Why This Job is Featured on The SaaS Jobs
This R&D Team Lead role stands out in the SaaS ecosystem because it sits at the intersection of core platform engineering and AI product delivery. The remit centers on building the mechanisms behind an AI driven coaching and enablement suite, which is a common SaaS pattern where product differentiation depends on turning data into workflows that revenue teams rely on daily. The scope also signals a mature, multi team environment where architectural decisions compound over time.
From a SaaS career perspective, the role offers durable experience in leading product oriented engineering within a cloud based, user facing platform. Ownership spans roadmap partnership, technical design, and balancing feature throughput with engineering health, all recurring challenges in subscription products where reliability and iteration speed both matter. The emphasis on modularity and maintainability maps directly to skills needed across modern SaaS portfolios, especially as AI features are introduced into established systems.
This position is best suited to an experienced people leader who still prefers to stay close to technical decisions and execution. It will fit someone who enjoys cross functional influence with Product and Design, and who is comfortable making trade offs that affect both near term delivery and long term platform quality.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
We are looking for an Engineering Team Lead to join our Enable group, where we are redefining professional growth with AI. You will build and scale the intelligent mechanisms that power Gong’s coaching and enablement suite, crafting the future of how revenue organizations learn and perform.
You’ll Own:
- Team Evolution & Mentorship: Leading a growing squad of backend and frontend engineers, while coaching and mentoring individuals to reach their full potential.
- Roadmap Partnership: Collaborating closely with Product Management to shape the team’s roadmap, ensuring the right balance between product milestones and engineering health.
- Product Strategy: Moving beyond just execution by partnering with Product and Design to identify how AI can solve unique learning and coaching challenges. You will act as the technical voice in the room, shaping the feasibility and vision of our features.
- Technical Ownership: Driving the design and implementation of complex application features. You will be responsible for the architectural choices that ensure our AI-powered learning tools remain intuitive, high-performing, and easy to maintain as we scale.
You’ll Solve:
- Architectural Complexity: Designing and architecting scalable solutions within a large-scale enterprise platform. You will ensure that as we introduce new AI-native learning features, the system remains modular, maintainable, and high-performing.
- Priority Balancing: Navigating the tension between high-velocity feature delivery and the long-term health of the application. You will make the tough, high-level calls on when to iterate quickly and when to invest in structural improvements.
- Workflow Efficiency: Identifying and removing roadblocks in the development lifecycle. You will lead by example to foster a culture of continuous improvement, ensuring the team stays agile as we scale our feature set and our team size.
You’ll Impact:
- AI Product Innovation: You will own the development of AI-native products that change how revenue professionals work. You will transform complex data into actionable insights to help our global customer base master their skills and improve their performance.
- Engineering and Architectural Excellence: You will define coding standards and ensure the architectural integrity of our application. You will lead the design of robust features that integrate AI capabilities into our user experience while maintaining long-term code quality and system performance.
- Customer Empowerment: You will build tools that help people perform at their best. Your work will have a tangible, daily impact on how Gong users learn and grow within their organizations.
- Cultural Leadership: You will build and grow a high-performing team. You will lead by example, scaling our talent and engineering processes to meet our company goals.
How You’ll Succeed Here:
- An experienced team leader (4+ years managing people) with a hands-on approach.
- A software development veteran with 10+ years of industry experience, focused on large-scale, cloud-based technologies.
- Proficiency in Java and related frameworks (an advantage).
- Experience with user-facing products and UI development (an advantage).
- A degree in computer science or a related field (preferred).
- Most importantly, a passion for motivating, mentoring, and developing team members.
What makes Engineering 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 radical impact. We call this “Own. Solve. Impact.”
For our engineers, it's not just about writing code. You are involved and able to influence the entire process to create the best product.
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, visitwww.gong.io/privacy-policy/ for more details.
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