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Updated 2026-06-29 23:00 UTC·© 2025–2026 RoleSuite
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Staff Product Manager, AI Voice

Canary Technologies · New York, NY

About Us
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!
 

About the Role

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.

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.
  • Qualifications

  • 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.
  • Compensation

    Target cash compensation ranges from $250,000 - $300,000, including a fixed annual salary and a performance-based bonus paid quarterly.

    This role also includes a stock option grant, subject to board approval.

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

    Product pay context

    Based on 1,719 disclosed Product salaries on RoleSuite, the role pays a median of $176K/year, with most offers between $142K and $217K (10th–90th percentile: $115K–$260K).

    This posting lists $250K–$300K, above the $176K market median.

    See the full Product salary breakdown →
    Apply →

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