Senior Engineering Manager

We are seeking an experienced Senior Engineering Manager of Engineering to lead a mid-sized engineering organization responsible for RingCentral’s cloud-based Phone application capabilities.

This leader will manage a team of architects, software engineers, and automation engineers building scalable, resilient, and high-quality mobile and web experiences in the real-time communications domain. The ideal candidate brings deep expertise in telecom and VoIP technologies, strong engineering leadership, operational excellence, and a proven ability to drive execution across globally distributed teams.

The role requires a hands-on engineering leader who can balance strategic thinking with execution, foster innovation, raise engineering maturity, and build a culture of ownership, accountability, and continuous improvement.

Primary Responsibilities:

- Lead and grow a high-performing engineering organization focused on Phone application development across mobile and web platforms.

- Quickly build trust within an existing organization, assess strengths and gaps, and evolve team capabilities, structure, and engineering culture.

- Drive architectural direction and technology decisions across VoIP, SIP, RTP, WebRTC, signaling, and media handling systems.

- Champion AI-assisted engineering practices to improve developer productivity, software quality, and delivery velocity.

- Lead complex cross-functional and cross-geo initiatives with predictable execution and strong stakeholder alignment.

- Partner with Product Management, UX, Platform, and Architecture teams to define priorities and execution strategy.

- Balance feature delivery with long-term platform scalability, reliability, maintainability, and technical debt reduction.

- Establish strong engineering practices across architecture, code quality, testing, observability, release management, and operational excellence.

- Drive high availability and reliability standards, including five-nines (99.999%) SLA expectations.

- Use metrics and data-driven insights to improve engineering efficiency, software quality, and operational performance.

- Proactively identify and remove technical, organizational, and execution roadblocks.