11 days ago

AI Enablement and Innovation

Gong

On Site
Full Time
$175,000
Austin, CO

Job Overview

Job TitleAI Enablement and Innovation
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$175,000
LocationAustin, CO

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Job Description

About Gong

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.

Role Summary

Gong is seeking a hands-on Staff, AI Enablement and Innovation professional to own our internal AI operating model. Sitting within our IT organization, this role is the heartbeat of our internal digital transformation. You will empower our internal teams by bridging the gap between high-level business discovery and deep technical execution.

You will be the primary architect of Gong’s internal agentic strategy—responsible for "mining" the business for efficiency opportunities while simultaneously building the centralized orchestration layer that ensures our enterprise AI spend is governed, consistent, and scalable. This is a high-impact IC (Individual Contributor) role designed for a "scrappy builder" who thrives on turning internal complexity into streamlined, automated excellence.

Responsibilities

Strategy & Governance (The "Guardrails")
  • Define the Roadmap: Partner with Security, Legal, and business leaders to define the internal AI roadmap.
  • Own the Stack: Operate the enterprise AI stack, including LLMs, vector databases, and gateways.
  • Standardization: Enforce consistent patterns for tool calling, prompt versioning, state management, and error handling to prevent fragmented, "ad-hoc" agent implementations.
  • Lifecycle Management: Manage the full model lifecycle, from evaluation and testing to upgrades and deprecation.
Discovery & Execution (The "Gold Mining")
  • Business Partnership: Proactively interview teams (Talent, Support, Sales) to identify manual workflows that can be automated via agentic AI.
  • Proof of Efficacy: Build and deploy POCs independently to demonstrate ROI before scaling.
Financial & Performance Operations (The "Numbers")
  • Cost Management: Own the token procurement process and build forecasting/chargeback models to prevent uncontrolled spend.
  • Performance Monitoring: Build dashboards to track SLAs/SLOs (latency, accuracy, uptime) and monitor usage, cost, and error rates.
  • Optimization: Proactively identify opportunities for cost-saving (e.g., model switching) and performance tuning.

Qualifications

The Persona
  • You are a Senior IT Business Analyst, Technical Implementation Lead, or Solutions Architect.
Technical Depth

Practical, hands-on experience with the modern AI stack (OpenAI, Gemini, Anthropic, Vector DBs). You understand the nuances of state management and prompt versioning.

Scrappy Builder

You have a "hands-on-keyboard" mentality. You can take an idea from a stakeholder and turn it into a working agentic workflow without needing external engineering resources.

Business Acumen

Ability to translate complex technical AI patterns into clear business value and ROI for stakeholders.

Operational Rigor

Experience managing vendor relationships, forecasting technical costs (tokens), and maintaining system uptime/SLAs.

You Are

  • Orchestration: Experienced with LangChain, or similar agentic frameworks.
  • AI Tooling: Prompt Flow, Vector Databases, and API integration.
  • Data & Analytics: Ability to build performance and cost-tracking dashboards (SQL, Tableau, etc.).

Perks & Benefits

  • We offer Gongsters a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
  • Wellbeing Fund - flexible wellness stipend to support a healthy lifestyle.
  • Mental Health benefits with covered therapy and coaching.
  • 401(k) program to help you invest in your future.
  • Education & learning stipend for personal growth and development.
  • Flexible vacation time to promote a healthy work-life blend.
  • Paid parental leave to support you and your family.
  • Company-wide recharge days each quarter.
  • Work from home stipend to help you succeed in a remote environment.

Key skills/competency

  • AI Strategy
  • Agentic AI
  • LLM Operations
  • Vector Databases
  • LangChain
  • Prompt Engineering
  • Business Process Automation
  • Cost Management
  • Performance Monitoring
  • Solution Architecture

Tags:

AI Enablement
Innovation
Staff
AI Architect
AI Strategy
Governance
Automation
Workflow Optimization
Cost Management
Performance Monitoring
Business Analysis
Solution Architecture
Proof of Concept
Stakeholder Management
LLMs
Vector Databases
LangChain
OpenAI
Gemini
Anthropic
Prompt Flow
SQL
Tableau
API Integration
Agentic AI

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How to Get Hired at Gong

  • Research Gong's AI vision: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor, focusing on their Revenue AI Operating System.
  • Tailor your resume: Highlight hands-on experience with modern AI stacks (LLMs, Vector DBs), agentic frameworks like LangChain, and strong business analysis skills.
  • Showcase "scrappy builder" projects: Prepare to discuss specific instances where you independently transformed a business idea into a working, automated AI workflow.
  • Prepare for technical deep-dives: Expect questions on prompt versioning, state management, API integration, and how you approach model lifecycle management.
  • Demonstrate business acumen: Articulate how you translate complex AI technical patterns into clear business value and measurable ROI for various stakeholders.

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