4 hours ago
Responsibilities
- Partner with Account Executives and Solutions Engineers on strategic enterprise opportunities involving AI architecture, governance, integrations, and complex technical requirements.
- Lead executive discovery, AI strategy discussions, architecture assessments, and technical design workshops with CIOs, CTOs, AI councils, security leaders, data leaders, and enterprise architects.
- Architect how Gong APIs, MCP, Gong Assistant, Deep Research, integrations, and workflow automation fit within customer AI ecosystems and revenue workflows.
- Assess data governance, data residency, identity and access management, agent permissions, auditability, human-in-the-loop controls, guardrails, compliance, and enterprise AI risk.
- Develop AI value hypotheses, technical validation plans, build-versus-buy analyses, total-cost-of-ownership assessments, adoption economics, and ROI models.
- Create customer-specific AI reference architectures, integration patterns, technical roadmaps, validation plans, risk registers, and implementation recommendations.
- Serve as the senior technical voice in 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 solution designs are feasible.
- Develop reusable field assets and enable Solutions Engineers and account teams on enterprise AI positioning, architecture, governance, and complex-deal execution.
- Provide competitive expertise and structured market feedback to influence Gong’s product strategy, enterprise readiness, messaging, and go-to-market execution.
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.
- 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, and Microsoft.
- 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 executable technical designs.
- Experience advancing complex enterprise opportunities through technical discovery, security reviews, RFPs, pilots, and proofs of concept.
- Strong executive communication, influence, storytelling, collaboration, and technical field-organization enablement skills.
- Ability to translate AI capabilities into practical, measurable outcomes for revenue organizations.
Benefits
- Medical, dental, and vision plans for employees and families.
- Flexible wellbeing fund and mental health benefits with covered therapy and coaching.
- 401(k) program.
- Education and learning stipend.
- Flexible vacation time and company-wide quarterly recharge days.
- Paid parental leave.
- Work-from-home stipend and remote-environment support.
Categories
Solutions Engineering
About Gong.io
Gong builds a revenue intelligence platform that captures and analyzes customer interactions (calls, emails, meetings) to deliver insights, coaching, and forecasting for sales and customer-success teams. It sells its software by subscription to businesses and integrates with common CRM and collaboration tools; more than 5,000 companies use it. Founded in 2015 and headquartered in San Francisco, Gong is a privately held company.