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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. As a Senior AI Infrastructure Engineer at Gong, you'll lead the development and scaling of our machine learning training and AI infrastructure, enabling our AI and Research teams to build, train, and deploy cutting-edge AI solutions at scale. You'll collaborate across research, engineering, and business teams to create the foundations that power Gong’s AI innovation. You’ll Own: Developing and evolving Gong’s machine learning platform, including shared libraries, development standards, CI/CD pipelines, and ML/AI tooling. Designing and building scalable infrastructure that supports large-scale model training, experimentation with classic models and LLM, and validation. Driving MLOps strategy and best practices, partnering with cross-functional teams to improve developer productivity, platform reliability, and operational efficiency. You’ll Solve: Scaling machine learning infrastructure to support growing AI workloads, increasingly complex models, and rapid experimentation cycles. Creating standardized, efficient workflows that enable research and engineering teams to move from experimentation to production faster and more reliably. You’ll Impact: Accelerate AI innovation by building robust infrastructure that enables teams to develop, train, evaluate and validate models efficiently. Improve the scalability, reliability, and consistency of machine learning development across Gong’s AI organization. How You’ll Succeed Here: You bring 8+ years of software engineering experience, including 3+ years of experience building machine learning systems or LLM platforms with Python. You have strong expertise in infrastructure and system design and enjoy solving complex technical challenges end-to-end. You thrive in multidisciplinary environments, working across MLOps, DevOps, internal tooling, and AI technologies. You balance technical leadership with collaboration, influencing direction while supporting teams and stakeholders across the organization. *We operate in a flexible hybrid work model. What makes the AI Platform department at Gong unique? Here at Gong, we trust and empower our employees with ownership to solve complex problems, make the right decisions, and build the best products that create a radical impact. We call this “Own. Solve. Impact.” If you are curious to discover Gong's wonderful and challenging world, what are you waiting for? Don’t delay - fill in your application details. Who knows, maybe there’s a Gongster in you! We encourage our employees to express their personality and identity (whether gender, ethnic, religious, or sexual), and we ensure fairness and equal opportunities. We follow a hybrid working model that combines working from home, on the go, or at the office. This allows us flexibility, autonomy, positive work relationships, and effective work habits. If these considerations are important to you when choosing a workplace, we'd love to see you with us. To review Gong's privacy policy, visit www.gong.io/privacy-policy/ for more details. #LI-RO1 #LI-Hyrbid
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.