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.
- 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.
- 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.
- 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.
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Skills Required
- 8+ years of software engineering experience
- 3+ years of experience building machine learning systems with Python
- Strong infrastructure and system design expertise
- Experience in MLOps, DevOps, internal tooling, and AI technologies
Gong Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Gong and has not been reviewed or approved by Gong.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, with medical/dental/vision options and strong employer support for mental health and fertility benefits. Added items like HSA/FSA support and disability coverage further strengthen the overall protection package.
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Leave & Time Off Breadth — Time-off policies are framed as generous, including flexible or unlimited PTO alongside paid holidays and periodic company-wide recharge days. Paid parental leave is also highlighted as meaningful for many life stages.
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Equity Value & Accessibility — Equity is described as a major component of total rewards, with RSUs, refreshers, and an ESPP contributing to upside potential for certain roles and levels. Spot bonuses and commission structures add to the perceived attractiveness of the broader rewards mix in some functions.
Gong Insights
What We Do
We created the Revenue Intelligence category to enable leading revenue teams to get the unfiltered truth about their customer interactions, their deals, and transform the way they go to market.
Why Work With Us
Each department strives to be the best at its craft, yet, we're here to win as a team as well! From our engineers working with the latest in machine learning, to our world-class sales and success teams, we’ve created an inclusive culture where everyone is set up for success.
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