecture best practices and use of Gong data and capabilities in AI-enabled applications • Assess data governance, data residency, identity and access management, agent permissions, auditability, human-in-the-loop controls, guardrails, and AI risk • Develop AI value hypotheses and technical validation plans for build-versus-buy decisions, total cost of ownership, adoption economics, and ROI • Position Gong within AI ecosystems including Salesforce, Microsoft, Anthropic Claude, OpenAI, and governance tooling • Create customer-specific reference architectures, integration patterns, technical roadmaps, validation plans, risk registers, and implementation recommendations • Serve as senior technical voice in executive presentations, security and architecture reviews, RFPs, proofs of concept, and technical win plans • Translate complex AI concepts and technical tradeoffs into business value • Partner with Product, Engineering, Product Marketing, Professional Services, Support, and Customer Success • Develop reusable field assets and enable Solutions Engineers and account teams • Provide market feedback to Product and Engineering • Represent Gong competitively against other vendors’ AI offerings

🎯 Requirements

• 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 • Expertise in generative AI, large language models, AI agents, MCP, APIs, integrations, data flows, vibe coding, and enterprise software architecture • Familiarity with OpenAI, Anthropic Claude, Gemini, Google Vertex, Salesforce, Microsoft, and related enterprise AI technologies • Experience with AI governance, responsible AI, data privacy, identity and access management, security, compliance, observability, auditability, and enterprise deployment • Ability to lead architecture workshops and translate ambiguous business needs into executable technical designs • Experience with technical discovery, security reviews, RFPs, pilots, and proofs of concept • Strong executive communication, influence, and storytelling skills • Ability to translate AI capabilities into measurable outcomes for revenue organizations • Strong collaboration skills and ability to enable and scale a broader technical field organization

🏖️ Benefits

• Medical, dental, and vision plans • Wellbeing Fund flexible wellness stipend • Mental Health benefits with covered therapy and coaching • 401(k) program • Education & learning stipend • Flexible vacation time • Paid parental leave • Company-wide recharge days each quarter • Work from home stipend

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