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Salary
$250k – $300k per year
Location
Remote/Hybrid (New York, United States)
Seniority
Staff · 7+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Canary Technologies is helping to modernize the hotel technology stack with agile, cloud-based solutions to improve antiquated workflows. Canary provides a suite of innovative, PCI-compliant tools that help hotels provide a better guest experience...

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.

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