Staff Product Manager, AI Voice

Canary Technologies Corp • New York, NY

1d

About The Position

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. 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. Join us in shaping the future of hospitality! We're looking for a Staff Product Manager to join Canary's AI Voice product — the system that powers intelligent, real-time voice interactions between hotels and their guests. This role sits at the intersection of cutting-edge AI and the day-to-day realities of enterprise hospitality, covering the full conversational AI lifecycle. If you're technically deep, business-minded, and take real ownership through delivery, let's talk.

Requirements

• 7+ years in product management, with a track record of shipping and scaling AI or conversational AI products in an enterprise SaaS environment.
• Real technical depth in conversational AI — LLMs, NLP, dialog management, and the infrastructure underneath — enough to lead conversations with engineers and make smart build vs. buy calls.
• A track record of driving alignment across engineering, data science, and commercial teams without direct authority.
• The ability to connect AI performance to business outcomes.
• Experience staying close to enterprise customers and clear examples of how that changed what you built.

Responsibilities

• Contribute to the strategy and roadmap for AI Voice — setting the vision for how Canary's conversational AI handles guest interactions at scale, and making the calls on what ships and when.
• Proactively surface gaps in AI accuracy, resolution rates, and system performance before customers escalate them, and turn those findings into a prioritized plan.
• Stay directly connected to enterprise hotel clients and internal stakeholders to translate real operational pain points — staffing constraints, call volume spikes, multilingual guests — into product improvements.
• Partner with Engineering, AI/ML, and Infrastructure to champion a platform-first approach: high availability, low latency, and the ability to scale across thousands of properties.
• Define and track the KPIs that actually matter — resolution rate, accuracy, latency, containment — and use that data to drive decisions, not just report them.
• Bring engineering, sales, and customer success into alignment around shared goals, especially as new AI capabilities move from development into enterprise rollout.

Benefits

• Target cash compensation ranges from $250,000 - $300,000, including a fixed annual salary and a performance-based bonus paid quarterly.
• Stock option grant, subject to board approval.
• Canary Days: 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.
• Self Improvement Club: We meet each month and share our personal goals for the month. Each individual is provided a budget towards any purchases that help us achieve these goals.
• Professional Development Chats: We provide budget to help drive cross functional professional development conversations across the organization.
• 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. Spend time working with the team in their office, and use the rest of your time exploring a new city!
• Personal Travel Reimbursement: If you stay at a hotel that Canary works with, we provide a credit towards your stay.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed