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Engineering Manager, Voice Agents Platform
Job Summary
Lead the engineering vision and execution for a cutting-edge Voice AI Agents platform that powers conversational experiences across voice, chat, and multi-channel interactions. You will manage a team of 4-8 engineers while staying hands-on with system design, code, and architecture, building production-grade systems that transform customer experiences. This role offers the chance to own reliability, real-time orchestration, and innovative agent capabilities in a high-growth environment.
Essential Functions
- Lead architecture and development of voice AI agent platform spanning voice, chat, and multi-channel experiences.
- Contribute to system design, code reviews, and implementation, focusing on LLM orchestration and real-time streaming pipelines.
- Manage, mentor, and guide a team of software engineers, supporting their career growth and professional development.
- Own technical direction for agent reliability, including session lifecycle management, real-time orchestration, and automated degradation strategies.
- Collaborate with product and design teams to plan future initiatives and translate customer needs into agent capabilities.
- Drive agile delivery in fast-paced, chaotic environments.
Required Qualifications
- 6+ years of engineering management experience, ideally at both larger and smaller companies.
- 8-15 years of experience in software engineering, building and operating complex, production-grade systems.
- 3+ years leading software engineering teams.
- Still technical with hands-on code reviews and deep dives when needed.
- Proven experience in a rapidly evolving, high-growth startup.
- Ability to work in a hybrid model.
Preferred Qualifications
- Experience at both large enterprises and startups.
- Background in property management or similar industries.
- Hands-on contributions to production AI systems.
Technical Skills
- Real-time, low-latency systems (streaming, WebSockets)
- LLM-powered applications in production
- Distributed systems fundamentals
- Voice infrastructure (WebRTC, STT/TTS pipelines)
- AI coding assistants (Cursor, Claude)
- Session lifecycle management
- Real-time orchestration
- Automated degradation strategies
- Agile delivery in fast-paced environments
Education & Certifications
B.S. or M.S. in Computer Science or related field.
Compensation & Benefits
Competitive compensation up to $250,000, commensurate with experience. Comprehensive benefits package for direct hire role.