Engineering Manager, Voice Agents Platform

About

Join a 35-person team transforming an industry with AI agents functioning like experienced property managers. HOAi grew customer count 13x in 2025, went from $0.5M to seven-figure ARR in a year, operating inside Vantaca, a PE-backed platform valued at $1.25B with 6M+ doors. Backed by Cove Hill Partners and JMI Private Equity, targeting $20M+ ARR in 2026.

As Engineering Manager for the Voice Agents Platform, you will own the technical vision and execution for HOAi's Voice AI agents, leading a team of 4 to 8 engineers while remaining hands-on with code, design, and architecture 50% of the time.

Why this role is remarkable

• Own the technical direction of a Voice AI platform in a rapidly growing company.
• Lead a team building production-grade conversational AI including voice, chat, and multi-channel experiences.
• Fast process with startup speed and ownership culture inside a PE-backed business scaling engineering from 11 to 30+ engineers.

What you will do

• Lead architecture and development of the Voice AI agent platform across voice, chat, and multi-channel.
• Contribute to system design, code reviews, and implementation in LLM orchestration, real-time streaming pipelines, WebRTC, and telephony infrastructure.
• Manage, mentor, and guide a team of 4 to 8 engineers.
• Own technical direction for agent reliability including session lifecycle management, real-time orchestration, and automated degradation strategies.
• Use tools like Cursor and Claude Code daily.
• Collaborate with product and design teams to translate customer needs into agent capabilities.
• Work closely with CEO and senior engineering leadership to shape the roadmap through 2026.

The ideal candidate

• 5 to 10 years software engineering experience with 2+ years leading teams.
• Strong distributed systems fundamentals: queues, workers, caching, event-driven architectures.
• Hands-on experience building real-time low-latency systems using WebSockets, streaming, or similar.
• Experience with LLM-powered applications in production.
• Exposure to voice infrastructure: WebRTC, telephony, SIP concepts, STT, and TTS pipelines.
• CS or engineering degree.
• Active daily use of AI coding assistants.
• Startup background between Series A and D with a scrappy mindset.
• Not a pure people manager or manager of managers.
• Not from heavily ML or data engineering backgrounds.
• Prefers fast-paced startup environments over slow corporate settings.

Next steps

• Apply via the LinkedIn job post.
• Review and outreach if a strong match.
• Direct introduction to the team if aligned.
• Possible introductions to other startup roles if not the right fit.

Additional info

• H1B transfers welcome.
• Relocation support available.
• Work schedule: Tuesday through Thursday in-office (hybrid).