תיאור המשרה
Company Description
Vayu is a revenue and billing management platform for modern companies. As companies shift from static pricing to usage- and value-based models, the financial infrastructure required to support them is becoming exponentially more complex. At Vayu, we're building the financial backbone for this new era - enabling companies to power complex billing, real-time usage metering, and automated financial workflows at scale.
We're looking for an R&D Team Lead to lead this effort.
Role Description
Lead the engineering team behind this financial backbone - owning the architecture of mission-critical systems that process massive volumes of financial data, power agentic financial workflows, and serve global B2B enterprises.
This is a hands-on leadership role that combines deep technical ownership with building and growing a world-class engineering team.
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What You'll Do
Lead & Mentor: Manage and grow a high-performing team of engineers, fostering a culture of technical excellence, continuous learning, and ownership.
Own the Core: Lead the design and implementation of scalable, reliable, and secure services that handle massive volumes of usage data and financial transactions.
Architect for Scale: Tackle complex distributed systems challenges, ensuring our infrastructure can support hybrid pricing models and real-time revenue insights.
Drive Code Quality: Set and enforce engineering best practices to ensure the highest standards of system reliability and long-term maintainability.
Cross-functional Collaboration: Partner closely with Product, Finance, and customers to translate complex requirements into scalable technical solutions.
AI-Driven Development: Champion the use of LLMs and agentic workflows within the team to accelerate delivery and raise the engineering bar.
Qualifications
Leadership experience: Proven track record in an engineering leadership or management role, developing talent and guiding teams through technical challenges.
Technical depth: Expert-level proficiency in Node.js. TypeScript experience is a significant advantage.
System design: Strong background in microservices architecture and distributed systems that handle high throughput.
Data & infrastructure: Extensive experience designing robust data architectures with relational and non-relational databases, and managing cloud-based infrastructure.
AI proficiency: Hands-on experience working with and managing AI-driven development tasks, including leveraging LLMs and agentic workflows to accelerate engineering delivery.
Communication: Exceptional interpersonal skills with a proven track record of developing talent and leading teams through technical challenges.
