AI Voice Implementation Engineer

About the role

Built for hotels, Canary Technologies powers modern software with AI. Our platform is trusted by 20,000+ hoteliers worldwide. Join us in shaping the future of hospitality!

Responsibilities

• Own the technical onboarding and go-live for Canary's Voice AI product
• Run multiple deployments in parallel
• Coordinate number porting and carrier changes for a clean setup
• Debug routing and call-quality issues hands-on
• Read SIP logs and diagnose across SIP trunking, SBCs, STIR/SHAKEN attestation, PBX rules, and carrier ownership
• Serve as the escalation point for live telephony issues post-launch
• Partner with Product on call flow and escalation design
• Be the internal source of truth on voice/telephony

Qualifications

• 3+ years of hands-on experience implementing or supporting voice/telephony systems
• Able to read SIP logs and debug independently across both routing and call quality
• Working knowledge of how numbers, carriers, and porting function in practice, plus telephony compliance
• A modern view of voice — excited to partner with Product on conversational AI call flows, not just build static IVR trees
• Comfortable being customer-facing and self-directed — leading technical conversations with a hotel's IT team, vendors, and carriers, and owning the domain end-to-end including production escalations

Benefits

• Target cash compensation ranges from $100,000-$130,000, including a fixed annual salary and a performance-based bonus paid quarterly
• Stock option grant, subject to board approval
• Canary Days: Monthly company-wide days off
• Self Improvement Club: Monthly goal-sharing and budget for personal development
• Professional Development Chats: Budget for cross-functional professional development conversations
• Travel Reimbursement: Stipend for visiting Canary offices in New York, San Francisco, or Dallas
• Personal Travel Reimbursement: Credit for staying at Canary-affiliated hotels

Pay

Actual compensation will be commensurate with the candidate's skill level, experience, and specific work location.

Schedule

Details on the schedule are not specified.