Senior Manager, Engineering

Responsibilities

• Lead and grow a team of highly experienced engineers through one-on-ones, coaching, performance reviews, and career development.
• Define the 1–3 year team vision and roadmap with product partners.
• Own large projects end-to-end, including requirements gathering, planning, resourcing, and delivery.
• Lead the calling frontend, including seamless human–AI handoffs, preserved context, and real-time assistance.
• Lead the calling backend through architectural evolution, including reliability improvements, SLOs, criticality tiers, event-driven services, containerization, and safe migrations.
• Grow the hardware ecosystem across desk phones, Room Phones, ATAs, and DECT solutions.
• Evaluate technical designs and architecture proposals for scale and evolving business needs.
• Partner with distributed engineering, product, design, and support teams.
• Champion AI-native development using frontier models, AI agents, documentation, and end-to-end test automation.
• Improve engineering processes and ensure high-quality, timely delivery.
• Recruit candidates from diverse backgrounds.
• Participate in code reviews, design discussions, and technical implementation as needed.

Requirements

• 5+ years leading high-performing engineering teams, including cross-functional or multi-team projects.
• 10+ years of professional experience as an engineer or engineering leader.
• Experience with real-time communications, including WebRTC, SIP, and VoIP.
• Knowledge of echo cancellation, call routing, and outbound call performance.
• Strong contact center domain knowledge, including routing, queues, and IVR.
• Full-stack fluency with a modern JavaScript framework, Vue 3, TypeScript, and Python or Java.
• Experience with cloud-native architectures, microservices, containerization, and orchestration.
• Experience evolving high-traffic production systems, defining SLOs, decomposing monoliths, and executing safe gradual migrations.
• Ability to diagnose and prevent performance and scalability problems.
• Hands-on fluency with AI-assisted development and coding agents.
• Strong communication, collaboration, mentoring, hiring, and interviewing skills.
• Bachelor's or master's degree in Computer Science or a related field, or equivalent experience.

Compensation

• For exceptional talent based in British Columbia, Canada, the target base salary range is $232,000–$281,500 CAD.
• Compensation details reflect base salary only and exclude bonus, equity, and benefits.
• Benefits include competitive benefits and perks, AI tools, and training programs.