Canary Technologies Corp

AI Voice Product Operations Manager

New York, NY

Sponsorship not specified$145k-$195kDetected 22 days ago

SQLRESTAgentic AICommunication

About the role

We believe every way a hotel and its guests communicate should be facilitated through Canary - with best-in-class AI agents working alongside staff to boost efficiency, revenue, and guest personalization.
Voice is one of the most exciting frontiers of that vision.
As the AI Voice Product Operations Manager, you'll help the Voice product team turn roadmap into rollouts that work well for hotels.

Run experiments - A/B tests, phased rollouts, pilots, and early access programs - to validate what works before scaling.
Own the measurement framework for Voice: define the KPIs that matter and maintain the dashboards the team relies on.
Partner with Go-To-Market to make each rollout better than the last through process improvements and AI-enabled workflows
Excellent communicator who can work with both technical and non-technical audiences and build alignment
Professional Development Chats: We provide budget to help drive cross functional professional development conversations across the organization.

Data-driven, with SQL skills and hands-on experience designing experiments, defining KPIs, and building dashboards in BI/analytics tools.
Excellent communicator who can work with both technical and non-technical audiences and build alignment; bias for action in a fast-paced, high-growth environment.

APIs/scripting and a tinkerer's instinct
experience in hospitality tech or telephony/voice/communications products.
3+ years in product operations, technical program management, strategy & operations, consulting, or a related role - ideally in B2B SaaS.
Track record of owning complex launches and rollouts end-to-end, coordinating across Product, Engineering, and GTM.
Strong program management skills - comfortable driving many moving parts and multiple concurrent deployments through ambiguity to done.
bias for action in a fast-paced, high-growth environment.

Target cash compensation ranges from $145,000 - $195,000, including a fixed annual salary and a performance-based bonus paid quarterly.
Actual compensation will be commensurate with the candidate's skill level, experience, and specific work location.

Travel Reimbursement: Team members are able to visit our offices across New York, San Francisco or Dallas when they choose, and are provided a travel stipend for doing so.
Personal Travel Reimbursement: If you stay at a hotel that Canary works with, we provide a credit towards your stay.

Canary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform.
Canary is utilized by 20,000+ hoteliers in 100+ countries to equip hoteliers with the technology they need to work smarter and wow their guests.
Major hotel brands such as Wyndham, Marriott, IHG, Four Seasons, Rosewood, and Best Western trust Canary to deliver results.
Join us in shaping the future of hospitality!
Canary was named a 2024 Deloitte Technology Fast 500™ company, a Most Innovative Company by Fast Company and a HotelTechReport Best Place to Work - and is backed by top Silicon Valley investors like Y Combinator, F-Prime, Brighton Park Capital and Insight Partners.
As a company we want to ensure that the team has time to recharge.
Each month we provide company wide days off to ensure there is at least one extended weekend or day off.
Drive adoption, not just go-live: make sure new capabilities land with customers and deliver the efficiency, revenue, and guest-experience gains they're built for.
About Us Canary Technologies is changing the game for hotels with modern software powered by Canary's hospitality-specific AI platform.

We recruit, employ, train, compensate and promote talent regardless of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic inform

This listing is sourced directly from Canary Technologies Corp's careers page and normalized into a canonical job model.