Senior Product Manager (AI Voice)

• We’re looking for a Senior Product Manager to help drive 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
• Execute the roadmap for AI Voice — translating customer needs and business priorities into a clear plan for what ships and when
• Monitor AI accuracy, resolution rates, and system performance, and surface actionable improvements before customers feel the impact
• Engage directly with hotel clients and internal stakeholders to understand operational pain points — staffing constraints, call volume spikes, multilingual guests — and turn them into product requirements
• Collaborate with Engineering, AI/ML, and Infrastructure to help prioritize platform investments around reliability, latency, and scale
• Track the KPIs that matter — resolution rate, accuracy, latency, containment — and use that data to inform prioritization and communicate progress
• Work cross-functionally with engineering, sales, and customer success to keep teams aligned as new AI capabilities move from development into 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 curious, customer-focused, and energized by turning complex problems into great products, let’s talk
• Ability to work cross-functionally and keep teams aligned without direct authority
• 5+ years in product management, with experience shipping AI, conversational AI, or technically complex SaaS products
• Experience working directly with customers and incorporating their feedback into what you build
• Strong analytical skills and comfort connecting product metrics to customer and business outcomes
• Enough technical fluency in conversational AI — LLMs, NLP, dialog management — to collaborate effectively with engineers and ask the right questions