Staff Product Manager (AI Voice)

• 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
• 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

• Our health insurance has you covered on day 1
• Flexible working hours
• Training and career development
• Regular team building events
• A travel stipend for when you stay at Canary hotels
• Internal promotions from within the team
• Kitchen stocked with fruit, snacks, coffee, and more
• We’re a diverse and global team- If you’re technically deep, business-minded, and take real ownership through delivery, let’s talk
• Experience staying close to enterprise customers and clear examples of how that changed what you built
• 7+ years in product management, with a track record of shipping and scaling AI or conversational AI products in an enterprise SaaS environment
• A track record of driving alignment across engineering, data science, and commercial teams without direct authority
• 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
• The ability to connect AI performance to business outcomes