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Описание вакансии
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TL;DR
Senior Engineering Manager (AI Calling): Leading the development of Dialpad’s end-to-end calling experience across frontend, backend, real-time audio, contact center capabilities, and hardware devices with an accent on WebRTC, SIP, AI-assisted conversations, and high-scale reliability. Focus on evolving event-driven cloud services, improving media quality and latency, building AI-native contact center features, and leading experienced engineering teams.
Location: Vancouver, British Columbia, Canada
Salary: $232,000–$281,500 CAD base salary
Company
Dialpad provides an AI-powered customer experience platform for voice and digital communications, combining AI agents and human agents on a shared platform.
What you will do
- Lead and grow a team of experienced engineers through coaching, performance management, hiring, and career development.
- Define the team’s 1–3 year technical vision and roadmap with product partners.
- Own large cross-functional projects from requirements gathering and planning through delivery.
- Lead the frontend and backend calling experience, including seamless AI-to-human handoffs, real-time assistance, and reliable live call flows.
- Evolve the calling platform toward well-bounded, event-driven, containerized services with defined SLOs and safe migrations without disrupting live calls.
- Develop Dialpad’s hardware ecosystem, evaluate architecture, and stay hands-on with code reviews, design discussions, and implementation.
Requirements
- 5+ years leading high-performing engineering teams and 10+ years of professional engineering or engineering leadership experience.
- Experience with real-time communications, including WebRTC, SIP, VoIP, echo cancellation, call routing, or low-latency call setup.
- Strong CCaaS knowledge covering routing, queues, IVR, AI skill-based routing, agent assist, and auto-QA.
- Full-stack fluency with a modern JavaScript framework, Vue 3, TypeScript, and Python or Java.
- Experience with microservices, containerization, orchestration, cloud-native architectures, high-traffic systems, SLOs, and gradual migrations.
- Bachelor’s or Master’s degree in Computer Science or a related field, or equivalent experience, plus strong communication, mentoring, hiring, and interviewing skills.
Nice to have
- Google Cloud Platform experience.
- Experience building or scaling contact center hardware such as desk phones, Room Phones, ATAs, or DECT solutions.
Culture & Benefits
- Work on AI-native products transforming business communications.
- Access to advanced AI tools, training programs, and opportunities for professional growth.
- Competitive compensation and comprehensive benefits.
- Inclusive offices designed to support collaboration and connection.
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